Pradeep Kumar Roy

2.1k citations
62 papers · 1.5k · 1 hit paper · h-index 18

Impact in

    • Sentiment Analysis and Opinion Mining
    • Hate Speech and Cyberbullying Detection
    • Topic Modeling
    • Internet Traffic Analysis and Secure E-voting
    • Spam and Phishing Detection

Papers in

    • Topic Modeling 12
    • Hate Speech and Cyberbullying Detection 11
    • Sentiment Analysis and Opinion Mining 8
    • Expert finding and Q&A systems 11
    • Spam and Phishing Detection 11

Pradeep Kumar Roy

59 papers receiving 1.4k citations

Pradeep Kumar Roy's Hit Papers

Predicting the “helpfulness” of online consumer reviews 2016 · 345 citations
3450+3+6Years since publication100200300

Peers

Pradeep Kumar Roy
Comparison fields: 5 of 101
  • Artificial Intelligence 926
  • Information Systems 537
  • Signal Processing 170
  • Information Systems and Management 96
  • Computer Science Applications 75
Replace Zeno Gantner with:
Zeno Gantner Germany
Tien Thanh Nguyen Australia
Cataldo Musto Italy
Joeran Beel Germany
Mihajlo Grbovic United States
Hal Berghel United States
Rishabh Mehrotra United Kingdom
Yuanchun Jiang China
Ludovico Boratto Italy
Yang Song United States
Pradeep Kumar Roy relative to Zeno Gantner Germany Zeno Gantner's profile →
Citations per field
00.5×2×2.9×
Zeno Gantner · 1×
Citations per year

Countries citing papers authored by Pradeep Kumar Roy

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Kumar Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep Kumar Roy. 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 Pradeep Kumar Roy. The network helps show where Pradeep Kumar Roy may publish in the future.

Co-authors

The 25 scholars most cited alongside Pradeep Kumar Roy, 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 Pradeep Kumar Roy Line = papers co-authored together Pradeep Kumar Roy 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
Predicting the “helpfulness” of online consumer reviews
Hit paper breakdown →
2016345
2 2019157
3 2020146
4 2020126
5 202273
6 202061
7 202260
8 201742
9 202039
10 201834
11 202232
12 201529
13 202123
14 202221
15 202218
16 201918
17 202018
18 202117
19 202117
20 202214

About Pradeep Kumar Roy

Pradeep Kumar Roy is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Computer Science Applications, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Hate Speech and Cyberbullying Detection (11 papers), Expert finding and Q&A systems (11 papers), Spam and Phishing Detection (11 papers), Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (8 papers), Sentiment Analysis and Opinion Mining (8 papers) and Mobile Crowdsensing and Crowdsourcing (8 papers). The work is most often cited by research in Artificial Intelligence (926 citations), Information Systems (537 citations), Signal Processing (170 citations), Information Systems and Management (96 citations) and Computer Science Applications (75 citations). Pradeep Kumar Roy has collaborated with scholars based in India, United Kingdom and Taiwan. Frequent co-authors include Jyoti Prakash Singh, Sunil Saumya, Nripendra P. Rana, Snehasish Banerjee, Yogesh K. Dwivedi, Asis Kumar Tripathy, Tapan Kumar Das, Xiao‐Zhi Gao, Abhinav Kumar and Sarjana Singh. Their work appears in journals such as Computers & Electrical Engineering, IEEE Transactions on Consumer Electronics, Neural Processing Letters, Journal of Business Research and Computer Speech & Language.

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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