Kayur Patel

28 total papers · 1.3k total citations
24 papers, 887 citations indexed

About

Kayur Patel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kayur Patel has authored 24 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Kayur Patel's work include Data Visualization and Analytics (5 papers), Data Stream Mining Techniques (4 papers) and Context-Aware Activity Recognition Systems (3 papers). Kayur Patel is often cited by papers focused on Data Visualization and Analytics (5 papers), Data Stream Mining Techniques (4 papers) and Context-Aware Activity Recognition Systems (3 papers). Kayur Patel collaborates with scholars based in United States, United Kingdom and Germany. Kayur Patel's co-authors include James Fogarty, James A. Landay, Jeremy N. Bailenson, Mitchell Gordon, Kanit Wongsuphasawat, Sang-Hack Jung, Beverly L. Harrison, Fred Hohman, Michael S. Bernstein and Tatsunori Hashimoto and has published in prestigious journals such as Proceedings of the IEEE, BMJ and Computers in Human Behavior.

In The Last Decade

Kayur Patel

23 papers receiving 844 citations

Author Peers

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

Author						Papers	Cites
Kayur Patel	364	222	161	143	103	24	887
Bjoern Hartmann	334 0.9×	283 1.3×	298 1.9×	139 1.0×	220 2.1×	49	1.0k
Justin D. Weisz	387 1.1×	103 0.5×	118 0.7×	137 1.0×	77 0.7×	34	824
Tongshuang Wu	593 1.6×	204 0.9×	80 0.5×	131 0.9×	71 0.7×	47	929
Dongwook Yoon	237 0.7×	111 0.5×	208 1.3×	120 0.8×	231 2.2×	51	861
Shuai Ma	291 0.8×	180 0.8×	134 0.8×	100 0.7×	132 1.3×	71	996
Rafał Kocielnik	324 0.9×	76 0.3×	218 1.4×	82 0.6×	72 0.7×	39	972
Dan Weld	443 1.2×	151 0.7×	169 1.0×	108 0.8×	95 0.9×	6	940
Alejandro Catalá	309 0.8×	102 0.5×	249 1.5×	164 1.1×	174 1.7×	60	981
Huahai Yang	392 1.1×	103 0.5×	121 0.8×	146 1.0×	40 0.4×	31	746
Dennis E. Egan	288 0.8×	117 0.5×	201 1.2×	186 1.3×	63 0.6×	21	1.0k

Countries citing papers authored by Kayur Patel

Since Specialization

Citations

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

Fields of papers citing papers by Kayur Patel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayur Patel

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