Geetha Sivaraman
- Management Science and Operations Research top 1%
- Control and Systems Engineering top 5%
- Statistics and Probability top 1%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Topics
- Multi-Criteria Decision Making (15 papers)Fuzzy Systems and Optimization (11 papers)Optimization and Mathematical Programming (10 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityControl and Systems Engineering
- Partner nations
- IndiaIrelandUnited Kingdom
In The Last Decade
Geetha Sivaraman
13 papers receiving 450 citations
Peers
Comparison fields: 5 of 53
- Management Science and Operations Research 459
- Control and Systems Engineering 311
- Statistics and Probability 264
- Artificial Intelligence 85
- Computational Theory and Mathematics 46
Countries citing papers authored by Geetha Sivaraman
This map shows the geographic impact of Geetha Sivaraman'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 Geetha Sivaraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geetha Sivaraman more than expected).
Fields of papers citing papers by Geetha Sivaraman
This network shows the impact of papers produced by Geetha Sivaraman. 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 Geetha Sivaraman. The network helps show where Geetha Sivaraman may publish in the future.
Co-authorship network of co-authors of Geetha Sivaraman
This figure shows the co-authorship network connecting the top 25 collaborators of Geetha Sivaraman. A scholar is included among the top collaborators of Geetha Sivaraman 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 Geetha Sivaraman. Geetha Sivaraman 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 | 1 | |
| 3 | 2 | |
| 4 | A novel distance measure on interval valued intuitionistic fuzzy numbers based on improved accuracy function and its application | 1 |
| 5 | 21 | |
| 6 | 0 | |
| 7 | 29 | |
| 8 | 12 | |
| 9 | 16 | |
| 10 | 24 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 99 | |
| 14 | 217 | |
| 15 | 0 | |
| 16 | 65 |
About Geetha Sivaraman
Geetha Sivaraman is a scholar working on Statistics and Probability, Management Science and Operations Research and Control and Systems Engineering, having authored 16 papers that have together received 495 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (15 papers), Fuzzy Systems and Optimization (11 papers) and Optimization and Mathematical Programming (10 papers). The work is most often cited by research in Management Science and Operations Research (459 citations), Statistics and Probability (264 citations) and Control and Systems Engineering (311 citations). Geetha Sivaraman has collaborated with scholars based in India, Ireland and United Kingdom. Frequent co-authors include V. Lakshmana Gomathi Nayagam, S. Muralikrishnan, S. Jeevaraj and R. Ponalagusamy. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing and Neural Computing and 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.