Ankur A. Kulkarni

114 total papers · 737 total citations
48 papers, 388 citations indexed

About

Ankur A. Kulkarni is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Economics and Econometrics. According to data from OpenAlex, Ankur A. Kulkarni has authored 48 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Science and Operations Research, 16 papers in Electrical and Electronic Engineering and 13 papers in Economics and Econometrics. Recurrent topics in Ankur A. Kulkarni's work include Game Theory and Applications (18 papers), Economic theories and models (11 papers) and Wireless Communication Security Techniques (10 papers). Ankur A. Kulkarni is often cited by papers focused on Game Theory and Applications (18 papers), Economic theories and models (11 papers) and Wireless Communication Security Techniques (10 papers). Ankur A. Kulkarni collaborates with scholars based in India, United States and France. Ankur A. Kulkarni's co-authors include Uday V. Shanbhag, Todd P. Coleman, Mathew Abraham, Negar Kiyavash, Daniel Cullina, Venkatesh Sarangan, Vivek S. Borkar, R.S. Sreenivas, Jayakrishnan Nair and Sharayu Moharir and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Automatica.

In The Last Decade

Ankur A. Kulkarni

43 papers receiving 374 citations

Author Peers

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

Author						Papers	Cites
Ankur A. Kulkarni	137	128	104	95	67	48	388
Giuseppe Belgioioso	135 1.0×	84 0.7×	44 0.4×	83 0.9×	164 2.4×	36	434
Ashish R. Hota	151 1.1×	71 0.6×	29 0.3×	28 0.3×	36 0.5×	42	434
Simon Fischer	65 0.5×	128 1.0×	58 0.6×	54 0.6×	189 2.8×	26	427
Chongqi Zhang	32 0.2×	77 0.6×	17 0.2×	58 0.6×	70 1.0×	46	378
Vladimir V. Anisimov	30 0.2×	131 1.0×	87 0.8×	27 0.3×	37 0.6×	49	445
R. Syski	52 0.4×	99 0.8×	40 0.4×	55 0.6×	97 1.4×	27	419
Yongjie Yang	69 0.5×	72 0.6×	109 1.0×	105 1.1×	71 1.1×	47	357
Bruce Calvert	79 0.6×	33 0.3×	17 0.2×	104 1.1×	62 0.9×	41	418
Carlos Martín-Barreiro	20 0.1×	58 0.5×	39 0.4×	21 0.2×	21 0.3×	37	388
B. Grigelionis	13 0.1×	101 0.8×	69 0.7×	25 0.3×	46 0.7×	61	441

Countries citing papers authored by Ankur A. Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by Ankur A. Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ankur A. Kulkarni. 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 Ankur A. Kulkarni. The network helps show where Ankur A. Kulkarni may publish in the future.

Co-authorship network of co-authors of Ankur A. Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Ankur A. Kulkarni. A scholar is included among the top collaborators of Ankur A. Kulkarni 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 Ankur A. Kulkarni. Ankur A. Kulkarni 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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