Krishna Kamath

35 total papers · 463 total citations
26 papers, 262 citations indexed

About

Krishna Kamath is a scholar working on Statistical and Nonlinear Physics, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Krishna Kamath has authored 26 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 11 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Krishna Kamath's work include Complex Network Analysis Techniques (12 papers), Human Mobility and Location-Based Analysis (6 papers) and Spam and Phishing Detection (5 papers). Krishna Kamath is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Human Mobility and Location-Based Analysis (6 papers) and Spam and Phishing Detection (5 papers). Krishna Kamath collaborates with scholars based in United States, India and Israel. Krishna Kamath's co-authors include James Caverlee, Zhiyuan Cheng, Kyumin Lee, Daniel Z. Sui, Ana-Maria Popescu, Trausti Kristjansson, Yuan Liang, Aneesh Sharma, Johan Ugander and Sharad Goel and has published in prestigious journals such as IEEE Data(base) Engineering Bulletin, Proceedings of the International AAAI Conference on Web and Social Media and Proceedings of SPE California Regional Meeting.

In The Last Decade

Krishna Kamath

24 papers receiving 246 citations

Author Peers

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

Author						Papers	Cites
Krishna Kamath	103	83	82	77	53	26	262
Yuto Yamaguchi	78 0.8×	47 0.6×	59 0.7×	61 0.8×	40 0.8×	19	205
Esther Galbrun	69 0.7×	64 0.8×	78 1.0×	92 1.2×	68 1.3×	20	295
George Valkanas	94 0.9×	26 0.3×	83 1.0×	84 1.1×	47 0.9×	22	253
Shuai Xu	49 0.5×	84 1.0×	63 0.8×	61 0.8×	35 0.7×	32	207
Tim Baldwin	52 0.5×	103 1.2×	66 0.8×	150 1.9×	50 0.9×	12	315
Tsai-Ching Lu	74 0.7×	23 0.3×	44 0.5×	166 2.2×	21 0.4×	36	303
Yuan Zhong	39 0.4×	106 1.3×	60 0.7×	106 1.4×	30 0.6×	21	295
Demetris Antoniades	73 0.7×	20 0.2×	93 1.1×	110 1.4×	44 0.8×	15	259
Desislava Hristova	96 0.9×	86 1.0×	21 0.3×	58 0.8×	19 0.4×	15	237
Liang Jiang	149 1.4×	37 0.4×	94 1.1×	156 2.0×	16 0.3×	17	302

Countries citing papers authored by Krishna Kamath

Since Specialization

Citations

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

Fields of papers citing papers by Krishna Kamath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Kamath

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