Mike Hobbins

4.3k total citations · 2 hit papers
45 papers, 3.0k citations indexed

About

Mike Hobbins is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Mike Hobbins has authored 45 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 11 papers in Water Science and Technology. Recurrent topics in Mike Hobbins's work include Climate variability and models (28 papers), Plant Water Relations and Carbon Dynamics (26 papers) and Hydrology and Drought Analysis (22 papers). Mike Hobbins is often cited by papers focused on Climate variability and models (28 papers), Plant Water Relations and Carbon Dynamics (26 papers) and Hydrology and Drought Analysis (22 papers). Mike Hobbins collaborates with scholars based in United States, Australia and Netherlands. Mike Hobbins's co-authors include Michael L. Roderick, Graham D. Farquhar, Thomas C. Brown, Leon Rotstayn, Jorge A. Ramírez, Jorge A. Ramı́rez, Andrew W. Wood, Daniel J. McEvoy, Justin Huntington and Martha C. Anderson and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Mike Hobbins

44 papers receiving 2.9k citations

Hit Papers

On the attribution of cha... 2007 2026 2013 2019 2007 2024 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mike Hobbins United States 27 2.6k 1.2k 743 279 176 45 3.0k
Deepak Jhajharia India 21 2.3k 0.9× 976 0.8× 722 1.0× 494 1.8× 159 0.9× 41 2.8k
Sandra Gomes Portugal 3 1.6k 0.6× 980 0.8× 868 1.2× 235 0.8× 133 0.8× 3 2.2k
Wanqiu Xing China 28 1.6k 0.6× 1.3k 1.1× 516 0.7× 308 1.1× 121 0.7× 52 2.1k
Gopi Goteti United States 6 1.9k 0.7× 1.2k 1.0× 876 1.2× 506 1.8× 161 0.9× 11 2.5k
Daniel G. Kingston New Zealand 25 1.8k 0.7× 1.3k 1.1× 637 0.9× 235 0.8× 170 1.0× 55 2.2k
Axel Thomas Germany 14 1.7k 0.6× 759 0.6× 750 1.0× 242 0.9× 156 0.9× 22 2.2k
Mingzhong Xiao China 29 2.0k 0.8× 939 0.8× 737 1.0× 327 1.2× 183 1.0× 64 2.3k
Fei Yuan China 31 2.3k 0.9× 1.5k 1.3× 1.3k 1.7× 543 1.9× 118 0.7× 81 3.0k
Shanlei Sun China 27 1.7k 0.6× 688 0.6× 696 0.9× 293 1.1× 229 1.3× 95 2.1k

Countries citing papers authored by Mike Hobbins

Since Specialization
Citations

This map shows the geographic impact of Mike Hobbins's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mike Hobbins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Hobbins more than expected).

Fields of papers citing papers by Mike Hobbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike Hobbins. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mike Hobbins. The network helps show where Mike Hobbins may publish in the future.

Co-authorship network of co-authors of Mike Hobbins

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Hobbins. A scholar is included among the top collaborators of Mike Hobbins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mike Hobbins. Mike Hobbins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Hughes, Mimi, Darren L. Jackson, D. M. Unruh, et al.. (2024). Evaluation of Retrospective National Water Model Soil Moisture and Streamflow for Drought‐Monitoring Applications. Journal of Geophysical Research Atmospheres. 129(6). 10 indexed citations
3.
Christian, Jordan I., Mike Hobbins, Andrew Hoell, et al.. (2024). Flash drought: A state of the science review. Wiley Interdisciplinary Reviews Water. 11(3). 55 indexed citations breakdown →
4.
Hobbins, Mike, Alex C. Ruane, Roger S. Pulwarty, et al.. (2024). Enhancing Global Food Security: Opportunities for the American Meteorological Society. Bulletin of the American Meteorological Society. 105(4). E760–E777. 8 indexed citations
5.
Hobbins, Mike, D. P. Sarmiento, Amy McNally, et al.. (2023). A global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring. Scientific Data. 10(1). 746–746. 11 indexed citations
6.
McEvoy, Daniel J., et al.. (2022). Validation and Bias Correction of Forecast Reference Evapotranspiration for Agricultural Applications in Nevada. Journal of Water Resources Planning and Management. 148(11). 2 indexed citations
7.
Gwon, Yeongjin, et al.. (2022). Drought and all-cause mortality in Nebraska from 1980 to 2014: Time-series analyses by age, sex, race, urbanicity and drought severity. The Science of The Total Environment. 840. 156660–156660. 17 indexed citations
8.
Otkin, Jason A., Molly Woloszyn, Hailan Wang, et al.. (2022). Getting ahead of Flash Drought: From Early Warning to Early Action. Bulletin of the American Meteorological Society. 103(10). E2188–E2202. 50 indexed citations
9.
Kew, Sarah, Sjoukje Philip, Mathias Hauser, et al.. (2021). Impact of precipitation and increasing temperatures on drought trends in eastern Africa. Earth System Dynamics. 12(1). 17–35. 50 indexed citations
10.
Hobbins, Mike, L. Harrison, G. J. Husak, et al.. (2019). Drought in Africa: Understanding and Exploiting the Demand Perspective Using a New Evaporative Demand Reanalysis. 5 indexed citations
11.
Zhang, Baoqing, Youlong Xia, Biao Long, et al.. (2019). Evaluation and comparison of multiple evapotranspiration data models over the contiguous United States: Implications for the next phase of NLDAS (NLDAS-Testbed) development. Agricultural and Forest Meteorology. 280. 107810–107810. 58 indexed citations
12.
Husak, G. J., Shraddhanand Shukla, Christopher Funk, & Mike Hobbins. (2018). Investigating the Inputs to SPEI and Their Importance in Identifying Agroclimatic Hazards. AGUFM. 2018. 1 indexed citations
13.
Rangwala, Imtiaz, et al.. (2017). Drought risk assessment under climate change is sensitive to methodological choices for the estimation of evaporative demand. PLoS ONE. 12(3). e0174045–e0174045. 58 indexed citations
14.
Hobbins, Mike, et al.. (2016). Using FRET for Drought Mitigation. AGU Fall Meeting Abstracts. 2016. 2 indexed citations
15.
Hobbins, Mike, Sandeep Kumar Shukla, G. J. Husak, et al.. (2016). What role does evaporative demand play in driving drought in Africa. AGUFM. 2016. 1 indexed citations
16.
Xia, Youlong, Mike Hobbins, Qiaozhen Mu, & Michael Ek. (2014). Evaluation of NLDAS‐2 evapotranspiration against tower flux site observations. Hydrological Processes. 29(7). 1757–1771. 55 indexed citations
17.
Melton, Forrest, et al.. (2013). National Weather Service Forecast Reference Evapotranspiration. AGUFM. 2013. 1 indexed citations
18.
Hobbins, Mike, et al.. (2013). NOAA Introduces its First-Generation Reference Evapotranspiration Product. AGUFM. 2013. 2 indexed citations
19.
Hobbins, Mike, et al.. (2012). What Drives the Variability of Evaporative Demand across the Conterminous United States?. Journal of Hydrometeorology. 13(4). 1195–1214. 62 indexed citations
20.
Hobbins, Mike, et al.. (2004). Developing a long-term, high-resolution, continental-scale, spatially distributed time-series of topographically corrected solar radiation. Digital Collections of Colorado (Colorado State University). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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