Prasenjit Majumder

1.6k citations
68 papers · 905 indexed · h-index 14
Topics
Topic Modeling (31 papers)Natural Language Processing Techniques (29 papers)Hate Speech and Cyberbullying Detection (13 papers)

In The Last Decade

Prasenjit Majumder

64 papers receiving 805 citations

Peers

Prasenjit Majumder
Comparison fields: 5 of 65
  • Artificial Intelligence 821
  • Information Systems 208
  • Communication 73
  • Signal Processing 69
  • Computer Vision and Pattern Recognition 66
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Citations per field
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Citations per year

Countries citing papers authored by Prasenjit Majumder

Since Specialization
Citations

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

Fields of papers citing papers by Prasenjit Majumder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasenjit Majumder

This figure shows the co-authorship network connecting the top 25 collaborators of Prasenjit Majumder. A scholar is included among the top collaborators of Prasenjit Majumder 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 Prasenjit Majumder. Prasenjit Majumder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages.
43
8
Overview of the FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages.
3
9 8
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Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance.
6
11
Filtering Aggression from the Multilingual Social Media Feed
26
12
Biomedical Information Retrieval.
5
13
DAIICT at TREC RTS 2016: Live Push Notification and Email Digest.
1
14
Author Masking through Translation.
5
15
Team DA IICT at Clinical Decision Support Track in TREC 2016: Topic Modeling for Query Expansion.
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Fusing Manual and Machine Feedback in Biomedical Domain
6
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Andd7 @ NTCIR-11 Temporal Information Access Task
4
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Passage Retrieval for Tweet Contextualization at INEX 2012.
3
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Indian Statistical Institute, Kolkata at TREC 2010 : Legal Interactive
0
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Hungarian and Czech Stemming using YASS.
5

About Prasenjit Majumder

Prasenjit Majumder is a scholar working on Artificial Intelligence, Information Systems and Software, having authored 68 papers that have together received 905 indexed citations. Recurring topics across this work include Topic Modeling (31 papers), Natural Language Processing Techniques (29 papers) and Hate Speech and Cyberbullying Detection (13 papers). The work is most often cited by research in Artificial Intelligence (821 citations), Communication (73 citations) and Information Systems (208 citations). Prasenjit Majumder has collaborated with scholars based in India, Germany and United Kingdom. Frequent co-authors include Sandip Modha, Thomas Mandl, Mandar Mitra, Daksh Patel, Parth Mehta, Kripabandhu Ghosh, Swapan K. Parui, Pabitra Mitra, Monojit Choudhury and Rishiraj Saha Roy. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition Letters and Information Processing & Management.

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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