Nitin Sawhney

54 total papers · 1.6k total citations
39 papers, 1.1k citations indexed

About

Nitin Sawhney is a scholar working on Sociology and Political Science, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nitin Sawhney has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sociology and Political Science, 11 papers in Human-Computer Interaction and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nitin Sawhney's work include Innovative Human-Technology Interaction (7 papers), Context-Aware Activity Recognition Systems (6 papers) and Personal Information Management and User Behavior (6 papers). Nitin Sawhney is often cited by papers focused on Innovative Human-Technology Interaction (7 papers), Context-Aware Activity Recognition Systems (6 papers) and Personal Information Management and User Behavior (6 papers). Nitin Sawhney collaborates with scholars based in United States, Finland and Netherlands. Nitin Sawhney's co-authors include Chris Schmandt, Ian Smith, Bill N. Schilit, Lynn Wilcox, Alex Pentland, Brian Clarkson, C. Schmandt, Gregory D. Abowd, Cindy E. Hmelo and Christopher G. Atkeson and has published in prestigious journals such as Energy, New Media & Society and Information Communication & Society.

In The Last Decade

Nitin Sawhney

37 papers receiving 930 citations

Author Peers

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

Author						Papers	Cites
Nitin Sawhney	464	405	266	153	148	39	1.1k
Patrick Chiu	580 1.3×	482 1.2×	224 0.8×	123 0.8×	163 1.1×	58	1.0k
Malcolm Hall	240 0.5×	605 1.5×	398 1.5×	146 1.0×	127 0.9×	17	1.3k
Jason Wiese	208 0.4×	418 1.0×	458 1.7×	211 1.4×	142 1.0×	55	1.4k
Wesley Willett	737 1.6×	437 1.1×	178 0.7×	72 0.5×	203 1.4×	49	1.3k
Scott Minneman	345 0.7×	732 1.8×	196 0.7×	122 0.8×	158 1.1×	25	1.1k
Marcelo Soares Pimenta	347 0.7×	285 0.7×	241 0.9×	131 0.9×	172 1.2×	98	1.1k
Kevin Larson	332 0.7×	376 0.9×	119 0.4×	122 0.8×	127 0.9×	32	1.0k
Konrad Tollmar	390 0.8×	559 1.4×	166 0.6×	72 0.5×	172 1.2×	62	1.2k
Bongshin Lee	472 1.0×	558 1.4×	115 0.4×	174 1.1×	222 1.5×	20	1.3k
Alireza Sahami Shirazi	324 0.7×	656 1.6×	175 0.7×	229 1.5×	73 0.5×	55	1.4k

Countries citing papers authored by Nitin Sawhney

Since Specialization

Citations

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

Fields of papers citing papers by Nitin Sawhney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Sawhney

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