V. Deneshkumar

1.6k total citations
11 papers, 113 citations indexed

About

V. Deneshkumar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Physiology. According to data from OpenAlex, V. Deneshkumar has authored 11 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 3 papers in Physiology. Recurrent topics in V. Deneshkumar's work include Neural Networks and Applications (2 papers), Stock Market Forecasting Methods (2 papers) and Time Series Analysis and Forecasting (2 papers). V. Deneshkumar is often cited by papers focused on Neural Networks and Applications (2 papers), Stock Market Forecasting Methods (2 papers) and Time Series Analysis and Forecasting (2 papers). V. Deneshkumar collaborates with scholars based in India, Saudi Arabia and Nepal. V. Deneshkumar's co-authors include Rizwan Suliankatchi Abdulkader, K. Senthamarai Kannan, Prakash C. Gupta, Rama Shankar Rath, Dhirendra Narain Sinha, Kathiresan Jeyashree, Krishna Kumar Aryal, Mohammad Mostafa Zaman, Khem Bahadur Karki and Naveen Agarwal and has published in prestigious journals such as Nicotine & Tobacco Research, International Journal of Public Health and Vision The Journal of Business Perspective.

In The Last Decade

V. Deneshkumar

10 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Deneshkumar India 5 48 33 15 13 13 11 113
Yasir Syed United Kingdom 4 24 0.5× 6 0.2× 11 0.7× 19 1.5× 2 0.2× 6 169
Alessio Lachi Italy 6 35 0.7× 4 0.1× 11 0.7× 5 0.4× 3 0.2× 16 102
Alicja Basiak-Rasała Poland 9 49 1.0× 4 0.1× 9 0.6× 23 1.8× 2 0.2× 27 163
Chunxia Zhai China 5 23 0.5× 7 0.2× 25 1.7× 15 1.2× 10 87
Jinli Liu Australia 2 11 0.2× 18 0.5× 7 0.5× 8 0.6× 4 128
Kevin Mortimer United Kingdom 5 59 1.2× 7 0.2× 5 0.3× 14 1.1× 10 120
Zoe Valero-Ramón Spain 4 11 0.2× 4 0.1× 3 0.2× 15 1.2× 18 1.4× 11 117
Yecheng Yao China 8 25 0.5× 4 0.1× 9 0.6× 11 0.8× 2 0.2× 13 176
Sergey Konstantinovitch Vladimirov United States 2 12 0.3× 16 0.5× 6 0.4× 18 1.4× 1 0.1× 4 85
Brandon Kenemer United States 6 106 2.2× 6 0.2× 41 2.7× 8 0.6× 6 137

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-authorship network of co-authors of V. Deneshkumar

This figure shows the co-authorship network connecting the top 25 collaborators of V. Deneshkumar. A scholar is included among the top collaborators of V. Deneshkumar 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 V. Deneshkumar. V. Deneshkumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Kumar, C. Satheesh, et al.. (2025). On alpha generalized Kies model and its applications in cancer data sets. Japanese Journal of Statistics and Data Science. 8(1). 539–557. 1 indexed citations
2.
Abdulkader, Rizwan Suliankatchi, Kathiresan Jeyashree, Vivek Kumar, K. Senthamarai Kannan, & V. Deneshkumar. (2022). Online Food Delivery System in India: Profile of Restaurants and Nutritional Value of Food Items. Vision The Journal of Business Perspective. 4 indexed citations
3.
Abdulkader, Rizwan Suliankatchi, et al.. (2022). The Intricate Relationship Between Client Perceptions of Physician Empathy and Physician Self-Assessment: Lessons for Reforming Clinical Practice. Journal of Patient Experience. 9. 662586913–662586913. 9 indexed citations
5.
Kannan, K. Senthamarai, et al.. (2021). SARIMA Model for Forecasting Price Indices Fluctuations. 2(6). 1–6. 2 indexed citations
6.
Selvakumar, Praveen Kumar Conjeevaram, et al.. (2019). Non Infective Cough in Immediate Post Cardiac Surgery Patients. 4(4). 1 indexed citations
7.
Abdulkader, Rizwan Suliankatchi, Dhirendra Narain Sinha, Kathiresan Jeyashree, et al.. (2019). Trends in tobacco consumption in India 1987–2016: impact of the World Health Organization Framework Convention on Tobacco Control. International Journal of Public Health. 64(6). 841–851. 31 indexed citations
8.
Abdulkader, Rizwan Suliankatchi, Dhirendra Narain Sinha, Rama Shankar Rath, et al.. (2017). Smokeless Tobacco Use is “Replacing” the Smoking Epidemic in the South-East Asia Region. Nicotine & Tobacco Research. 21(1). 95–100. 43 indexed citations
9.
Deneshkumar, V., et al.. (2015). Designing of Neural Network Models for Agricultural Forecasting. Journal of Statistics and Management Systems. 18(6). 547–559. 6 indexed citations
10.
Deneshkumar, V., et al.. (2014). Identification of Outliers in Medical Diagnostic System Using Data Mining Techniques. 4(6). 241–248. 15 indexed citations
11.
Kannan, K. Senthamarai, et al.. (2013). A Comparative Study on FFNN and ARIMA Model in the Presence of Outliers. International Journal of Computer Applications. 76(17). 12–18. 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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