Praphula Kumar Jain

1.1k citations
28 papers · 606 · h-index 17

Impact in

    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Topic Modeling
    • Text and Document Classification Technologies
    • Spam and Phishing Detection

Papers in

Praphula Kumar Jain

28 papers receiving 572 citations

Peers

Praphula Kumar Jain
Comparison fields: 5 of 103
  • Artificial Intelligence 312
  • Information Systems 131
  • Marketing 52
  • Computer Science Applications 30
  • Health Information Management 25
Replace Noboru Sonehara with:
Noboru Sonehara Japan
Yucong Duan China
Carla Vairetti Chile
Abba Suganda Girsang Indonesia
Yu–N Cheah Malaysia
Ankur Singh Bist India
Francesca Fallucchi Italy
Maryam Khanian Najafabadi Malaysia
Sahin Cem Geyik United States
S. Vijayarani India
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Citations per field
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Noboru Sonehara · 1×
Citations per year

Countries citing papers authored by Praphula Kumar Jain

Since Specialization
Citations

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

Fields of papers citing papers by Praphula Kumar Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Praphula Kumar Jain, 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 Praphula Kumar Jain Line = papers co-authored together Praphula Kumar Jain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202180
2 202245
3 202339
4 202037
5 202131
6 202229
7 202229
8 202129
9 201828
10 202227
11 202226
12 202124
13 201824
14 202122
15 202322
16 202117
17 202016
18 202211
19 202111
20 201911

About Praphula Kumar Jain

Praphula Kumar Jain is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Information Systems and Marketing, having authored 28 papers that have together received 606 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (9 papers), Digital Marketing and Social Media (5 papers), Advanced Text Analysis Techniques (4 papers), Spam and Phishing Detection (3 papers), Text and Document Classification Technologies (3 papers), Consumer Market Behavior and Pricing (3 papers), Network Security and Intrusion Detection (3 papers) and Forecasting Techniques and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (312 citations), Information Systems (131 citations), Marketing (52 citations), Computer Science Applications (30 citations) and Health Information Management (25 citations). Praphula Kumar Jain has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Rajendra Pamula, Vijayalakshmi Saravanan, Gautam Srivastava, Ajith Abraham, Chandra Sekhara Rao Annavarapu, Yu‐Chen Hu, Jerry Chun‐Wei Lin, Annavarapu Chandra Sekhara Rao, Lubna A. Gabralla and Anand Prakash. Their work appears in journals such as Wireless Personal Communications, Journal of Ambient Intelligence and Humanized Computing, Multimedia Tools and Applications, Cognitive Computation and Soft Computing.

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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