N. Komal Kumar

580 total citations
26 papers, 249 citations indexed

About

N. Komal Kumar is a scholar working on Health Information Management, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, N. Komal Kumar has authored 26 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health Information Management, 8 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in N. Komal Kumar's work include Artificial Intelligence in Healthcare (12 papers), Machine Learning in Healthcare (4 papers) and COVID-19 diagnosis using AI (3 papers). N. Komal Kumar is often cited by papers focused on Artificial Intelligence in Healthcare (12 papers), Machine Learning in Healthcare (4 papers) and COVID-19 diagnosis using AI (3 papers). N. Komal Kumar collaborates with scholars based in India, Ethiopia and South Korea. N. Komal Kumar's co-authors include Tsehay Admassu Assegie, Priyesh Patel, Sangeetha Ganesan, S. Siva Sathya, Ayodeji Olalekan Salau and Jeff Murugan and has published in prestigious journals such as MethodsX, Journal of Computational and Theoretical Nanoscience and TELKOMNIKA (Telecommunication Computing Electronics and Control).

In The Last Decade

N. Komal Kumar

20 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Komal Kumar India 10 120 115 38 25 17 26 249
Saloni Kumari India 2 167 1.4× 167 1.5× 32 0.8× 29 1.2× 9 0.5× 5 289
Pankaj Chittora India 3 139 1.2× 125 1.1× 22 0.6× 20 0.8× 10 0.6× 3 254
K. Shailaja India 7 65 0.5× 98 0.9× 38 1.0× 28 1.1× 21 1.2× 23 277
Eva Ignatious Australia 4 217 1.8× 152 1.3× 65 1.7× 35 1.4× 12 0.7× 6 389
Mohammad Moshawrab Canada 6 35 0.3× 114 1.0× 40 1.1× 23 0.9× 19 1.1× 10 245
Ali Raad Lebanon 6 35 0.3× 114 1.0× 40 1.1× 23 0.9× 23 1.4× 14 251
Anna Karen Gárate-Escamilla France 4 184 1.5× 124 1.1× 52 1.4× 28 1.1× 6 0.4× 8 274
Uma N. Dulhare India 6 77 0.6× 85 0.7× 18 0.5× 40 1.6× 12 0.7× 22 200
Shahana Shultana Bangladesh 3 244 2.0× 173 1.5× 72 1.9× 36 1.4× 13 0.8× 5 416
Abdullah M. Albarrak Saudi Arabia 7 50 0.4× 71 0.6× 20 0.5× 11 0.4× 25 1.5× 22 194

Countries citing papers authored by N. Komal Kumar

Since Specialization
Citations

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

Fields of papers citing papers by N. Komal Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Komal Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of N. Komal Kumar. A scholar is included among the top collaborators of N. Komal 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 N. Komal Kumar. N. Komal 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
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Assegie, Tsehay Admassu, et al.. (2024). Consistency, local stability, and approximation of Shapash explanation. TELKOMNIKA (Telecommunication Computing Electronics and Control). 22(3). 673–673.
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Assegie, Tsehay Admassu, et al.. (2024). Scalability and performance of decision tree for cardiovascular disease prediction. IAES International Journal of Artificial Intelligence. 13(3). 2540–2540. 1 indexed citations
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Kumar, N. Komal, et al.. (2024). Improving Cardiovascular Disease Prediction: Machine Learning and Cross-Fold Validation. 1–6. 1 indexed citations
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Assegie, Tsehay Admassu, et al.. (2023). Early Prediction of Gestational Diabetes with Parameter-Tuned K-Nearest Neighbor Classifier. Journal of Robotics and Control (JRC). 4(4). 452–457. 11 indexed citations
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Kumar, N. Komal, et al.. (2023). Early prediction of chronic heart disease with recursive feature elimination and supervised learning techniques. IAES International Journal of Artificial Intelligence. 13(1). 730–730. 2 indexed citations
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Assegie, Tsehay Admassu, et al.. (2022). An empirical study on machine learning algorithms for heart disease prediction. IAES International Journal of Artificial Intelligence. 11(3). 1066–1066. 34 indexed citations
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Assegie, Tsehay Admassu, et al.. (2022). Random forest and support vector machine based hybrid liver disease detection. Bulletin of Electrical Engineering and Informatics. 11(3). 1650–1656. 16 indexed citations
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Assegie, Tsehay Admassu, et al.. (2022). A hybrid approach to medical decision-making: diagnosis of heart disease with machine-learning model. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 12(2). 1831–1831. 22 indexed citations
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Kumar, N. Komal, et al.. (2020). Prediction of Chronic and Infectious Diseases using Machine Learning Classifiers- A Systematic Approach. International journal of intelligent engineering and systems. 13(4). 11–20. 16 indexed citations
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Kumar, N. Komal, et al.. (2020). An Efficient Tracking System for Air and Sound Pollution using IoT. 22–25. 8 indexed citations
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Kumar, N. Komal, et al.. (2020). Investigating dengue outbreak in Tamil Nadu, India. Indonesian Journal of Electrical Engineering and Computer Science. 18(1). 502–502. 1 indexed citations
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Kumar, N. Komal, et al.. (2020). An Efficient Dynamic Power Management of Household Energy Consumables. 11–14. 4 indexed citations
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Kumar, N. Komal, et al.. (2019). Machine Learning Tree Classifiers in Predicting Diabetes Mellitus. 84–87. 32 indexed citations
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Kumar, N. Komal, et al.. (2019). Hepatitis-Infectious Disease Prediction using Classification Algorithms. Research Journal of Pharmacy and Technology. 12(8). 3720–3720. 16 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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