Praphula Kumar Jain

1.2k citations
34 papers · 826 · h-index 17

Impact in

Papers in

    • Sentiment Analysis and Opinion Mining 11
    • Advanced Text Analysis Techniques 4
    • Text and Document Classification Technologies 3
    • Anomaly Detection Techniques and Applications 3
    • Consumer Market Behavior and Pricing 6

Praphula Kumar Jain

34 papers receiving 783 citations

Peers

Praphula Kumar Jain
Comparison fields: 5 of 108
  • Artificial Intelligence 400
  • Health Information Management 32
  • Marketing 64
  • Information Systems 155
  • Organizational Behavior and Human Resource Management 67
Replace Shaha T. Al-Otaibi with:
Shaha T. Al-Otaibi Saudi Arabia
Chunhua Ju China
Tranos Zuva South Africa
Krishna Kumar Mohbey India
Francesca Fallucchi Italy
Jesús Peral Spain
Abba Suganda Girsang Indonesia
Chen Zhu China
Laura Calvet Spain
Carla Vairetti Chile
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Citations per field
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202195
2 202062
3 202253
4 202349
5 201842
6 202240
7 201839
8 202235
9 202233
10 202132
11 202132
12 202231
13 202330
14 202129
15 202125
16 201824
17 202120
18 202017
19 202116
20 201914

About Praphula Kumar Jain

Praphula Kumar Jain is a scholar working on Artificial Intelligence, Marketing, Computer Networks and Communications, Information Systems and Sociology and Political Science, having authored 34 papers that have together received 826 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (11 papers), Digital Marketing and Social Media (8 papers), Consumer Market Behavior and Pricing (6 papers), Network Security and Intrusion Detection (5 papers), Advanced Text Analysis Techniques (4 papers), Text and Document Classification Technologies (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Artificial Intelligence (400 citations), Health Information Management (32 citations), Marketing (64 citations), Information Systems (155 citations) and Organizational Behavior and Human Resource Management (67 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, Yu‐Chen Hu, Annavarapu Chandra Sekhara Rao, Jerry Chun‐Wei Lin, Bharti Nagpal, 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 IEEE Transactions on Computational Social Systems.

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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