Meha Jain

5.8k total citations · 1 hit paper
69 papers, 3.3k citations indexed

About

Meha Jain is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Meha Jain has authored 69 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 27 papers in Ecology, Evolution, Behavior and Systematics and 23 papers in Ecology. Recurrent topics in Meha Jain's work include Climate change impacts on agriculture (25 papers), Remote Sensing in Agriculture (19 papers) and Land Use and Ecosystem Services (12 papers). Meha Jain is often cited by papers focused on Climate change impacts on agriculture (25 papers), Remote Sensing in Agriculture (19 papers) and Land Use and Ecosystem Services (12 papers). Meha Jain collaborates with scholars based in United States, India and Germany. Meha Jain's co-authors include Shahid Naeem, Ruth DeFries, Dan F. B. Flynn, Matthew I. Palmer, Nicholas Mirotchnick, David B. Lobell, Balwinder Singh, George Azzari, Pinki Mondal and Gillian L. Galford and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Meha Jain

66 papers receiving 3.2k citations

Hit Papers

Functional and phylogenetic diversity as predictors of bi... 2011 2026 2016 2021 2011 200 400 600

Peers

Meha Jain
Evan Girvetz United States
David Hole United States
Lisa A. Schulte United States
Michael Dunlop Australia
Kathleen Neumann Netherlands
Katharina Waha Australia
Evan Girvetz United States
Meha Jain
Citations per year, relative to Meha Jain Meha Jain (= 1×) peers Evan Girvetz

Countries citing papers authored by Meha Jain

Since Specialization
Citations

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

Fields of papers citing papers by Meha Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meha Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Meha Jain. A scholar is included among the top collaborators of Meha Jain 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 Meha Jain. Meha Jain 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.
Balhara, Yatan Pal Singh, Biswa Ranjan Mishra, Shamshad Ahmad, et al.. (2024). Factor structure, reliability and validity of an Indian Scale for Assessment of Nomophobia (ISAN) among college students: A multicentre Indian study. Journal of Psychiatric Research. 181. 599–606.
2.
Sida, Tesfaye Shiferaw, et al.. (2024). Mapping Field-Level Maize Yields in Ethiopian Smallholder Systems Using Sentinel-2 Imagery. Remote Sensing. 16(18). 3451–3451.
3.
Solomon, Divya, Preeti Rao, S. V. Singh, et al.. (2024). Groundwater irrigation is critical for adapting wheat systems to warming temperatures in the Eastern Indo-Gangetic Plains in India. SHILAP Revista de lepidopterología. 1(2). 21002–21002. 1 indexed citations
4.
Jain, Meha, et al.. (2024). Financial incentive programs and farm diversification with cover crops: assessing opportunities and challenges. Environmental Research Letters. 19(4). 44063–44063. 4 indexed citations
5.
Poonia, Shishpal, et al.. (2023). Using microsatellite data to estimate the persistence of field-level yield gaps and their drivers in smallholder systems. Scientific Reports. 13(1). 11170–11170. 3 indexed citations
6.
Bhattarai, Nishan, David B. Lobell, Balwinder Singh, et al.. (2023). Warming temperatures exacerbate groundwater depletion rates in India. Science Advances. 9(35). eadi1401–eadi1401. 36 indexed citations
7.
Wang, Haoyu, David F. Fouhey, Weiqi Zhou, et al.. (2022). Using Deep Learning and Very-High-Resolution Imagery to Map Smallholder Field Boundaries. Remote Sensing. 14(13). 3046–3046. 20 indexed citations
8.
Morrison, Tiffany H., W. Neil Adger, Arun Agrawal, et al.. (2022). Radical interventions for climate-impacted systems. Nature Climate Change. 12(12). 1100–1106. 63 indexed citations
9.
Sullivan, Jonathan A., Daniel G. Brown, Francis Moyo, Meha Jain, & Arun Agrawal. (2022). Impacts of large-scale land acquisitions on smallholder agriculture and livelihoods in Tanzania. Environmental Research Letters. 17(8). 84019–84019. 15 indexed citations
10.
Jain, Meha, Ram Fishman, Pinki Mondal, et al.. (2021). Groundwater depletion will reduce cropping intensity in India. Science Advances. 7(9). 130 indexed citations
11.
Zhou, Weiqi, Preeti Rao, M.L. Jat, et al.. (2021). Using Sentinel-2 to Track Field-Level Tillage Practices at Regional Scales in Smallholder Systems. Remote Sensing. 13(24). 5108–5108. 9 indexed citations
12.
Bhattarai, Nishan, et al.. (2021). The impact of groundwater depletion on agricultural production in India. Environmental Research Letters. 16(8). 85003–85003. 63 indexed citations
13.
Rao, Preeti, Weiqi Zhou, Nishan Bhattarai, et al.. (2021). Using Sentinel-1, Sentinel-2, and Planet Imagery to Map Crop Type of Smallholder Farms. Remote Sensing. 13(10). 1870–1870. 55 indexed citations
14.
Liu, Tianjia, Loretta J. Mickley, Sukhwinder Singh, et al.. (2020). Crop residue burning practices across north India inferred from household survey data: Bridging gaps in satellite observations. Atmospheric Environment X. 8. 100091–100091. 36 indexed citations
15.
Jain, Meha, et al.. (2020). How much can sustainable intensification increase yields across South Asia? a systematic review of the evidence. Environmental Research Letters. 15(8). 83004–83004. 21 indexed citations
16.
Ricciardi, Vincent, Abdrahmane Wane, Balsher Singh Sidhu, et al.. (2020). A scoping review of research funding for small-scale farmers in water scarce regions. Nature Sustainability. 3(10). 836–844. 35 indexed citations
17.
Elmes, Arthur, Hamed Alemohammad, K. K. Caylor, et al.. (2020). Accounting for Training Data Error in Machine Learning Applied to Earth Observations. Remote Sensing. 12(6). 1034–1034. 70 indexed citations
18.
Bhattarai, Nishan, Kaniska Mallick, & Meha Jain. (2019). SENSITIVITY OF FOUR CONTEXTUAL REMOTE SENSING BASED SURFACE ENERGY BALANCE MODELS TO SPATIAL DOMAIN. SHILAP Revista de lepidopterología. XLII-3/W6. 3–7. 3 indexed citations
19.
Liu, Tianjia, Miriam E. Marlier, Alexandra Karambelas, et al.. (2019). Missing emissions from post-monsoon agricultural fires in northwestern India: regional limitations of MODIS burned area and active fire products. Environmental Research Communications. 1(1). 11007–11007. 59 indexed citations
20.
Bhattarai, Nishan, Kaniska Mallick, N. A. Brunsell, Ge Sun, & Meha Jain. (2018). Regional evapotranspiration from an image-based implementation of the Surface Temperature Initiated Closure (STIC1.2) model and its validation across an aridity gradient in the conterminous US. Hydrology and earth system sciences. 22(4). 2311–2341. 48 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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