V. Deneshkumar

1.6k citations
11 papers · 113 · h-index 5

Impact in

Papers in

V. Deneshkumar

10 papers receiving 108 citations

Peers

V. Deneshkumar
Comparison fields: 5 of 67
  • Organizational Behavior and Human Resource Management 33
  • Physiology 48
  • Periodontics 8
  • Otorhinolaryngology 7
  • Health, Toxicology and Mutagenesis 15
Replace Ranjit Mohan Anjana with:
Ranjit Mohan Anjana India
Alicja Basiak-Rasała Poland
Jinli Liu China
Connor A. Emdin United States
Vladimir I. Starodubov Russia
Brandon Kenemer United States
Ana Cristina Mesquita Portugal
Sergey Konstantinovitch Vladimirov United States
Elke Pieper Germany
Chunxia Zhai China
V. Deneshkumar relative to Ranjit Mohan Anjana India Ranjit Mohan Anjana's profile →
Citations per field
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Ranjit Mohan Anjana · 1×
Citations per year

Countries citing papers authored by V. Deneshkumar

Since Specialization
Citations

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

Fields of papers citing papers by V. Deneshkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside V. Deneshkumar, 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 V. Deneshkumar Line = papers co-authored together V. Deneshkumar links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201743
2 201931
3
Identification of Outliers in Medical Diagnostic System Using Data Mining Techniques
201415
4 20229
5 20156
6 20224
7 20212
8 20251
9 20191
10 20131
11 20210

About V. Deneshkumar

V. Deneshkumar is a scholar working on Artificial Intelligence, Management Science and Operations Research, Physiology, Signal Processing and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 113 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (2 papers), Time Series Analysis and Forecasting (2 papers), Neural Networks and Applications (2 papers), Global Public Health Policies and Epidemiology (2 papers), Stock Market Forecasting Methods (2 papers), Cardiovascular Health and Risk Factors (1 paper), Artificial Intelligence in Healthcare (1 paper) and Culinary Culture and Tourism (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (33 citations), Physiology (48 citations), Periodontics (8 citations), Otorhinolaryngology (7 citations) and Health, Toxicology and Mutagenesis (15 citations). V. Deneshkumar has collaborated with scholars based in India, Saudi Arabia and Bangladesh. Frequent co-authors include Rizwan Suliankatchi Abdulkader, K. Senthamarai Kannan, Dhirendra Narain Sinha, Prakash C. Gupta, Rama Shankar Rath, Kathiresan Jeyashree, Krishna Kumar Aryal, Mohammad Mostafa Zaman, Khem Bahadur Karki and Naveen Agarwal. Their work appears in journals such as Nicotine & Tobacco Research, International Journal of Public Health, Journal of Patient Experience, Japanese Journal of Statistics and Data Science and Vision The Journal of Business Perspective.

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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