Suhit Gupta

688 citations
14 papers · 421 · h-index 8

Impact in

Papers in

    • Web Data Mining and Analysis 9
    • Web Application Security Vulnerabilities 3
    • Algorithms and Data Compression 3
    • Text and Document Classification Technologies 2
    • Advanced Text Analysis Techniques 1

Suhit Gupta

12 papers receiving 374 citations

Peers

Suhit Gupta
Comparison fields: 5 of 50
  • Human Factors and Ergonomics 57
  • Information Systems 329
  • Artificial Intelligence 210
  • Computer Networks and Communications 95
  • Occupational Therapy 15
Replace Xian Zhan with:
Xian Zhan China
David Stotts United States
Eman Abdullah AlOmar United States
Galina Bogdanova Bulgaria
Carol V. Alexandru Switzerland
Mirka Leino Finland
Nilton Bila United States
Anthony Peruma United States
Nataliia Bielova France
Mei-Hwa Chen United States
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Citations per field
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Citations per year

Countries citing papers authored by Suhit Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Suhit Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Suhit Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suhit Gupta Line = papers co-authored together Suhit Gupta links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2003207
2 200557
3 200546
4 200337
5 200521
6 200520
7 200115
8 20067
9
Context-based content extraction of html documents
20063
10 20043
11 20052
12
USABILITY CONSIDERATIONS IN THE DESIGN OF HANDHELD ELECTRONIC DEVICES
20031
13 20041
14 20051

About Suhit Gupta

Suhit Gupta is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Human Factors and Ergonomics and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 421 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (9 papers), Digital Accessibility for Disabilities (3 papers), Video Analysis and Summarization (3 papers), Multimedia Communication and Technology (3 papers), Algorithms and Data Compression (3 papers), Web Application Security Vulnerabilities (3 papers), Text and Document Classification Technologies (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Human Factors and Ergonomics (57 citations), Information Systems (329 citations), Artificial Intelligence (210 citations), Computer Networks and Communications (95 citations) and Occupational Therapy (15 citations). Suhit Gupta has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Gail E. Kaiser, Justin Starren, Michael F. Chiang, Salvatore J. Stolfo, Peter Grimm, Gaurav S. Kc, Janak J. Parekh, Hila Becker, Dan Phung and Giuseppe Valetto. Their work appears in journals such as World Wide Web, Survey of Ophthalmology, Columbia Academic Commons (Columbia University) and Greenwich Academic Literature Archive (University of Greenwich).

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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