Manoj Kumar Singh
- Media Technology top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Atmospheric Science
- Electrical and Electronic Engineering
- Co-authors
- Brajesh KumarOnkar DikshitAnanjan BasuTanmoy SomNeha SharmaP. V. RaoSushil Kumar YadavVivek Kumar Singh
- Topics
- Evolutionary Algorithms and Applications (4 papers)Microwave Engineering and Waveguides (4 papers)Remote Sensing and Land Use (4 papers)
- Journals
- IEEE AccessInternational Journal of Remote SensingJournal of Ambient Intelligence and Humanized Computing
- Partner nations
- IndiaUnited StatesEthiopia
In The Last Decade
Manoj Kumar Singh
35 papers receiving 358 citations
Peers
Comparison fields: 5 of 73
- Media Technology 132
- Artificial Intelligence 98
- Computer Vision and Pattern Recognition 87
- Atmospheric Science 67
- Electrical and Electronic Engineering 55
Countries citing papers authored by Manoj Kumar Singh
This map shows the geographic impact of Manoj Kumar Singh'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 Manoj Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj Kumar Singh more than expected).
Fields of papers citing papers by Manoj Kumar Singh
This network shows the impact of papers produced by Manoj Kumar Singh. 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 Manoj Kumar Singh. The network helps show where Manoj Kumar Singh may publish in the future.
Co-authorship network of co-authors of Manoj Kumar Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Kumar Singh. A scholar is included among the top collaborators of Manoj Kumar Singh 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 Manoj Kumar Singh. Manoj Kumar Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 147 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | A Review on Face Recognition Algorithms | 3 |
| 9 | 17 | |
| 10 | ASBO BASED COMPOSITIONAL OPTIMIZATION IN COMBINATORIAL CATALYST | 2 |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 18 | |
| 17 | 2 | |
| 18 | Modeling and design of evolutionary neural network for heart disease detection | 39 |
| 19 | 0 | |
| 20 | 12 |
About Manoj Kumar Singh
Manoj Kumar Singh is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 39 papers that have together received 395 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (4 papers), Microwave Engineering and Waveguides (4 papers) and Remote Sensing and Land Use (4 papers). The work is most often cited by research in Media Technology (132 citations), Health Information Management (31 citations) and Computer Vision and Pattern Recognition (87 citations). Manoj Kumar Singh has collaborated with scholars based in India, United States and Ethiopia. Frequent co-authors include Brajesh Kumar, Onkar Dikshit, Ananjan Basu, Tanmoy Som, Neha Sharma, P. V. Rao, Sushil Kumar Yadav, Vivek Kumar Singh, Swati Nigam and Rajiv Singh. Their work appears in journals such as IEEE Access, International Journal of Remote Sensing and Journal of Ambient Intelligence and Humanized Computing.
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.