Swastik Kopparty

115 total papers · 1.4k total citations
50 papers, 649 citations indexed

About

Swastik Kopparty is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Swastik Kopparty has authored 50 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 24 papers in Computational Theory and Mathematics and 20 papers in Computer Networks and Communications. Recurrent topics in Swastik Kopparty's work include Coding theory and cryptography (32 papers), Complexity and Algorithms in Graphs (14 papers) and graph theory and CDMA systems (12 papers). Swastik Kopparty is often cited by papers focused on Coding theory and cryptography (32 papers), Complexity and Algorithms in Graphs (14 papers) and graph theory and CDMA systems (12 papers). Swastik Kopparty collaborates with scholars based in United States, Israel and India. Swastik Kopparty's co-authors include Madhu Sudan, Shubhangi Saraf, Chinya V. Ravishankar, Michalis Faloutsos, Srikanth V. Krishnamurthy, Satish K. Tripathi, Venkatesan Guruswami, Zeev Dvir, Eli Ben‐Sasson and Jaikumar Radhakrishnan and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Swastik Kopparty

47 papers receiving 585 citations

Author Peers

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

Author						Papers	Cites
Swastik Kopparty	385	314	225	193	52	50	649
Agnes Chan	374 1.0×	205 0.7×	128 0.6×	257 1.3×	54 1.0×	32	557
Hong‐Yeop Song	447 1.2×	346 1.1×	189 0.8×	523 2.7×	32 0.6×	127	697
Tian Tian	511 1.3×	161 0.5×	87 0.4×	129 0.7×	48 0.9×	72	598
Michele Elia	338 0.9×	243 0.8×	104 0.5×	360 1.9×	32 0.6×	74	595
Andrej Bogdanov	305 0.8×	225 0.7×	309 1.4×	138 0.7×	41 0.8×	38	631
A. J. Bernstein	226 0.6×	431 1.4×	163 0.7×	121 0.6×	18 0.3×	39	747
Arya Mazumdar	331 0.9×	363 1.2×	165 0.7×	142 0.7×	37 0.7×	66	591
Andrea S. LaPaugh	95 0.2×	402 1.3×	259 1.2×	178 0.9×	68 1.3×	26	742
Joseph D. Horton	135 0.4×	177 0.6×	285 1.3×	237 1.2×	59 1.1×	33	661
Sandeep Sen	226 0.6×	319 1.0×	333 1.5×	60 0.3×	102 2.0×	65	714

Countries citing papers authored by Swastik Kopparty

Since Specialization

Citations

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

Fields of papers citing papers by Swastik Kopparty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swastik Kopparty

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