Abhijin Adiga

1.2k total citations
57 papers, 627 citations indexed

About

Abhijin Adiga is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics and Modeling and Simulation. According to data from OpenAlex, Abhijin Adiga has authored 57 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 13 papers in Computational Theory and Mathematics and 10 papers in Modeling and Simulation. Recurrent topics in Abhijin Adiga's work include Complex Network Analysis Techniques (14 papers), Advanced Graph Theory Research (10 papers) and Opinion Dynamics and Social Influence (10 papers). Abhijin Adiga is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Advanced Graph Theory Research (10 papers) and Opinion Dynamics and Social Influence (10 papers). Abhijin Adiga collaborates with scholars based in United States, India and France. Abhijin Adiga's co-authors include Mateus Ribeiro de Campos, Nicolas Desneux, Antonio Biondi, R. N. C. Guedes, Anil Vullikanti, Madhav Marathe, Sudip Saha, Henning Mortveit, B. Aditya Prakash and Chris J. Kuhlman and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Abhijin Adiga

52 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhijin Adiga United States 14 243 156 130 125 69 57 627
Franco Maria Neri Italy 13 151 0.6× 107 0.7× 57 0.4× 102 0.8× 110 1.6× 31 520
Catherine Larédo France 12 24 0.1× 114 0.7× 216 1.7× 28 0.2× 55 0.8× 36 737
Xiaoqin P. Wu China 14 84 0.3× 286 1.8× 100 0.8× 78 0.6× 19 0.3× 48 497
Javier Galeano Spain 14 21 0.1× 108 0.7× 74 0.6× 52 0.4× 158 2.3× 45 540
József Garay Hungary 17 112 0.5× 85 0.5× 47 0.4× 19 0.2× 139 2.0× 79 808
Stefano Demichelis Italy 14 226 0.9× 169 1.1× 31 0.2× 34 0.3× 105 1.5× 36 482
Justin Schonfeld Canada 11 18 0.1× 147 0.9× 135 1.0× 21 0.2× 37 0.5× 41 581
Ben Lambert United Kingdom 15 32 0.1× 55 0.4× 95 0.7× 16 0.1× 42 0.6× 59 719
Thomas R. Kiffe United States 13 83 0.3× 68 0.4× 42 0.3× 22 0.2× 59 0.9× 27 331
Frank T. Ndjomatchoua Cameroon 10 59 0.2× 53 0.3× 36 0.3× 69 0.6× 12 0.2× 29 275

Countries citing papers authored by Abhijin Adiga

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Datta, Rituparna, et al.. (2025). Graph-Based Prediction of Spatio-Temporal Vaccine Hesitancy From Insurance Claims Data. IEEE Access. 13. 50106–50121.
2.
Chen, Jiangzhuo, Parantapa Bhattacharya, Stefan Hoops, et al.. (2024). Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub. Epidemics. 48. 100779–100779. 2 indexed citations
3.
Adiga, Abhijin, et al.. (2024). Practices to prevent non-ventilator hospital-acquired pneumonia: a narrative review. Journal of Hospital Infection. 151. 201–212. 4 indexed citations
4.
Adiga, Abhijin, et al.. (2023). Reconstructing an Epidemic Outbreak Using Steiner Connectivity. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 11613–11620. 2 indexed citations
5.
Chen, Jiangzhuo, et al.. (2023). Identifying Complicated Contagion Scenarios from Cascade Data. 22. 4135–4145. 2 indexed citations
6.
Adiga, Abhijin, et al.. (2023). Resource Sharing through Multi-Round Matchings. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 11681–11690. 2 indexed citations
7.
Adiga, Abhijin, et al.. (2022). Network Models and Simulation Analytics for Multi-scale Dynamics of Biological Invasions. Frontiers in Big Data. 5. 796897–796897. 3 indexed citations
8.
Campos, Mateus Ribeiro de, Philippe Béarez, Edwige Amiens‐Desneux, et al.. (2020). Thermal biology of Tuta absoluta: demographic parameters and facultative diapause. Journal of Pest Science. 94(3). 829–842. 32 indexed citations
9.
Campos, Mateus Ribeiro de, Philippe Béarez, Edwige Amiens‐Desneux, et al.. (2020). Correction to: Thermal biology of Tuta absoluta: demographic parameters and facultative diapause. Journal of Pest Science. 94(3). 843–844. 3 indexed citations
10.
Hu, Zhihao, Yihui Ren, Xinwei Deng, et al.. (2020). Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework. Social Network Analysis and Mining. 10(1). 13 indexed citations
11.
Mortveit, Henning, Madhav Marathe, Mateus Ribeiro de Campos, et al.. (2019). Assessing the multi-pathway threat from an invasive agricultural pest: Tuta absoluta in Asia. Proceedings of the Royal Society B Biological Sciences. 286(1913). 20191159–20191159. 20 indexed citations
12.
Shrestha, Bharat Babu, et al.. (2019). Predicting suitable habitat of an invasive weed Parthenium hysterophorus under future climate scenarios in Chitwan Annapurna Landscape, Nepal. Journal of Mountain Science. 16(10). 2243–2256. 13 indexed citations
13.
Adiga, Abhijin, Chris J. Kuhlman, Madhav Marathe, Ravi Samikannu, & Anil Vullikanti. (2019). PAC Learnability of Node Functions in Networked Dynamical Systems. International Conference on Machine Learning. 97. 82–91. 1 indexed citations
14.
Venkatramanan, Srinivasan, Bowen Shi, Achla Marathe, et al.. (2019). Modeling commodity flow in the context of invasive species spread: Study of Tuta absoluta in Nepal. Crop Protection. 135. 104736–104736. 12 indexed citations
15.
Adiga, Abhijin, Stephen Eubank, Bryan Lewis, et al.. (2018). Disparities in spread and control of influenza in slums of Delhi: findings from an agent-based modelling study. BMJ Open. 8(1). e017353–e017353. 35 indexed citations
16.
Campos, Mateus Ribeiro de, Antonio Biondi, Abhijin Adiga, R. N. C. Guedes, & Nicolas Desneux. (2017). From the Western Palaearctic region to beyond: Tuta absoluta 10 years after invading Europe. Journal of Pest Science. 90(3). 787–796. 207 indexed citations
17.
Adiga, Abhijin, Chris J. Kuhlman, Madhav Marathe, et al.. (2016). Inferring local transition functions of discrete dynamical systems from observations of system behavior. Theoretical Computer Science. 679. 126–144. 6 indexed citations
18.
Adiga, Abhijin, L. Sunil Chandran, & Rogers Mathew. (2013). Cubicity, degeneracy, and crossing number. European Journal of Combinatorics. 35. 2–12. 2 indexed citations
19.
Devi, Vasudha, et al.. (2012). Fostering research skills in undergraduate medical students through Mentored Student Projects: Example from an Indian medical school. Kathmandu University Medical Journal. 8(3). 294–298. 34 indexed citations
20.
Adiga, Abhijin, et al.. (2010). Problem based learning - An approach to learning pharmacology in medical school. Biomedical Research-tokyo. 21(1). 0. 7 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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