P. V. Kumar

1.8k total citations
39 papers, 1.2k citations indexed

About

P. V. Kumar is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, P. V. Kumar has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 26 papers in Signal Processing and 14 papers in Artificial Intelligence. Recurrent topics in P. V. Kumar's work include Data Mining Algorithms and Applications (25 papers), Time Series Analysis and Forecasting (21 papers) and Data Management and Algorithms (17 papers). P. V. Kumar is often cited by papers focused on Data Mining Algorithms and Applications (25 papers), Time Series Analysis and Forecasting (21 papers) and Data Management and Algorithms (17 papers). P. V. Kumar collaborates with scholars based in India, Jordan and Australia. P. V. Kumar's co-authors include Vangipuram Radhakrishna, V. Janaki, Shadi Aljawarneh, Kim‐Kwang Raymond Choo, R. V. Krishnaiah, Aravind Cheruvu, Juan A. Lara, Khalaf Khatatneh and D. Vasumathi and has published in prestigious journals such as Future Generation Computer Systems, Multimedia Tools and Applications and Soft Computing.

In The Last Decade

P. V. Kumar

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. V. Kumar India 23 603 561 554 369 177 39 1.2k
V. Janaki India 22 528 0.9× 579 1.0× 541 1.0× 361 1.0× 166 0.9× 52 1.1k
Vangipuram Radhakrishna India 30 928 1.5× 1.0k 1.9× 849 1.5× 670 1.8× 241 1.4× 77 2.0k
Jimmy Ming‐Tai Wu China 17 500 0.8× 499 0.9× 220 0.4× 183 0.5× 243 1.4× 85 1.2k
Chowdhury Farhan Ahmed Bangladesh 21 1.4k 2.3× 894 1.6× 635 1.1× 222 0.6× 886 5.0× 64 1.7k
Sikha Bagui United States 16 280 0.5× 509 0.9× 207 0.4× 399 1.1× 45 0.3× 97 913
O. P. Vyas India 17 384 0.6× 498 0.9× 142 0.3× 353 1.0× 69 0.4× 120 1.1k
Anjana Gosain India 16 383 0.6× 507 0.9× 132 0.2× 274 0.7× 30 0.2× 112 1.1k
Xu Chu Canada 14 394 0.7× 842 1.5× 189 0.3× 303 0.8× 36 0.2× 16 1.4k
Yon Dohn Chung South Korea 18 400 0.7× 449 0.8× 250 0.5× 611 1.7× 25 0.1× 84 1.1k
Soon M. Chung United States 16 554 0.9× 634 1.1× 208 0.4× 202 0.5× 183 1.0× 84 1.1k

Countries citing papers authored by P. V. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by P. V. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. V. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of P. V. Kumar. A scholar is included among the top collaborators of P. V. Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. V. Kumar. P. V. Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Radhakrishna, Vangipuram, et al.. (2021). Challenge Paper: The Vision for Time Profiled Temporal Association Mining. Journal of Data and Information Quality. 13(2). 1–8. 6 indexed citations
2.
Kumar, P. V., Vangipuram Radhakrishna, & V. Janaki. (2020). A Novel Similar Temporal System Call Pattern Mining for Efficient Intrusion Detection. JUCS - Journal of Universal Computer Science. 22. 475–493. 11 indexed citations
3.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2019). GANDIVA. International Journal of Information Technology and Web Engineering. 14(4). 1–18. 9 indexed citations
4.
Radhakrishna, Vangipuram, P. V. Kumar, V. Janaki, et al.. (2019). Krishna Sudarsana—A Z-Space Interest Measure for Mining Similarity Profiled Temporal Association Patterns. Foundations of Science. 25(4). 1027–1048. 21 indexed citations
5.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2018). Retracted on September 10, 2025: Krishna Sudarsana: A Z-Space Similarity Measure. 1–4. 34 indexed citations
6.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2017). Normal Distribution Based Similarity Profiled Temporal Association Pattern Mining (N-SPAMINE). RePEc: Research Papers in Economics. 7(3). 22–33. 29 indexed citations
7.
Kumar, P. V., et al.. (2017). Shifted Adaption Homomorphism Encryption for Mobile and Cloud Learning. Computers & Electrical Engineering. 65. 178–195. 55 indexed citations
8.
Aljawarneh, Shadi, Vangipuram Radhakrishna, P. V. Kumar, & V. Janaki. (2017). G-SPAMINE: An approach to discover temporal association patterns and trends in internet of things. Future Generation Computer Systems. 74. 430–443. 123 indexed citations
9.
Radhakrishna, Vangipuram, P. V. Kumar, V. Janaki, & Shadi Aljawarneh. (2016). A similarity measure for outlier detection in timestamped temporal databases. 1–5. 43 indexed citations
10.
Radhakrishna, Vangipuram, Shadi Aljawarneh, P. V. Kumar, & Kim‐Kwang Raymond Choo. (2016). A novel fuzzy gaussian-based dissimilarity measure for discovering similarity temporal association patterns. Soft Computing. 22(6). 1903–1919. 102 indexed citations
11.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2016). A computationally optimal approach for extracting similar temporal patterns. 21. 1–6. 33 indexed citations
12.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2016). Mining Outlier Temporal Association Patterns. 1–6. 40 indexed citations
13.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2016). A Single Database Scan Approach for Mining Temporally Similar Association Patterns. 1–6. 11 indexed citations
14.
Radhakrishna, Vangipuram, P. V. Kumar, V. Janaki, & Shadi Aljawarneh. (2016). A computationally efficient approach for temporal pattern mining in IoT. 1–4. 43 indexed citations
15.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2015). A Survey on Temporal Databases and Data mining. 1–6. 36 indexed citations
16.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2015). A novel approach to discover similar temporal association patterns in a single database scan. 38. 1–8. 26 indexed citations
17.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2015). An Approach for Mining Similarity Profiled Temporal Association Patterns Using Gaussian Based Dissimilarity Measure. 1–6. 45 indexed citations
18.
Radhakrishna, Vangipuram, P. V. Kumar, & V. Janaki. (2015). Retracted on September 10, 2025: A Temporal Pattern Mining Based Approach for Intrusion Detection Using Similarity Measure. 1–8. 18 indexed citations
19.
Kumar, P. V., et al.. (2012). An Efficient Risk Analysis using Modified Goal Risk Model. 22–24. 1 indexed citations

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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