Mukesh Kumar
Impact in
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- Online Learning and Analytics
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- Artificial Intelligence in Healthcare
Papers in
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- Online Learning and Analytics 10
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- Artificial Intelligence in Healthcare 8
- Co-authors
- Bhisham Sharma (4 shared papers)Pitam Singh (4 shared papers)Hitendra Kumar Garg (2 shared papers)Arjun Singh (1 shared paper)Dhirendra Prasad Yadav (1 shared paper)Ashish Sharma (1 shared paper)Deepika Koundal (1 shared paper)Karan K Bajaj (1 shared paper)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (2 papers)Applied Geomatics (1 paper)Computer Communications (1 paper)Sustainability (1 paper)Big Data (1 paper)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Mukesh Kumar
51 papers receiving 634 citations
Peers
Comparison fields: 5 of 106
- Computer Science Applications 114
- Health Information Management 73
- Health Informatics 16
- Environmental Engineering 100
- Neurology 48
Countries citing papers authored by Mukesh Kumar
This map shows the geographic impact of Mukesh 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 Mukesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukesh Kumar more than expected).
Fields of papers citing papers by Mukesh Kumar
This network shows the impact of papers produced by Mukesh 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 Mukesh Kumar. The network helps show where Mukesh Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mukesh 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 105 | |
| 2 | 2022 | 72 | |
| 3 | 2021 | 70 | |
| 4 | 2017 | 56 | |
| 5 | 2017 | 54 | |
| 6 | 2023 | 47 | |
| 7 | 2021 | 36 | |
| 8 | 2022 | 33 | |
| 9 | 2022 | 23 | |
| 10 | 2022 | 22 | |
| 11 | 2021 | 13 | |
| 12 | 2017 | 12 | |
| 13 | Contrast Enhancement Techniques using Histogram Equalization: A Survey | 2014 | 12 |
| 14 | 2022 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2012 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2021 | 5 |
About Mukesh Kumar
Mukesh Kumar is a scholar working on Computer Science Applications, Health Information Management, Computer Networks and Communications, Artificial Intelligence and Environmental Engineering, having authored 64 papers that have together received 669 indexed citations. Recurring topics across this work include Online Learning and Analytics (10 papers), Artificial Intelligence in Healthcare (8 papers), Imbalanced Data Classification Techniques (6 papers), Groundwater and Watershed Analysis (5 papers), Flood Risk Assessment and Management (4 papers), COVID-19 diagnosis using AI (3 papers), Advanced Image Processing Techniques (3 papers) and Software System Performance and Reliability (3 papers). The work is most often cited by research in Computer Science Applications (114 citations), Health Information Management (73 citations), Health Informatics (16 citations), Environmental Engineering (100 citations) and Neurology (48 citations). Mukesh Kumar has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Bhisham Sharma, Pitam Singh, Hitendra Kumar Garg, Arjun Singh, Dhirendra Prasad Yadav, Ashish Sharma, Deepika Koundal, Karan K Bajaj, Saurabh Singhal and Gautam Srivastava. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Applied Geomatics, Computer Communications, Sustainability and Big Data.
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.