Mukesh Kumar
Impact in
-
- Online Learning and Analytics
-
- Artificial Intelligence in Healthcare
Papers in
-
- Software System Performance and Reliability 4
-
- Imbalanced Data Classification Techniques 5
- Co-authors
- Bhisham Sharma (4 shared papers)Arjun Singh (3 shared papers)Pitam Singh (4 shared papers)Hitendra Garg (2 shared papers)Karan Bajaj (1 shared paper)Dhirendra Prasad Yadav (1 shared paper)Deepika Koundal (1 shared paper)Ashish Sharma (1 shared paper)
In The Last Decade
Mukesh Kumar
39 papers receiving 548 citations
Peers
Comparison fields: 5 of 104
- Computer Science Applications 111
- Health Information Management 74
- Health Informatics 19
- Environmental Engineering 84
- Information Systems 130
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 89 | |
| 2 | 2021 | 67 | |
| 3 | 2022 | 62 | |
| 4 | 2017 | 48 | |
| 5 | 2017 | 45 | |
| 6 | 2023 | 40 | |
| 7 | 2021 | 32 | |
| 8 | 2022 | 29 | |
| 9 | 2022 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2020 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 12 | |
| 14 | Contrast Enhancement Techniques using Histogram Equalization: A Survey | 2014 | 11 |
| 15 | 2020 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2012 | 6 | |
| 20 | 2020 | 6 |
About Mukesh Kumar
Mukesh Kumar is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Science Applications, Information Systems and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 584 indexed citations. Recurring topics across this work include Online Learning and Analytics (9 papers), Artificial Intelligence in Healthcare (5 papers), Imbalanced Data Classification Techniques (5 papers), Groundwater and Watershed Analysis (5 papers), Flood Risk Assessment and Management (4 papers), Software System Performance and Reliability (4 papers), Advanced Image Processing Techniques (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Computer Science Applications (111 citations), Health Information Management (74 citations), Health Informatics (19 citations), Environmental Engineering (84 citations) and Information Systems (130 citations). Mukesh Kumar has collaborated with scholars based in India, Canada and Indonesia. Frequent co-authors include Bhisham Sharma, Arjun Singh, Pitam Singh, Hitendra Garg, Karan Bajaj, Dhirendra Prasad Yadav, Deepika Koundal, Ashish Sharma, Gautam Srivastava and Saurabh Singhal. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Big Data, Computer Communications, Ecological Informatics and Geocarto International.
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.