Geetanjali Panda
- Computational Theory and Mathematics top 5%
- Statistics and Probability top 5%
- Control and Systems Engineering top 10%
- Management Science and Operations Research top 10%
- Numerical Analysis top 10%
- Co-authors
- Ajay Kumar BhurjeeSudarsan NandaShashi Kant MishraPankaj KumarUmesh GuptaDong QiuMohammad Esmael SameiKin Keung Lai
- Topics
- Advanced Optimization Algorithms Research (20 papers)Optimization and Mathematical Programming (13 papers)Optimization and Variational Analysis (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchInformation Sciences
In The Last Decade
Geetanjali Panda
34 papers receiving 259 citations
Peers
Comparison fields: 5 of 42
- Computational Theory and Mathematics 151
- Statistics and Probability 108
- Control and Systems Engineering 101
- Management Science and Operations Research 87
- Numerical Analysis 71
Countries citing papers authored by Geetanjali Panda
This map shows the geographic impact of Geetanjali Panda'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 Geetanjali Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geetanjali Panda more than expected).
Fields of papers citing papers by Geetanjali Panda
This network shows the impact of papers produced by Geetanjali Panda. 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 Geetanjali Panda. The network helps show where Geetanjali Panda may publish in the future.
Co-authorship network of co-authors of Geetanjali Panda
This figure shows the co-authorship network connecting the top 25 collaborators of Geetanjali Panda. A scholar is included among the top collaborators of Geetanjali Panda 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 Geetanjali Panda. Geetanjali Panda 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 13 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 13 | |
| 19 | 2 | |
| 20 | 1 |
About Geetanjali Panda
Geetanjali Panda is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Statistics and Probability, having authored 39 papers that have together received 268 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (20 papers), Optimization and Mathematical Programming (13 papers) and Optimization and Variational Analysis (10 papers). The work is most often cited by research in Numerical Analysis (71 citations), Statistics and Probability (108 citations) and Computational Theory and Mathematics (151 citations). Geetanjali Panda has collaborated with scholars based in India, China and Iran. Frequent co-authors include Ajay Kumar Bhurjee, Sudarsan Nanda, Shashi Kant Mishra, Pankaj Kumar, Umesh Gupta, Dong Qiu, Mohammad Esmael Samei and Kin Keung Lai. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Information Sciences.
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.