P. V. Kumar

1.6k citations
44 papers · 1.3k · h-index 24

Impact in

    • Data Management and Algorithms
    • Time Series Analysis and Forecasting
    • Advanced Malware Detection Techniques
    • Data Mining Algorithms and Applications

Papers in

    • Data Mining Algorithms and Applications 28
    • Software Engineering Research 4
    • Software Engineering Techniques and Practices 4
    • Time Series Analysis and Forecasting 22
    • Data Management and Algorithms 18

P. V. Kumar

39 papers receiving 1.2k citations

Peers

P. V. Kumar
Comparison fields: 5 of 78
  • Signal Processing 605
  • Information Systems 671
  • Artificial Intelligence 593
  • Computer Networks and Communications 361
  • Computational Theory and Mathematics 214
Replace V. Janaki with:
V. Janaki India
Chien-Chung Chan United States
Yon Dohn Chung South Korea
C. J. Carmona Spain
Yulei Sui Australia
William Eberle United States
E Haihong China
Devrim Ünal Qatar
Francesco Moscato Italy
Khairul Akram Zainol Ariffin Malaysia
P. V. Kumar relative to V. Janaki India V. Janaki's profile →
Citations per field
00.5×1.5×
V. Janaki · 1×
Citations per year

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-authors

The 9 scholars most cited alongside P. V. Kumar, 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 P. V. Kumar Line = papers co-authored together P. V. Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016105
2 201775
3 201771
4 201662
5 201761
6 201760
7 201549
8 201747
9 201645
10 201645
11 201744
12 201844
13 201542
14 201642
15 201738
16 201836
17 201535
18 201635
19 201635
20 201831

About P. V. Kumar

P. V. Kumar is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (28 papers), Time Series Analysis and Forecasting (22 papers), Data Management and Algorithms (18 papers), Rough Sets and Fuzzy Logic (7 papers), Advanced Database Systems and Queries (5 papers), Anomaly Detection Techniques and Applications (5 papers), Software Engineering Research (4 papers) and Software Engineering Techniques and Practices (4 papers). The work is most often cited by research in Signal Processing (605 citations), Information Systems (671 citations), Artificial Intelligence (593 citations), Computer Networks and Communications (361 citations) and Computational Theory and Mathematics (214 citations). P. V. Kumar has collaborated with scholars based in India, Jordan and United States. Frequent co-authors include Vangipuram Radhakrishna, V. Janaki, Shadi Aljawarneh, Kim‐Kwang Raymond Choo, R. V. Krishnaiah, Aravind Cheruvu, N. Rajasekhar, Khalaf Khatatneh and Juan A. Lara. Their work appears in journals such as Multimedia Tools and Applications, Journal of Data and Information Quality, Future Generation Computer Systems, Foundations of Science and Computers & Electrical Engineering.

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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