Krishanu Maity

411 citations
27 papers · 252 · h-index 9

Impact in

    • Hate Speech and Cyberbullying Detection
    • Sentiment Analysis and Opinion Mining
    • Internet Traffic Analysis and Secure E-voting
    • Advanced Malware Detection Techniques

Papers in

Krishanu Maity

26 papers receiving 244 citations

Peers

Krishanu Maity
Comparison fields: 5 of 40
  • Artificial Intelligence 188
  • Signal Processing 61
  • Social Psychology 62
  • Information Systems 58
  • Computer Networks and Communications 39
Replace S. S. Shylaja with:
S. S. Shylaja India
Sattam Almatarneh Jordan
Nianwen Ning China
Jason Wang China
Haoti Zhong United States
Irvin Dongo Peru
Michael W. Floyd United States
Stephanie M. Lukin United States
Faranak Abri United States
Aaron Jaech United States
Krishanu Maity relative to S. S. Shylaja India S. S. Shylaja's profile →
Citations per field
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S. S. Shylaja · 1×
Citations per year

Countries citing papers authored by Krishanu Maity

Since Specialization
Citations

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

Fields of papers citing papers by Krishanu Maity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Krishanu Maity, 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 Krishanu Maity Line = papers co-authored together Krishanu Maity links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202254
2 202231
3 201823
4 201922
5 202218
6 202118
7 202315
8 202211
9 202110
10 20248
11 20187
12 20185
13 20234
14 20223
15 20233
16 20243
17 20233
18 20193
19 20232
20 20232

About Krishanu Maity

Krishanu Maity is a scholar working on Artificial Intelligence, Social Psychology, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 252 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (17 papers), Bullying, Victimization, and Aggression (9 papers), Advanced Malware Detection Techniques (6 papers), Software Engineering Research (2 papers), Spam and Phishing Detection (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Infrastructure Maintenance and Monitoring (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Artificial Intelligence (188 citations), Signal Processing (61 citations), Social Psychology (62 citations), Information Systems (58 citations) and Computer Networks and Communications (39 citations). Krishanu Maity has collaborated with scholars based in India, Thailand and United States. Frequent co-authors include Sriparna Saha, Pushpak Bhattacharyya, Nimisha Ghosh, Manjeevan Seera, Kitsuchart Pasupa, Sriparna Saha, Mohan D. Rao and Dhirendra Nath Thatoi. Their work appears in journals such as IEEE Transactions on Computational Social Systems, IEEE Access, IEEE Internet Computing, Lecture notes in computer science and Journal of Failure Analysis and Prevention.

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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