Medha Devare

1.1k citations
26 papers · 727 · h-index 14

Impact in

    • Genetically Modified Organisms Research
    • Smart Agriculture and AI
  • Soil Science top 10%
    • Soil Carbon and Nitrogen Dynamics

Papers in

Medha Devare

23 papers receiving 677 citations

Peers

Medha Devare
Comparison fields: 5 of 89
  • Plant Science 365
  • Soil Science 91
  • Pollution 78
  • Insect Science 71
  • Industrial and Manufacturing Engineering 50
Replace L. S. Severino with:
L. S. Severino Brazil
N. E. de M. Beltrão Brazil
Enrique Rico-García Mexico
Xiaoli Fan United States
Xin Qian China
Maman Turjaman Indonesia
Alok Kumar Pandey India
Tahmish Fatima India
Chikako van Koten New Zealand
Medha Devare relative to L. S. Severino Brazil L. S. Severino's profile →
Citations per field
00.5×2×3×3.7×
L. S. Severino · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Medha Devare, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Medha Devare Line = papers co-authored together Medha Devare links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022112
2 200488
3 199469
4 200867
5 202362
6 200759
7 200743
8 200838
9 201034
10 201027
11 201023
12 199518
13 200718
14 202316
15 200913
16 20228
17
Data-driven Agricultural Research for Development: A Need for Data Harmonization Via Semantics.
20167
18 20126
19 20216
20 20215

About Medha Devare

Medha Devare is a scholar working on Molecular Biology, Plant Science, Pollution, Information Systems and Information Systems and Management, having authored 26 papers that have together received 727 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (8 papers), Genetically Modified Organisms Research (6 papers), Pesticide and Herbicide Environmental Studies (4 papers), Research Data Management Practices (4 papers), CRISPR and Genetic Engineering (4 papers), Entomopathogenic Microorganisms in Pest Control (3 papers), Semantic Web and Ontologies (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Plant Science (365 citations), Soil Science (91 citations), Pollution (78 citations), Insect Science (71 citations) and Industrial and Manufacturing Engineering (50 citations). Medha Devare has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Janice E. Thies, M. Bahadir, B. R. King, Asaf Tzachor, Christopher M. Jones, Shahar Avin, Seán Ó hÉigeartaigh, Yingxu Chen, Weixiang Wu and Haohao Lu. Their work appears in journals such as Journal of Soils and Sediments, Soil Biology and Biochemistry, Journal of Environmental Quality, Soil Science Society of America Journal and Applied Soil Ecology.

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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