Citiation Geoinformatics geostatistics an overview
Articles published in Geoinformatics & Geostatistics: An Overview have been cited by esteemed scholars and scientists all around the world. Geoinformatics & Geostatistics: An Overview has got h-index 11, which means every article in Geoinformatics & Geostatistics: An Overview has got 11 average citations.
Following are the list of articles that have cited the articles published in Geoinformatics & Geostatistics: An Overview.
2024 | 2023 | 2022 | 2021 | 2020 | |
---|---|---|---|---|---|
Total published articles |
48 | 56 | 42 | 59 | 23 |
Research, Review articles and Editorials |
5 | 2 | 1 | 18 | 5 |
Research communications, Review communications, Editorial communications, Case reports and Commentary |
34 | 54 | 32 | 42 | 16 |
Conference proceedings |
0 | 0 | 0 | 0 | 0 |
Citations received as per Google Scholar, other indexing platforms and portals |
128 | 174 | 204 | 238 | 249 |
Journal total citations count | 1436 |
Journal Impact Factor | 4.86 |
Journal 5 years Impact Factor | 6.75 |
Journal CiteScore | 6.71 |
Journal h-index | 11 |
Journal h-index since 2017 | 10 |
Hinnov, L., Ramamurthy, K. N., Song, H., Banavar, M., & Spanias, L. (2013, October). Interactive tools for global sustainability and Earth systems: Sea level change and temperature. In Frontiers in Education Conference, 2013 IEEE(pp. 1965-1970). IEEE. |
Day, J. A. (2016). The dynamics of precipitation variability in the Asian monsoon (Doctoral dissertation, UC Berkeley). |
Handisyde, N. (2015). The use of remote sensing and GIS for modelling aquaculture site suitability in relation to changing climate. |
Chadwick, A. (2015). Steps and cycles. Geoscientist, 25(6), 10-15. |
Wang, B., Chen, T., Xu, G., Wu, G., & Li, C. (2017). Reconstructed annual mean temperatures for the northeastern margin of the Tibetan Plateau: associations with the East Asian monsoons and volcanic events. International Journal of Climatology, 37(6), 3044-3056. |
Liu, W., Gou, X., Li, J., Huo, Y., & Fang, K. (2015). A method to separate temperature and precipitation signals encoded in tree-ring widths for the western Tien Shan Mountains, northwest China. Global and Planetary Change, 133, 141-148. |
Nasim, W., Amin, A., Fahad, S., Awais, M., Khan, N., Mubeen, M., ... & Ahmad, S. (2018). Future risk assessment by estimating historical heat wave trends with projected heat accumulation using SimCLIM climate model in Pakistan. Atmospheric Research, 205, 118-133. |
Engler, S., Okitoi, J., & Sommer, B. (2015). Climate Change, Drought, and Famine in Kenya. A Socio-Ecological Analysis. Working Paper NR. 1/2015. |
Matthews, J. B., & Matthews, J. R. (2013). Ocean Surface Warming Part 2: Isle of Man daily surface timeseries 1904-2012, Arctic basal ice melt, sunspots, and ocean warming. Ocean Sci. Discuss. |
Rine, J. M. (2014). An examination of carbon budgets, carbon taxes, industry attitudes to global warming, and AAPG. Environmental Geosciences, 21(4), 127-140. |
ÃâðúÃÆûõýúþ, ÃÂ. Ãâ., ÚþÃâûÃÂúþò, Ãâ. ÃÅ., ßðÃâ¬Ãâ¬ÃµÃ½Ã¸Ã½, ä., & áþýõÃâ¡ÃºÃ¸Ã½, Ãâ. ÃÅ. (2016). ÃËÃÂÃÂûõôþòðýøõ Ãâ¬Ã°Ã·Ã½Ã¾Ã¼Ã°ÃÂÃËÃâðñýÃâ¹Ã⦠ò÷ðøüþÃÂòÃÂ÷õù üõöôÃÆ Ã¸Ã·Ã¼ÃµÃ½ÃµÃ½Ã¸ÃÂüø ÿÃâ¬Ã¸Ã·ÃµÃ¼Ã½Ã¾Ã¹ ÃâõüÿõÃâ¬Ã°ÃâÃÆÃâ¬Ã⹠òþ÷ôÃÆÃâ¦Ã° ø úþýÃâ õýÃâÃâ¬Ã°Ãâ øø áÞ2 ò ðÃâüþÃÂÃâõÃâ¬Ãµ. ÃâºÃâô ø áýõó, 56(4), 533-544. |
ÃâðúÃÆûõýúþ, ÃÂ. Ãâ., & áþýõÃâ¡ÃºÃ¸Ã½, Ãâ. ÃÅ. (2017). ÃÂýðûø÷ Ãâ¬Ã°Ã½Ã½Ã¸Ã⦠øýÃÂÃâÃâ¬ÃÆüõýÃâðûÃÅýÃâ¹Ã⦠ø÷üõÃâ¬ÃµÃ½Ã¸Ã¹ ÃâõüÿõÃâ¬Ã°ÃâÃÆÃâ¬Ã⹠òþ÷ôÃÆÃâ¦Ã° ôþ ø ÿþÃÂûõ ø÷òõÃâ¬Ã¶ÃµÃ½Ã¸Ã Ã²ÃÆûúðýð âðüñþÃâ¬Ã°. ÃÅõÃâõþÃâ¬Ã¾Ã»Ã¾Ã³Ã¸Ã Ã¸ óøôÃâ¬Ã¾Ã»Ã¾Ã³Ã¸ÃÂ, (10), 100-110. |
Werner, J. P., Divine, D. V., Ljungqvist, F. C., Nilsen, T., & Francus, P. (2018). Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia. Climate of the Past, 14(4), 527. |
Brunetti, M., & Squintu, A. A. Daily temperature trends in Trentino Alto Adige over the last century. |
Lehner, F., Deser, C., & Sanderson, B. M. Increasing risk of record-breaking summer temperatures under global warming and the potential for mitigation. |
Devanand, A., Roxy, M. K., & Ghosh, S. (2018). Coupled Landââ¬ÂAtmosphere Regional Model Reduces Dry Bias in Indian Summer Monsoon Rainfall Simulated by CFSv2. Geophysical Research Letters, 45(5), 2476-2486. |
Pfleiderer, P., Schleussner, C. F., Mengel, M., & Rogelj, J. (2018). Global mean temperature indicators linked to warming levels avoiding climate risks. Environmental Research Letters, 13(6), 064015. |
Dunn, R., Allan, R., Folland, C., & Morice, C. • The chapter editors thank David Parker, Mark McCarthy, and John Kennedy for providing de-tailed and comprehensive internal reviews of this chapter. |
Mann, M. E. Swipe to navigate through the chapters of this book. |
Chen, X., Xing, P., Luo, Y., Nie, S., Zhao, Z., Huang, J., & Tian, Q. (2018). Multiscale combination of climate model simulations and proxy records over the last millennium. Theoretical and Applied Climatology, 132(3-4), 763-777. |
Wang, J., Song, C., Reager, J. T., Yao, F., Famiglietti, J. S., Sheng, Y., ... & Wada, Y. (2018). Recent global decline in endorheic basin water storages. Nature geoscience, 11(12), 926. |
Hu, H. Y. D. Y. Q., & Lv, H. (2014). Spatial variability of the trends in climatic variables across China during 1961–2010. |
Cahill, N. (2018). No “slowdown” in the story of global warming. Significance, 15(1), 24-27. |
Christian, J. E., Koutnik, M., & Roe, G. (2018). Committed retreat: controls on glacier disequilibrium in a warming climate. Journal of Glaciology, 64(246), 675-688. |
Sharpe, J. (2015). Modelling hydrogen storage in nanoporous materials for use in aviation (Doctoral dissertation, University of Bath). |
Huang, T., & Jiao, F. (2017, August). Data Transfer and Extension for Mining Big Meteorological Data. In International Conference on Intelligent Computing (pp. 57-66). Springer, Cham. |
Zhukov, O. V., Pelina, T. O., Demchuk, O. M., Demchuk, N. I., & Koberniuk, S. O. (2018). Agroecological and agroeconomic aspects of the grain and grain legumes (pulses) yield dynamic within the Dnipropetrovsk region (period 1966–2016). Biosystems Diversity, 26(2), 170-176. |
Pasqui, M. (2015). Evaluation of future diurnal variability and projected changes in extremes of precipitation and temperature and their impacts on crop production over regional case studies (eg Agroscenari case studies). FACCE MACSUR Reports, 6, 4-3. |
Mikšovský, J., & Pišoft, P. attribution of european temperature variability during 1882–2010: a statistical perspective. Global ChanGe: a Complex ChallenGe, 10. |
Buckley, B. M., Hansen, K. G., Griffin, K. L., Schmiege, S., Oelkers, R., D’Arrigo, R. D., ... & Wilson, R. J. (2018). Blue intensity from a tropical conifer’s annual rings for climate reconstruction: An ecophysiological perspective. Dendrochronologia, 50, 10-22. |
Sherman, P., Chen, X., & McElroy, M. B. (2017). Wind-generated Electricity in China: Decreasing Potential, Inter-annual Variability and Association with Changing Climate. Scientific reports, 7(1), 16294. |
Thorne, P. (2016). Global Surface Temperatures. In Climate Change (pp. 21-35). Elsevier. |
Cowtan, K., & Way, R. Coverage bias in the HadCRUT4 temperature series. |
Hébert, R., & Lovejoy, S. (2018). Regional Climate Sensitivityââ¬Âand Historicalââ¬ÂBased Projections to 2100. Geophysical Research Letters. |
Riaz, S. (2018). ROLE OF MEDIA IN CLIMATE SENSITIZATION. Pakistan Journal of Social Sciences (PJSS), 38(1). |
Kilibarda, M., TadiÃâ¡, M. P., Hengl, T., LukoviÃâ¡, J., & Bajat, B. (2015). Spatial Statistics. |
Anderson, W., Seager, R., Baethgen, W., & Cane, M. (2018). Trans-Pacific ENSO teleconnections pose a correlated risk to agriculture. Agricultural and Forest Meteorology, 262, 298-309. |
Khan, N., Shahid, S., Ahmed, K., Ismail, T., Nawaz, N., & Son, M. (2018). Performance Assessment of General Circulation Model in Simulating Daily Precipitation and Temperature Using Multiple Gridded Datasets. Water, 10(12), 1793. |
Arndt, D. S., Blunden, J., & Willett, K. M. (2016). State of the Climate in 2015. |
Sanders-DeMott, R. (2017). Interacting effects of growing season and winter climate change on nitrogen and carbon cycling in northern hardwood forests (Doctoral dissertation). |
Martinezââ¬ÂVillalobos, C., & Neelin, J. D. (2018). Shifts in Precipitation Accumulation Extremes During the Warm Season Over the United States. Geophysical Research Letters, 45(16), 8586-8595. |
Galkowski, J., & Studios, W. S. (2014). Warming Pause?. |
Jones, R., & Ricketts, J. (2016). Atmospheric warming 1997–2014: hiatus, pause or regime?. |
Wang, S., & Tian, Q. Xin Chen, Pei Xing, Yong Luo, Suping Nie, Zongci Zhao, Jianbin Huang. |
Matthews, J. B., & Matthews, J. R. Physics of Climate Change: Harmonic and exponential processes from in situ ocean time series observations show rapid asymmetric warming. |
Sudmeyer, R. A., Edward, A., Fazakerley, V., Simpkin, L., & Foster, I. (2016). Climate change: impacts and adaptation for agriculture in Western Australia. |
Richard, M. (2013). Berkeley Earth Temperature Averaging Process. Geoinformatics & Geostatistics: An Overview. |
Hammad, M., Mucsi, L., & van Leeuwen, B. (2018). Land Cover Change Investigation in the Southern Syrian Coastal Basins During the Past 30-Years Using Landsat Remote Sensing Data. Journal of Environmental Geography, 11(1-2), 45-51. |
Roy, S. S. (2018). Climate Change in the Global South: Trends and Spatial Patterns. In Linking Gender to Climate Change Impacts in the Global South (pp. 1-25). Springer, Cham. |
Beaulieu, C., & Killick, R. (2018). Distinguishing trends and shifts from memory in climate data. Journal of Climate, 31(23), 9519-9543. |
Lewis, S. C., & King, A. D. (2016). To appear in: Weather and Climate Extremes. |
Herrera, D. A., Ault, T. R., Fasullo, J. T., Coats, S. J., Carrillo, C. M., Cook, B. I., & Williams, A. P. (2018). Data from: Exacerbation of the 2013–2016 Pan-Caribbean Drought by Anthropogenic Warming. |
Mann, M. E. (2018). Reconciling Climate Model/Data Discrepancies: The Case of the ‘Trees That Didn’t Bark’. In Climate Modelling (pp. 175-197). Palgrave Macmillan, Cham. |
Kam, J., Knutson, T. R., Zeng, F., & Wittenberg, A. T. (2018). CMIP5 Model-based Assessment of Anthropogenic Influence on Highly Anomalous Arctic Warmth During November–December 2016. Bulletin of the American Meteorological Society, 99(1), S34-S38. |
Canel, L. M., & Katz, J. I. (2018). Trends in US Hourly Precipitation Variance 1949–2009. Journal of Hydrometeorology, 19(3), 599-608. |
Tran, N., & Wang, C. C. (2018). Effects of tube shapes on the performance of recuperative and regenerative heat exchangers. Energy. |
Dodd, E. (2015). Representing the Arctic in Global Surface Temperature Time Series of Recent Climate Change PhD in Atmosphere, Oceans and Climate. |
Gelati, E., Decharme, B., Calvet, J. C., Minvielle, M., Polcher, J., Fairbairn, D., & Weedon, G. P. (2018). Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model. Hydrology and Earth System Sciences, 22(4), 2091-2115. |
Mullan, D., Matthews, T., Vandaele, K., Barr, I. D., Swindles, G. T., Meneely, J., ... & Murphy, C. (2018). Climate impacts on soil erosion and muddy flooding at 1.5 versus 2° C warming. Land Degradation & Development. |
Curry, J. for the layman. |
Smith, K. GEOS 430-STATISTICS AND DATA ANALYSIS IN GEOLOGY. |
Hébert, R. (2017). A Scaling Model for the Forced Climate Variability Over the Anthropocene (Doctoral dissertation, McGill University Libraries). |
Beule, L., & Tantanee, S. (2014). The Relationship between Diurnal Temperature Range (DTR) and Rainfall over Northern Thailand. Advanced Materials Research. |
Cahayani, U. Final Version. |
Hartmann, D. L., Alexander, L., & Adler, R. (2012). Observations: Atmosphere and Surface 2. Notes, 25. |
Parker, W. (2018). Climate Science. |
Batté, L., Ardilouze, C., & Déqué, M. (2018). Forecasting West African Heat Waves at Subseasonal and Seasonal Time Scales. Monthly Weather Review, 146(3), 889-907. |
Railsback, L. B., Brook, G. A., Liang, F., Voarintsoa, N. R. G., Cheng, H., & Edwards, R. L. (2018). A multi-proxy climate record from a northwestern Botswana stalagmite suggesting wetness late in the Little Ice Age (1810–1820 CE) and drying thereafter in response to changing migration of the tropical rain belt or ITCZ. Palaeogeography, Palaeoclimatology, Palaeoecology. |
BERNENSIA, G. Tambora and the “Year Without a Summer” of 1816. |
Kuhns, R. J., & Shaw, G. H. (2018). The Carbon Dioxide Problem and Solution. In Navigating the Energy Maze (pp. 99-115). Springer, Cham. |
Dodd, E. (2015). Representing the Arctic in global surface temperature time series of recent climate change (Doctoral dissertation, University of Reading). |
Monier, E., Paltsev, S., Sokolov, A., Fant, C., Chen, H., Gao, X., ... & Couzo, E. A. (2017, December). A paradigm shift toward a consistent modeling framework to assess climate impacts. In AGU Fall Meeting Abstracts. |
Mengistu, D., Bewket, W., Dosio, A., & Panitz, H. J. Climate change projections for the Upper Blue Nile (Abay) River Basin, Ethiopia. |
Kaur, S., & Randhawa, S. (2018, July). Global Land Temperature Prediction by Machine Learning Combo Approach. In 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-8). IEEE. |
Rajan, S. A Comparison of Methane (CH4) and Carbon dioxide (CO2) Controls: The Impact of Controlling Emissions on the Climate System. |
Lovejoy, S. (2017). Why the Warming Can’t be Natural: The Nonlinear Geophysics of Climate Closure. Fractals: Concepts and Applications in Geosciences, 190. |
Deser, C., Simpson, I. R., Phillips, A. S., & McKinnon, K. A. (2018). How well do we know ENSO’s climate impacts over North America, and how do we evaluate models accordingly?. Journal of Climate, (2018). |
Wallace, C. J., & Joshi, M. (2018). Comparison of land–ocean warming ratios in updated observed records and CMIP5 climate models. Environmental Research Letters, 13(11), 114011. |
Rao, Y., Liang, S., & Yu, Y. (2018). Land surface air temperature data are considerably different among BESTââ¬ÂLAND, CRUââ¬ÂTEM4v, NASAââ¬ÂGISS, and NOAAââ¬ÂNCEI. Journal of Geophysical Research: Atmospheres. |
Herger, N., Angélil, O., Abramowitz, G., Donat, M., Stone, D., & Lehmann, K. (2018). Calibrating climate model ensembles for assessing extremes in a changing climate. Journal of Geophysical Research: Atmospheres, 123(11), 5988-6004. |
Millán, H., & Ghanbarian, B. (2017). Fractal Capillary Pressure Curve Models. In Fractals (pp. 41-66). CRC Press. |
Amador Astúa, J. A., León, H., Hugo, G., Alfaro Martínez, E. J., Durán Quesada, A. M., & Calderón Solera, B. (2016). Central America and the Caribbean. |
und Ernährungswissenschaften, A., & Thienelt, H. T. S. Net Ecosystem Exchange of CO2 and Energy Fluxes of Turf in the Denver Urban Ecosystem and an adjacent Tallgrass Prairie. |
Ussiri, D. A., & Lal, R. (2017). Variability and Change in Climate. In Carbon Sequestration for Climate Change Mitigation and Adaptation (pp. 27-60). Springer, Cham. |
Galkowski, J., & Studios, W. S. (2014). Warming Slowdown?. |
Fredriksen, H. B. (2017). Origins and impacts of spatial and temporal long-range dependence in the climate system. |
Di Cosmo, N., Oppenheimer, C., & Büntgen, U. (2017). Interplay of environmental and socio-political factors in the downfall of the Eastern Türk Empire in 630 CE. Climatic Change, 145(3-4), 383-395. |
Farmer, J. R. (2016). Quaternary Carbon Cycling in the Atlantic Ocean: Insights from Boron and Radiocarbon Proxies(Doctoral dissertation, Columbia University). |
Matthews, J. B., & Matthews, J. R. Ocean Surface Warming Part In situ measurement of the tropical Pacific top metre evaporation heat trap supports alpha/beta ocean global warming through asymmetric poleward heat transport and basal icemelt. |
Bindoff, N., AchutaRao, K. M., & Chang, P. (2011). Detection and Attribution of Climate Change: from Global to Regional 2. Notes, 19. |
Thorne, P. W., Diamond, H. J., Goodison, B., Harrigan, S., Hausfather, Z., Ingleby, N. B., ... & Oakley, T. (2018). Towards a global land surface climate fiducial reference measurements network. International Journal of Climatology. |
Adams, B. K., & Dessler, A. E. (2018). Estimating Transient Climate Response in a largeââ¬Âensemble global climate model simulation. Geophysical Research Letters. |
Barrand, N. E., Way, R. G., Bell, T., & Sharp, M. J. (2017). Recent changes in area and thickness of Torngat Mountain glaciers (northern Labrador, Canada). The Cryosphere, 11(1), 157-168. |
Menne, M. J., Williams, C. N., Gleason, B. E., Rennie, J. J., & Lawrimore, J. H. (2018). The Global Historical Climatology Network Monthly Temperature Dataset, Version 4. Journal of Climate, 31(24), 9835-9854. |
Graham, T. L. (2018). A Global-Scale Evaluation of Mammalian Exposure and Vulnerability to Anthropogenic Climate Change (Doctoral dissertation, Concordia University). |
Galkowski, J., & Studios, WS (2014). Heat, Ocean, and Atmosphere. |
Koppe, A., Guindani, EN, & Mancio, M. (2016). Evaluation of the residual potential of Basaltic rocks as raw material for the production of alternative cements: alkali-activation process. Journal of Architecture IMED |
eña-Angulo, D., Hidalgo, J. C. G., Brunetti, M., & Cortesi, N. (2014). Variabilidad espacial de las tendencias de temperaturas diurnas y nocturnas entre abril y septiembre en España (1981-2010). In Geoecología, cambio ambiental y paisaje: homenaje al profesor José María García Ruiz (pp. 207-216). Instituto Pirenaico de Ecología. |
Aydñn, O., Türkoßlu, N., & Çiçek, ð. (2015). The importance of geostatistics in pyschical geography Fiziki coßrafyada jeoistatistißin önemi. Journal of Human Sciences, 12(2), 1397-1415. |
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