Sinjini Mitra

636 citations
62 papers · 476 · h-index 10

Impact in

Papers in

Sinjini Mitra

56 papers receiving 442 citations

Peers

Sinjini Mitra
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 246
  • Signal Processing 122
  • Computer Science Applications 38
  • Experimental and Cognitive Psychology 48
  • Human-Computer Interaction 16
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Harry Agius United Kingdom
Ragnhild Eg Norway
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Citations per field
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Citations per year

Countries citing papers authored by Sinjini Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Sinjini Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sinjini Mitra, 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 Sinjini Mitra Line = papers co-authored together Sinjini Mitra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003107
2 200442
3
Modeling learning patterns of students with a tutoring system using Hidden Markov Models
200733
4 201625
5 200722
6 201921
7 200618
8 200713
9 202111
10 201811
11 202010
12 20199
13 20068
14
Towards Greater Integrity in Online Exams
20168
15 20157
16 20167
17 20187
18 20177
19 20126
20 20186

About Sinjini Mitra

Sinjini Mitra is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Science Applications, Health and Education, having authored 62 papers that have together received 476 indexed citations. Recurring topics across this work include Face and Expression Recognition (16 papers), Face recognition and analysis (16 papers), Biometric Identification and Security (15 papers), Innovations in Educational Methods (6 papers), Social Media in Health Education (5 papers), User Authentication and Security Systems (5 papers), Mobile Health and mHealth Applications (5 papers) and Online Learning and Analytics (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (246 citations), Signal Processing (122 citations), Computer Science Applications (38 citations), Experimental and Cognitive Psychology (48 citations) and Human-Computer Interaction (16 citations). Sinjini Mitra has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Yanxi Liu, Jeffrey F. Cohn, Karen L. Schmidt, Mikhail I. Gofman, Marios Savvides, Paul R. Cohen, Carole R. Beal, B. V. K. Vijaya Kumar, Rema Padman and Nicole A. Lazar. Their work appears in journals such as Journal of Education for Business, The FASEB Journal, Frontiers in Psychology, Advances in computer vision and pattern recognition and Computer Vision and Image Understanding.

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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