Felix Kogan

10.6k total citations · 5 hit papers
102 papers, 7.6k citations indexed

About

Felix Kogan is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Felix Kogan has authored 102 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Global and Planetary Change, 54 papers in Ecology and 18 papers in Atmospheric Science. Recurrent topics in Felix Kogan's work include Remote Sensing in Agriculture (53 papers), Climate variability and models (32 papers) and Plant Water Relations and Carbon Dynamics (29 papers). Felix Kogan is often cited by papers focused on Remote Sensing in Agriculture (53 papers), Climate variability and models (32 papers) and Plant Water Relations and Carbon Dynamics (29 papers). Felix Kogan collaborates with scholars based in United States, China and India. Felix Kogan's co-authors include R. P. Singh, Wei Guo, Leonard Unganai, Chandrashekhar Bhuiyan, L. Roytman, Sudipa Saha Roy, James A. Sullivan, Wenze Yang, Wei Guo and Anatoly A. Gitelson and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Geophysical Research Letters.

In The Last Decade

Felix Kogan

100 papers receiving 7.1k citations

Hit Papers

Application of vegetation index and brightness temperatur... 1990 2026 2002 2014 1995 1997 1990 1995 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felix Kogan United States 39 5.7k 3.4k 1.3k 1.3k 1.1k 102 7.6k
Brian Wardlow United States 42 5.6k 1.0× 4.5k 1.3× 888 0.7× 2.2k 1.7× 1.9k 1.6× 109 8.8k
Mutlu Özdoğan United States 39 2.6k 0.5× 2.5k 0.7× 503 0.4× 1.2k 0.9× 939 0.8× 66 4.9k
Murali Krishna Gumma India 36 2.4k 0.4× 2.8k 0.8× 556 0.4× 1.1k 0.9× 949 0.8× 98 4.8k
William Salas United States 28 3.0k 0.5× 3.1k 0.9× 452 0.3× 1.8k 1.4× 1.2k 1.0× 50 6.4k
Jianxi Huang China 41 2.6k 0.5× 3.6k 1.1× 800 0.6× 1.5k 1.2× 1.2k 1.0× 181 6.1k
Jesslyn F. Brown United States 31 4.9k 0.8× 3.8k 1.1× 458 0.4× 1.9k 1.5× 2.1k 1.8× 110 8.0k
Prasad S. Thenkabail United States 47 3.8k 0.7× 6.1k 1.8× 572 0.4× 2.3k 1.8× 1.6k 1.4× 125 8.6k
Grégory Duveiller Italy 36 3.3k 0.6× 2.8k 0.8× 484 0.4× 1.7k 1.3× 1.2k 1.1× 97 5.9k
Yongshuo H. Fu China 55 6.8k 1.2× 5.9k 1.7× 1.2k 1.0× 1.3k 1.1× 2.3k 2.0× 171 10.6k
Kenneth G. Hubbard United States 43 3.8k 0.7× 941 0.3× 1.1k 0.8× 1.3k 1.0× 1.6k 1.4× 134 6.3k

Countries citing papers authored by Felix Kogan

Since Specialization
Citations

This map shows the geographic impact of Felix Kogan'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 Felix Kogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Kogan more than expected).

Fields of papers citing papers by Felix Kogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felix Kogan. 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 Felix Kogan. The network helps show where Felix Kogan may publish in the future.

Co-authorship network of co-authors of Felix Kogan

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Kogan. A scholar is included among the top collaborators of Felix Kogan 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 Felix Kogan. Felix Kogan 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
1.
Devineni, Naresh, et al.. (2018). Understanding the Changes in Global Crop Yields Through Changes in Climate and Technology. Earth s Future. 6(3). 410–427. 91 indexed citations
2.
Kogan, Felix, et al.. (2018). EARLY FORECASTING CORN YIELD USING GROUND TRUTH DATA AND VEGETATION HEALTH INDICES IN BULGARIA. Bulgarian Journal of Agricultural Science. 2 indexed citations
3.
Devineni, Naresh, et al.. (2016). Global Crop Yields, Climatic Trends and Technology Enhancement. AGU Fall Meeting Abstracts. 2016. 2 indexed citations
4.
Li, Jing, Ke Fan, Jianjun Xu, Alfred M. Powell, & Felix Kogan. (2016). The effect of preceding wintertime Arctic polar vortex on springtime NDVI patterns in boreal Eurasia, 1982–2015. Climate Dynamics. 49(1-2). 23–35. 17 indexed citations
5.
Roytman, L., et al.. (2015). Using NOAA/AVHRR based remote sensing data and PCR method for estimation of Aus rice yield in Bangladesh. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9488. 94880O–94880O. 3 indexed citations
6.
Kogan, Felix. (2012). Global drought watch from space at work: Crop losses and food security. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
7.
Tian, Yuhong, Cheng‐Zhi Zou, Kenneth E. Mitchell, et al.. (2008). Improvements of numerical weather predictions using a new AVHRR green vegetation fraction dataset. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7085. 70850N–70850N. 2 indexed citations
8.
Kogan, Felix, Shahid Habib, V. S. Hegde, & M. Matsuoka. (2006). Disaster Forewarning Diagnostic Methods and Management. 6412. 3 indexed citations
9.
Guo, Wei, Dan Tarpley, Xiaocui Wu, et al.. (2006). Effect of post-launch calibration of VIS channels on NDVI. cosp. 36. 1822. 1 indexed citations
10.
Seiler, Roberto, et al.. (2006). Seasonal and interannual responses of the vegetation and production of crops in Cordoba – Argentina assessed by AVHRR derived vegetation indices. Advances in Space Research. 39(1). 88–94. 19 indexed citations
11.
Kogan, Felix. (2006). Early drought detection, monitoring, and assessment of crop losses from space: global approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6412. 641209–641209. 4 indexed citations
12.
Kogan, Felix, et al.. (2005). Modelling corn production in China using AVHRR‐based vegetation health indices. International Journal of Remote Sensing. 26(11). 2325–2336. 57 indexed citations
13.
Kogan, Felix, et al.. (2004). Derivation of pasture biomass in Mongolia from AVHRR-based vegetation health indices. International Journal of Remote Sensing. 25(14). 2889–2896. 112 indexed citations
15.
Kogan, Felix, et al.. (2002). Monitoring Brazilian soybean production using NOAA/AVHRR based vegetation condition indices. International Journal of Remote Sensing. 23(6). 1161–1179. 90 indexed citations
16.
Kogan, Felix. (2001). Operational Space Technology for Global Vegetation Assessment. Bulletin of the American Meteorological Society. 82(9). 1949–1964. 286 indexed citations
17.
Unganai, L. S. & Felix Kogan. (1998). Southern Africa's recent droughts from space. Advances in Space Research. 21(3). 507–511. 33 indexed citations
18.
Kogan, Felix, et al.. (1996). Monitoring regional drought using the Vegetation Condition Index. International Journal of Remote Sensing. 17(14). 2761–2782. 313 indexed citations
19.
Kogan, Felix, et al.. (1996). Testing post-launch calibration for the AVHRR sensor on world desert targets during 1985–1993. Advances in Space Research. 17(1). 47–50. 5 indexed citations
20.
Kogan, Felix. (1995). How drought looks from space. Geocarto International. 10(1). 51–56. 7 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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