Sudipta Kar

1.2k citations
20 papers · 362 · h-index 10

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies
    • Text Readability and Simplification
    • Hate Speech and Cyberbullying Detection
    • Data Quality and Management

Papers in

Sudipta Kar

18 papers receiving 325 citations

Peers

Sudipta Kar
Comparison fields: 5 of 40
  • Artificial Intelligence 329
  • Management Science and Operations Research 39
  • Health Informatics 3
  • Information Systems 41
  • Emergency Medical Services 12
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Citations per field
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Citations per year

Countries citing papers authored by Sudipta Kar

Since Specialization
Citations

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

Fields of papers citing papers by Sudipta Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202287
2 202069
3 202334
4 202133
5 202332
6 201631
7 202217
8 201713
9 201813
10
Storage media for avulsed tooth - A review
201312
11
Age Suitability Rating: Predicting the MPAA Rating Based on Movie Dialogues
20205
12
MPST: A Corpus of Movie Plot Synopses with Tags
20184
13
Folksonomication: Predicting Tags for Movies from Plot Synopses Using Emotion Flow Encoded Neural Network
20183
14
BanFakeNews: A Dataset for Detecting Fake News in Bangla
20203
15 20232
16 20222
17 20141
18
A COMPARATIVE EVALUATION OF DENTAL CARIES STATUS AMONG VISUALLY IMPAIRED AND NORMAL CHILDREN OF MALDA, WEST BENGAL EVALUATED WITH CARIES ASSESSMENT SPECTRUM AND TREATMENT-A NEW CARIES ASSESSMENT SYSTEM
20151
19 20140
20 20250

About Sudipta Kar

Sudipta Kar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Emergency Medical Services, having authored 20 papers that have together received 362 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers), Sentiment Analysis and Opinion Mining (5 papers), Text and Document Classification Technologies (3 papers), Dental Trauma and Treatments (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Video Analysis and Summarization (2 papers) and Dental Health and Care Utilization (1 paper). The work is most often cited by research in Artificial Intelligence (329 citations), Management Science and Operations Research (39 citations), Health Informatics (3 citations), Information Systems (41 citations) and Emergency Medical Services (12 citations). Sudipta Kar has collaborated with scholars based in United States, Spain and Bangladesh. Frequent co-authors include Shervin Malmasi, Thamar Solorio, Besnik Fetahu, Oleg Rokhlenko, Anjie Fang, Zhiyu Chen, Paolo Rosso, Md. Saiful Islam, Marc Franco-Salvador and Parth Patwa. Their work appears in journals such as Language Resources and Evaluation, ACM Computing Surveys, Journal of Human Reproductive Sciences, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

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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