Abhijin Adiga
- Insect Science top 2%
- Plant Science
- Molecular Biology
- Statistical and Nonlinear Physics top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Nicolas DesneuxMateus Ribeiro de CamposAntonio BiondiR. N. C. GuedesAnil VullikantiSudip SahaB. Aditya PrakashMadhav Marathe
- Topics
- Complex Network Analysis Techniques (14 papers)Advanced Graph Theory Research (10 papers)Opinion Dynamics and Social Influence (10 papers)
- Journals
- Proceedings of the Royal Society B Biological SciencesIEEE AccessIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Abhijin Adiga
52 papers receiving 610 citations
Peers
Comparison fields: 5 of 104
- Insect Science 243
- Plant Science 156
- Molecular Biology 130
- Statistical and Nonlinear Physics 125
- Ecology, Evolution, Behavior and Systematics 69
Countries citing papers authored by Abhijin Adiga
This map shows the geographic impact of Abhijin Adiga'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 Abhijin Adiga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhijin Adiga more than expected).
Fields of papers citing papers by Abhijin Adiga
This network shows the impact of papers produced by Abhijin Adiga. 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 Abhijin Adiga. The network helps show where Abhijin Adiga may publish in the future.
Co-authorship network of co-authors of Abhijin Adiga
This figure shows the co-authorship network connecting the top 25 collaborators of Abhijin Adiga. A scholar is included among the top collaborators of Abhijin Adiga 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 Abhijin Adiga. Abhijin Adiga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 32 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 20 | |
| 14 | PAC Learnability of Node Functions in Networked Dynamical Systems | 1 |
| 15 | 12 | |
| 16 | 35 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 34 | |
| 20 | Problem based learning - An approach to learning pharmacology in medical school | 7 |
About Abhijin Adiga
Abhijin Adiga is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Computer Graphics and Computer-Aided Design, having authored 57 papers that have together received 627 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (14 papers), Advanced Graph Theory Research (10 papers) and Opinion Dynamics and Social Influence (10 papers). The work is most often cited by research in Insect Science (243 citations), Modeling and Simulation (64 citations) and Statistical and Nonlinear Physics (125 citations). Abhijin Adiga has collaborated with scholars based in United States, India and France. Frequent co-authors include Nicolas Desneux, Mateus Ribeiro de Campos, Antonio Biondi, R. N. C. Guedes, Anil Vullikanti, Sudip Saha, B. Aditya Prakash, Madhav Marathe, Henning Mortveit and Chris J. Kuhlman. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.
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.