G. Kumar
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Network Security and Intrusion Detection 6
- Software System Performance and Reliability 2
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- Anomaly Detection Techniques and Applications 4
- Co-authors
- Vikas Dudeja (1 shared paper)Ravindra Mohan Pandey (1 shared paper)Anoop Misra (1 shared paper)Naval K. Vikram (1 shared paper)Vangipuram Radhakrishna (2 shared papers)N. Mangathayaru (3 shared papers)V. Janaki (1 shared paper)Shadi Aljawarneh (1 shared paper)
- Journals
- Journal of Hepatology (5 papers)British Journal of Dermatology (1 paper)British Journal of Radiology (1 paper)Andrologia (1 paper)Foundations of Science (1 paper)
- Partner nations
- IndiaMalaysiaUnited States
In The Last Decade
G. Kumar
22 papers receiving 557 citations
Peers
Comparison fields: 5 of 92
- Signal Processing 72
- Endocrinology, Diabetes and Metabolism 92
- Pharmacy 19
- Computer Networks and Communications 103
- Artificial Intelligence 119
Countries citing papers authored by G. Kumar
This map shows the geographic impact of G. 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 G. Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Kumar more than expected).
Fields of papers citing papers by G. Kumar
This network shows the impact of papers produced by G. 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 G. Kumar. The network helps show where G. Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 299 | |
| 2 | 2017 | 64 | |
| 3 | 2012 | 47 | |
| 4 | 2020 | 41 | |
| 5 | 2017 | 28 | |
| 6 | 2018 | 24 | |
| 7 | 2007 | 22 | |
| 8 | 2019 | 21 | |
| 9 | 1996 | 10 | |
| 10 | 2000 | 9 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 5 | |
| 13 | 2012 | 4 | |
| 14 | 2006 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2017 | 2 | |
| 17 | 2004 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2023 | 1 |
About G. Kumar
G. Kumar is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Pulmonary and Respiratory Medicine and Epidemiology, having authored 27 papers that have together received 596 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Malware Detection Techniques (4 papers), Electrolyte and hormonal disorders (3 papers), Liver Disease and Transplantation (3 papers), Demographic Trends and Gender Preferences (2 papers), Software System Performance and Reliability (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Signal Processing (72 citations), Endocrinology, Diabetes and Metabolism (92 citations), Pharmacy (19 citations), Computer Networks and Communications (103 citations) and Artificial Intelligence (119 citations). G. Kumar has collaborated with scholars based in India, Malaysia and United States. Frequent co-authors include Vikas Dudeja, Ravindra Mohan Pandey, Anoop Misra, Naval K. Vikram, Vangipuram Radhakrishna, N. Mangathayaru, V. Janaki, Shadi Aljawarneh, Norlisah Ramli and Amit Kumar Dinda. Their work appears in journals such as Journal of Hepatology, British Journal of Dermatology, British Journal of Radiology, Andrologia and Foundations of Science.
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.