Gautam Kunapuli

57 total papers · 750 total citations
22 papers, 371 citations indexed

About

Gautam Kunapuli is a scholar working on Artificial Intelligence, Control and Systems Engineering and Numerical Analysis. According to data from OpenAlex, Gautam Kunapuli has authored 22 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 3 papers in Numerical Analysis. Recurrent topics in Gautam Kunapuli's work include Machine Learning and Algorithms (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Bayesian Modeling and Causal Inference (4 papers). Gautam Kunapuli is often cited by papers focused on Machine Learning and Algorithms (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Bayesian Modeling and Causal Inference (4 papers). Gautam Kunapuli collaborates with scholars based in United States, Germany and India. Gautam Kunapuli's co-authors include Kristin P. Bennett, Jing Hu, Jong‐Shi Pang, Sriraam Natarajan, John E. Mitchell, Jude Shavlik, Kristian Kersting, Prasad Tadepalli, Xiaoyun Ji and Anita Mahadevan‐Jansen and has published in prestigious journals such as SIAM Journal on Optimization, Burns and International Journal of Approximate Reasoning.

In The Last Decade

Gautam Kunapuli

22 papers receiving 345 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gautam Kunapuli	141	96	82	64	43	22	371
Davaatseren Baatar	161 1.1×	82 0.9×	23 0.3×	22 0.3×	42 1.0×	14	391
Harun Bingöl	204 1.4×	68 0.7×	17 0.2×	12 0.2×	28 0.7×	24	363
Saroj Kumar Sahoo	267 1.9×	141 1.5×	51 0.6×	14 0.2×	17 0.4×	11	396
Abdelmonem M. Ibrahim	238 1.7×	126 1.3×	35 0.4×	31 0.5×	6 0.1×	15	346
Yin Wang	57 0.4×	116 1.2×	58 0.7×	7 0.1×	10 0.2×	27	408
Xingsi Li	34 0.2×	159 1.7×	65 0.8×	141 2.2×	4 0.1×	28	346
Bernd Dammann	24 0.2×	53 0.6×	121 1.5×	36 0.6×	33 0.8×	24	344
Sait Ali Uymaz	283 2.0×	140 1.5×	28 0.3×	5 0.1×	21 0.5×	17	422
Ronald I. Becker	34 0.2×	149 1.6×	23 0.3×	23 0.4×	4 0.1×	34	346
Hoai Minh Le	139 1.0×	57 0.6×	52 0.6×	116 1.8×	6 0.1×	21	446

Countries citing papers authored by Gautam Kunapuli

Since Specialization

Citations

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

Fields of papers citing papers by Gautam Kunapuli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gautam Kunapuli

This figure shows the co-authorship network connecting the top 25 collaborators of Gautam Kunapuli. A scholar is included among the top collaborators of Gautam Kunapuli 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 Gautam Kunapuli. Gautam Kunapuli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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