Sinjini Mitra

614 citations
51 papers · 367 · h-index 10

Impact in

Papers in

Sinjini Mitra

46 papers receiving 334 citations

Peers

Sinjini Mitra
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 180
  • Signal Processing 92
  • Computer Science Applications 37
  • Experimental and Cognitive Psychology 45
  • Human-Computer Interaction 15
Replace Neşe Alyüz with:
Neşe Alyüz Türkiye
Ragnhild Eg Norway
Matthew Marge United States
Tod Machover United States
C. Longworth United Kingdom
Nadia Mana Italy
Alessandro Cappelletti Italy
Om Deshmukh United States
Harry Agius United Kingdom
Proadpran Punyabukkana Thailand
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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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200387
2
Modeling learning patterns of students with a tutoring system using Hidden Markov Models
200732
3 200429
4 201621
5 201916
6 200616
7 200712
8 200712
9 201811
10 201910
11 20158
12 20218
13 20208
14
Towards Greater Integrity in Online Exams
20167
15 20067
16 20177
17 20206
18 20186
19
An Inquiry into Mental Models of Web Interface Design
20135
20 20195

About Sinjini Mitra

Sinjini Mitra is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Education, General Health Professions and Computer Science Applications, having authored 51 papers that have together received 367 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Biometric Identification and Security (11 papers), Face recognition and analysis (11 papers), Online Learning and Analytics (6 papers), Innovations in Educational Methods (6 papers), Statistics Education and Methodologies (4 papers), Mobile Health and mHealth Applications (4 papers) and Evolutionary Psychology and Human Behavior (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (180 citations), Signal Processing (92 citations), Computer Science Applications (37 citations), Experimental and Cognitive Psychology (45 citations) and Human-Computer Interaction (15 citations). Sinjini Mitra has collaborated with scholars based in United States and Australia. Frequent co-authors include Yanxi Liu, Karen L. Schmidt, Jeffrey F. Cohn, Marios Savvides, Mikhail Gofman, Carole R. Beal, Paul R. Cohen, B. V. K. Vijaya Kumar, Archana J. McEligot and Gerard Beenen. Their work appears in journals such as Journal of Education for Business, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of the Association for Information Systems, Communications of the ACM and Journal of Latinos and Education.

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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