Manish Kumar
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Industrial and Manufacturing Engineering top 5%
- Computer Networks and Communications top 10%
- Aerospace Engineering
- Co-authors
- Elad H. KivelevitchSudhanshu MishraKelly CohenDevendra P. GargSushil Kumar SinghDilip Kumar ChoubeyVinay Kumar DhandhaniaVaibhav Shukla
- Topics
- Vehicle Routing Optimization Methods (11 papers)Image and Signal Denoising Methods (10 papers)Robotic Path Planning Algorithms (9 papers)
- Cited by
- Industrial and Manufacturing EngineeringHealth Information ManagementComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessFuel
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Manish Kumar
78 papers receiving 627 citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 163
- Computer Vision and Pattern Recognition 152
- Industrial and Manufacturing Engineering 143
- Computer Networks and Communications 129
- Aerospace Engineering 67
Countries citing papers authored by Manish Kumar
This map shows the geographic impact of Manish 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 Manish Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Kumar more than expected).
Fields of papers citing papers by Manish Kumar
This network shows the impact of papers produced by Manish 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 Manish Kumar. The network helps show where Manish Kumar may publish in the future.
Co-authorship network of co-authors of Manish Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Kumar. A scholar is included among the top collaborators of Manish 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 Manish Kumar. Manish Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 27 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 8 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Jaya-FLANN based adaptive filter for mixed noise suppression from ultrasound images | 7 |
About Manish Kumar
Manish Kumar is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 92 papers that have together received 651 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (11 papers), Image and Signal Denoising Methods (10 papers) and Robotic Path Planning Algorithms (9 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (143 citations), Health Information Management (37 citations) and Computer Vision and Pattern Recognition (152 citations). Manish Kumar has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Elad H. Kivelevitch, Sudhanshu Mishra, Kelly Cohen, Devendra P. Garg, Sushil Kumar Singh, Dilip Kumar Choubey, Vinay Kumar Dhandhania, Vaibhav Shukla, Sudhakar Tripathi and Nanhay Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Fuel.
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.