Mohit Jain
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Vijander SinghAsha RaniKim KirsnerMarilyn C. SmithRobert S. LockhartNikhil PachauriAlok Prakash MittalAnil Kumar Yadav
- Topics
- Metaheuristic Optimization Algorithms Research (4 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)Evolutionary Algorithms and Applications (3 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsDevelopmental and Educational Psychology
In The Last Decade
Mohit Jain
8 papers receiving 997 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 522
- Computational Theory and Mathematics 234
- Electrical and Electronic Engineering 205
- Cognitive Neuroscience 139
- Control and Systems Engineering 132
Countries citing papers authored by Mohit Jain
This map shows the geographic impact of Mohit Jain'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 Mohit Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohit Jain more than expected).
Fields of papers citing papers by Mohit Jain
This network shows the impact of papers produced by Mohit Jain. 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 Mohit Jain. The network helps show where Mohit Jain may publish in the future.
Co-authorship network of co-authors of Mohit Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Jain. A scholar is included among the top collaborators of Mohit Jain 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 Mohit Jain. Mohit Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | A novel nature-inspired algorithm for optimization: Squirrel search algorithmbreakdown → | 721 |
| 4 | 19 | |
| 5 | 98 | |
| 6 | 41 | |
| 7 | 5 | |
| 8 | Multigrade bitumen verses conventional bitumen | 1 |
| 9 | 159 |
About Mohit Jain
Mohit Jain is a scholar working on Otorhinolaryngology, Modeling and Simulation and Periodontics, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (522 citations), Computational Theory and Mathematics (234 citations) and Developmental and Educational Psychology (114 citations). Mohit Jain has collaborated with scholars based in India, Australia and Canada. Frequent co-authors include Vijander Singh, Asha Rani, Kim Kirsner, Marilyn C. Smith, Robert S. Lockhart, Nikhil Pachauri, Alok Prakash Mittal, Anil Kumar Yadav, Pawan Kumar Pathak and A. Murali Krishna. Their work appears in journals such as Swarm and Evolutionary Computation, Engineering Science and Technology an International Journal and Journal of Intelligent & Fuzzy Systems.
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.