Ajit Govind

1.7k total citations
63 papers, 1.2k citations indexed

About

Ajit Govind is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Ajit Govind has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 19 papers in Ecology and 16 papers in Environmental Engineering. Recurrent topics in Ajit Govind's work include Plant Water Relations and Carbon Dynamics (16 papers), Remote Sensing in Agriculture (12 papers) and Climate change impacts on agriculture (12 papers). Ajit Govind is often cited by papers focused on Plant Water Relations and Carbon Dynamics (16 papers), Remote Sensing in Agriculture (12 papers) and Climate change impacts on agriculture (12 papers). Ajit Govind collaborates with scholars based in Syria, India and Canada. Ajit Govind's co-authors include Oliver Sonnentag, Yongqin Zhang, Jing M. Chen, B. D. Amiro, Alan Barr, Jing Ming Chen, Jean‐Pierre Wigneron, Weimin Ju, Satiprasad Sahoo and J.M. Chen and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Ajit Govind

56 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajit Govind Syria 17 592 481 453 314 225 63 1.2k
Minseok Kang South Korea 21 1.1k 1.8× 670 1.4× 311 0.7× 268 0.9× 263 1.2× 79 1.4k
Tarek S. El‐Madany Germany 21 901 1.5× 418 0.9× 245 0.5× 263 0.8× 224 1.0× 57 1.1k
Marius Schmidt Germany 18 951 1.6× 280 0.6× 369 0.8× 343 1.1× 227 1.0× 35 1.3k
Bergson G. Bezerra Brazil 21 776 1.3× 421 0.9× 166 0.4× 190 0.6× 207 0.9× 57 1.2k
R. Bryant United States 12 590 1.0× 437 0.9× 311 0.7× 183 0.6× 233 1.0× 17 977
Christine Moureaux Belgium 14 1.3k 2.2× 650 1.4× 342 0.8× 403 1.3× 395 1.8× 22 1.7k
Jean-Marc Bonnefond France 13 1.2k 2.0× 441 0.9× 294 0.6× 263 0.8× 227 1.0× 22 1.5k
W. Dulaney United States 12 610 1.0× 636 1.3× 429 0.9× 156 0.5× 244 1.1× 28 1.1k
A. de Grandcourt France 15 900 1.5× 782 1.6× 313 0.7× 186 0.6× 184 0.8× 20 1.3k

Countries citing papers authored by Ajit Govind

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Govind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajit Govind

This figure shows the co-authorship network connecting the top 25 collaborators of Ajit Govind. A scholar is included among the top collaborators of Ajit Govind 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 Ajit Govind. Ajit Govind 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.
Govind, Ajit, et al.. (2025). Water, agriculture, and climate: a study of Moroccan agricultural water management policy. Water Policy. 27(9). 941–960.
2.
Singha, Chiranjit, Satiprasad Sahoo, & Ajit Govind. (2025). Hybrid framework of physics-inspired optimization and explainable ensemble learning for irrigation classification mapping in Morocco. Environmental Research Communications. 8(1). 15022–15022.
3.
Sahoo, Satiprasad, et al.. (2025). Review of aquifer storage and recovery opportunities and challenges in India. Environmental Earth Sciences. 84(5). 1 indexed citations
4.
5.
Govind, Ajit, et al.. (2025). Environmental and climate variability in Senegal over the last two decades: A remote sensing approach to assessing climate vulnerability in a Sahelian country. Remote Sensing Applications Society and Environment. 38. 101584–101584. 1 indexed citations
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Singha, Chiranjit, Satiprasad Sahoo, & Ajit Govind. (2025). Transforming soil quality index predictions in the Nile River Basin using hybrid stacking machine learning techniques. Advances in Space Research. 75(11). 7987–8026.
8.
Kheir, Ahmed M. S., Ajit Govind, Vinay Nangia, et al.. (2025). Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality. Computers and Electronics in Agriculture. 234. 110317–110317. 7 indexed citations
9.
10.
Sahoo, Satiprasad, Chiranjit Singha, Ajit Govind, & Armin Moghimi. (2024). Review of climate-resilient agriculture for ensuring food security: Sustainability opportunities and challenges of India. Environmental and Sustainability Indicators. 25. 100544–100544. 9 indexed citations
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Govind, Ajit, Egor Prikaziuk, Christiaan van der Tol, et al.. (2024). Assessing Evapotranspiration Models for Regional Implementation in the Mediterranean: A Comparative Analysis of STEPS, TSEB, and SCOPE with Global Datasets. Applied Sciences. 14(17). 7685–7685. 1 indexed citations
14.
Sahoo, Satiprasad, Chiranjit Singha, & Ajit Govind. (2024). Advanced prediction of rice yield gaps under climate uncertainty using machine learning techniques in Eastern India. Journal of Agriculture and Food Research. 18. 101424–101424. 6 indexed citations
15.
Sahoo, Satiprasad, Chiranjit Singha, & Ajit Govind. (2024). Prediction of pulse suitability in rice fallow areas using fuzzy AHP-based machine learning methods in Eastern India. Paddy and Water Environment. 22(3). 341–359. 6 indexed citations
16.
Pathakoti, Mahesh, et al.. (2024). Variability of ENSO teleconnections indices, and its impacts on moroccan agriculture. Journal of Atmospheric and Solar-Terrestrial Physics. 265. 106386–106386. 4 indexed citations
17.
Singha, Chiranjit, Satiprasad Sahoo, Kamal Abdelrahman, et al.. (2024). Prediction of urban surface water quality scenarios using hybrid stacking ensembles machine learning model in Howrah Municipal Corporation, West Bengal. Journal of Environmental Management. 370. 122721–122721. 7 indexed citations
18.
Kheir, Ahmed M. S., Siyabusa Mkuhlani, Abdelrazek Elnashar, et al.. (2023). Integrating APSIM model with machine learning to predict wheat yield spatial distribution. Agronomy Journal. 115(6). 3188–3196. 13 indexed citations
19.
Govind, Ajit. (2013). On the nature of canopy illumination due to differences in elemental orientation and aggregation for radiative transfer. International Journal of Biometeorology. 58(8). 1803–1809. 5 indexed citations
20.
Govind, Ajit, et al.. (2006). Topographically Driven Lateral Water Fluxes and Their Influence on Carbon Assimilation of a Black Spruce Ecosystem.. AGU Fall Meeting Abstracts. 2006. 6 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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