Sandeep Kumar
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Modeling and Simulation top 2%
- Co-authors
- Ramesh Chandra PooniaVijander SinghRajani KumariLinesh RajaVaibhav BhatnagarVivek Kumar SharmaPranav DassPankaj Agarwal
- Topics
- Metaheuristic Optimization Algorithms Research (28 papers)Evolutionary Algorithms and Applications (19 papers)Advanced Multi-Objective Optimization Algorithms (11 papers)
- Journals
- IEEE AccessJournal of Materials SciencePhysica A Statistical Mechanics and its Applications
- Partner nations
- IndiaVietnamSaudi Arabia
In The Last Decade
Sandeep Kumar
122 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 160
- Artificial Intelligence 436
- Computer Networks and Communications 205
- Computer Vision and Pattern Recognition 160
- Electrical and Electronic Engineering 158
- Modeling and Simulation 147
Countries citing papers authored by Sandeep Kumar
This map shows the geographic impact of Sandeep 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 Sandeep Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Kumar more than expected).
Fields of papers citing papers by Sandeep Kumar
This network shows the impact of papers produced by Sandeep 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 Sandeep Kumar. The network helps show where Sandeep Kumar may publish in the future.
Co-authorship network of co-authors of Sandeep Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Kumar. A scholar is included among the top collaborators of Sandeep 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 Sandeep Kumar. Sandeep 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 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 47 | |
| 14 | 35 | |
| 15 | 9 | |
| 16 | 24 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | Content Analysis Of Central Universities Library Websites Of Central Region Of India: A Survey | 2 |
| 20 | Modeling of Fluid-Driven Fractures Using XFEM | 0 |
About Sandeep Kumar
Sandeep Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software, having authored 141 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (28 papers), Evolutionary Algorithms and Applications (19 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). The work is most often cited by research in Modeling and Simulation (147 citations), Artificial Intelligence (436 citations) and Computer Networks and Communications (205 citations). Sandeep Kumar has collaborated with scholars based in India, Vietnam and Saudi Arabia. Frequent co-authors include Ramesh Chandra Poonia, Vijander Singh, Rajani Kumari, Linesh Raja, Vaibhav Bhatnagar, Vivek Kumar Sharma, Pranav Dass, Pankaj Agarwal, Anand Nayyar and Harish Sharma. Their work appears in journals such as IEEE Access, Journal of Materials Science and Physica A Statistical Mechanics and its Applications.
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.