Jayshree Sarma
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Genetics
- Sociology and Political Science
- Co-authors
- Kenneth De JongK. De Jong
- Topics
- Evolutionary Algorithms and Applications (4 papers)Metaheuristic Optimization Algorithms Research (4 papers)Advanced Multi-Objective Optimization Algorithms (4 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Networks and Communications
- Journals
- international conference on Genetic algorithmsGenetic and Evolutionary Computation Conference
- Partner nations
- United States
In The Last Decade
Jayshree Sarma
5 papers receiving 105 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 87
- Computational Theory and Mathematics 41
- Computer Networks and Communications 19
- Genetics 18
- Sociology and Political Science 10
Countries citing papers authored by Jayshree Sarma
This map shows the geographic impact of Jayshree Sarma'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 Jayshree Sarma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayshree Sarma more than expected).
Fields of papers citing papers by Jayshree Sarma
This network shows the impact of papers produced by Jayshree Sarma. 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 Jayshree Sarma. The network helps show where Jayshree Sarma may publish in the future.
Co-authorship network of co-authors of Jayshree Sarma
This figure shows the co-authorship network connecting the top 25 collaborators of Jayshree Sarma. A scholar is included among the top collaborators of Jayshree Sarma 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 Jayshree Sarma. Jayshree Sarma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | The behavior of spatially distributed evolutionary algorithms in non-stationary environments | 10 |
| 3 | An analysis of decentralized and spatially distributed genetic algorithms | 18 |
| 4 | An Analysis of Local Selection Algorithms in a Spatially Structured Evolutionary Algorithm. | 42 |
| 5 | On Decentralizing Selection Algorithms | 45 |
About Jayshree Sarma
Jayshree Sarma is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Infectious Diseases, having authored 5 papers that have together received 120 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (87 citations), Computational Theory and Mathematics (41 citations) and Computer Networks and Communications (19 citations). Jayshree Sarma has collaborated with scholars based in United States. Frequent co-authors include Kenneth De Jong and K. De Jong. Their work appears in journals such as international conference on Genetic algorithms and Genetic and Evolutionary Computation Conference.
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.