Pramod Kumar Singh
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Kusum Kumari BhartiAvadh KishorJoydip DharRajeev KumarAtulya K. NagarPradeepta Kumar SarangiJagdish Chand BansalKusum Deep
- Topics
- Metaheuristic Optimization Algorithms Research (12 papers)Advanced Clustering Algorithms Research (11 papers)Text and Document Classification Technologies (10 papers)
- Partner nations
- IndiaUnited KingdomSingapore
In The Last Decade
Pramod Kumar Singh
57 papers receiving 900 citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 573
- Information Systems 215
- Computer Vision and Pattern Recognition 182
- Computational Theory and Mathematics 138
- Computer Networks and Communications 79
Countries citing papers authored by Pramod Kumar Singh
This map shows the geographic impact of Pramod 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 Pramod 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 Pramod Kumar Singh more than expected).
Fields of papers citing papers by Pramod Kumar Singh
This network shows the impact of papers produced by Pramod 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 Pramod Kumar Singh. The network helps show where Pramod Kumar Singh may publish in the future.
Co-authorship network of co-authors of Pramod Kumar Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Pramod Kumar Singh. A scholar is included among the top collaborators of Pramod 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 Pramod Kumar Singh. Pramod 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 | 6 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 32 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 39 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 57 | |
| 15 | 11 | |
| 16 | 28 | |
| 17 | 129 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 2 |
About Pramod Kumar Singh
Pramod Kumar Singh is a scholar working on Artificial Intelligence, Horticulture and Information Systems, having authored 62 papers that have together received 948 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Advanced Clustering Algorithms Research (11 papers) and Text and Document Classification Technologies (10 papers). The work is most often cited by research in Artificial Intelligence (573 citations), Information Systems (215 citations) and Computer Vision and Pattern Recognition (182 citations). Pramod Kumar Singh has collaborated with scholars based in India, United Kingdom and Singapore. Frequent co-authors include Kusum Kumari Bharti, Avadh Kishor, Joydip Dhar, Rajeev Kumar, Atulya K. Nagar, Pradeepta Kumar Sarangi, Jagdish Chand Bansal, Kusum Deep, Ashok Kumar Sahoo and Millie Pant. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.
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.