Medha Devare

1.1k total citations
25 papers, 608 citations indexed

About

Medha Devare is a scholar working on Molecular Biology, Plant Science and Pollution. According to data from OpenAlex, Medha Devare has authored 25 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Plant Science and 5 papers in Pollution. Recurrent topics in Medha Devare's work include Insect Resistance and Genetics (8 papers), Genetically Modified Organisms Research (6 papers) and Pesticide and Herbicide Environmental Studies (4 papers). Medha Devare is often cited by papers focused on Insect Resistance and Genetics (8 papers), Genetically Modified Organisms Research (6 papers) and Pesticide and Herbicide Environmental Studies (4 papers). Medha Devare collaborates with scholars based in United States, China and United Kingdom. Medha Devare's co-authors include Janice E. Thies, M. Bahadir, Christopher M. Jones, B. R. King, Asaf Tzachor, Shahar Avin, Seán Ó hÉigeartaigh, Yingxu Chen, Weixiang Wu and Hao Lu and has published in prestigious journals such as Applied and Environmental Microbiology, Chemosphere and Soil Biology and Biochemistry.

In The Last Decade

Medha Devare

22 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Medha Devare United States 13 318 217 86 72 66 25 608
Xin Qian China 17 329 1.0× 139 0.6× 63 0.7× 69 1.0× 36 0.5× 57 705
Caixia Liu China 16 193 0.6× 116 0.5× 112 1.3× 55 0.8× 10 0.2× 55 633
C. Kempenaar Netherlands 20 920 2.9× 80 0.4× 123 1.4× 162 2.3× 88 1.3× 98 1.3k
Alok Kumar Pandey India 16 217 0.7× 49 0.2× 151 1.8× 142 2.0× 13 0.2× 77 646
William F. Lazarus United States 16 133 0.4× 74 0.3× 63 0.7× 30 0.4× 30 0.5× 57 718
Hazandy Abdul Hamid Malaysia 15 272 0.9× 75 0.3× 103 1.2× 23 0.3× 23 0.3× 93 793
Ian M. Small United States 21 738 2.3× 230 1.1× 77 0.9× 20 0.3× 47 0.7× 74 1.1k
Md. Sazzad Hossain Bangladesh 13 662 2.1× 217 1.0× 51 0.6× 35 0.5× 10 0.2× 60 1.1k
Liyue Guo China 14 368 1.2× 46 0.2× 343 4.0× 63 0.9× 31 0.5× 22 823
Muhammad Uzair Pakistan 17 690 2.2× 225 1.0× 67 0.8× 45 0.6× 11 0.2× 70 915

Countries citing papers authored by Medha Devare

Since Specialization
Citations

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

Fields of papers citing papers by Medha Devare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Medha Devare

This figure shows the co-authorship network connecting the top 25 collaborators of Medha Devare. A scholar is included among the top collaborators of Medha Devare 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 Medha Devare. Medha Devare 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.
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
2.
Tzachor, Asaf, Medha Devare, Catherine E. Richards, et al.. (2023). Large language models and agricultural extension services. Nature Food. 4(11). 941–948. 50 indexed citations
3.
Tzachor, Asaf, Medha Devare, B. R. King, Shahar Avin, & Seán Ó hÉigeartaigh. (2022). Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities. Nature Machine Intelligence. 4(2). 104–109. 88 indexed citations
4.
King, Brian, Medha Devare, Davíd Güereña, et al.. (2021). Toward a Digital One CGIAR: Strategic Research on Digital Transformation in Food, Land, and Water Systems in a Climate Crisis.. IFPRI E-brary (International Food Policy Research Institute). 4 indexed citations
5.
Devare, Medha, Elizabeth Arnaud, Kate Dreher, et al.. (2017). Open Access and Open Data at CGIAR: Challenges and Solutions. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 13(2). 7–21.
6.
Arnaud, Elizabeth, et al.. (2016). The Crop Ontology: A Source of Standard Traits and Variables for Breeding and Agronomy. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 1 indexed citations
7.
Devare, Medha, et al.. (2016). Data-driven Agricultural Research for Development: A Need for Data Harmonization Via Semantics.. 4 indexed citations
8.
Ball, Cheryl E., Medha Devare, Tee L. Guidotti, et al.. (2016). The Moral Dimensions of Open. 1.
9.
Devare, Medha. (2016). CG Core Metadata Schema and Application Profile - Beta Version 1.0. MELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas)).
10.
Xue, Kai, et al.. (2012). Short-term carbon allocation and root lignin of Cry3Bb Bt and NonBt corn in the presence of corn rootworm. Applied Soil Ecology. 57. 16–22. 6 indexed citations
11.
Lu, Haohao, Weixiang Wu, Yingxu Chen, et al.. (2010). Decomposition of Bt transgenic rice residues and response of soil microbial community in rapeseed–rice cropping system. Plant and Soil. 336(1-2). 279–290. 34 indexed citations
12.
Wu, Weixiang, Haohao Lu, Wei Liu, et al.. (2009). Decomposition of Bacillus thuringiensis (Bt) transgenic rice residues (straw and roots) in paddy fields. Journal of Soils and Sediments. 9(5). 457–467. 12 indexed citations
13.
14.
Wang, Yunlong, Weixiang Wu, Ying Ding, et al.. (2008). Methane oxidation activity and bacterial community composition in a simulated landfill cover soil is influenced by the growth of Chenopodium album L.. Soil Biology and Biochemistry. 40(9). 2452–2459. 37 indexed citations
15.
Devare, Medha, et al.. (2007). Neither transgenic Bt maize (MON863) nor tefluthrin insecticide adversely affect soil microbial activity or biomass: A 3-year field analysis. Soil Biology and Biochemistry. 39(8). 2038–2047. 52 indexed citations
16.
Thies, Janice E. & Medha Devare. (2007). An ecological assessment of transgenic crops. The Journal of Development Studies. 43(1). 97–129. 17 indexed citations
17.
Devare, Medha, et al.. (2007). VIVO. D-Lib Magazine. 13(7/8). 12 indexed citations
18.
Devare, Medha, et al.. (2006). VIVO: Case Study of an Ontolgy-Based Web Site.. National Conference on Artificial Intelligence. 106–107. 2 indexed citations
19.
Devare, Medha & Martin Alexander. (1995). Bacterial Transport and Phenanthrene Biodegradation in Soil and Aquifer Sand. Soil Science Society of America Journal. 59(5). 1316–1320. 16 indexed citations
20.
Devare, Medha & M. Bahadir. (1994). Biological monitoring of landfill leachate using plants and luminescent bacteria. Chemosphere. 28(2). 261–271. 63 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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