Praphula Kumar Jain

1.2k citations
28 papers · 650 · h-index 17

Impact in

Papers in

Praphula Kumar Jain

28 papers receiving 617 citations

Peers

Praphula Kumar Jain
Comparison fields: 5 of 102
  • Artificial Intelligence 324
  • Health Information Management 27
  • Information Systems 133
  • Marketing 54
  • Computer Science Applications 31
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Carla Vairetti Chile
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Edi Abdurachman Indonesia
Ankur Singh Bist India
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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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202183
2 202249
3 202047
4 202342
5 202233
6 202233
7 202132
8 202230
9 202130
10 201828
11 202228
12 201826
13 202125
14 202323
15 202123
16 202117
17 202016
18 202114
19 201911
20 202211

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 650 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), Consumer Market Behavior and Pricing (3 papers), Network Security and Intrusion Detection (3 papers), Spam and Phishing Detection (3 papers), Text and Document Classification Technologies (3 papers) and Forecasting Techniques and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (324 citations), Health Information Management (27 citations), Information Systems (133 citations), Marketing (54 citations) and Computer Science Applications (31 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, Multimedia Tools and Applications, Journal of Ambient Intelligence and Humanized Computing, Journal of Database Management and Cognitive Computation.

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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