Rasmita Rautray
- Artificial Intelligence top 5%
- Management Science and Operations Research top 10%
- Information Systems
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Rakesh Chandra BalabantarayRajashree DashRasmita DashManjog PadhyUmar Muhammad ModibboSubhranshu Sekhar TripathySujit BeborttaSubhransu Sekhar Dash
- Topics
- Topic Modeling (12 papers)Advanced Text Analysis Techniques (9 papers)Natural Language Processing Techniques (8 papers)
- Journals
- Applied Soft ComputingPhysica A Statistical Mechanics and its ApplicationsJournal of King Saud University - Computer and Information Sciences
- Partner nations
- IndiaSwitzerlandSingapore
In The Last Decade
Rasmita Rautray
22 papers receiving 264 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 216
- Management Science and Operations Research 54
- Information Systems 31
- Electrical and Electronic Engineering 31
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Rasmita Rautray
This map shows the geographic impact of Rasmita Rautray'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 Rasmita Rautray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasmita Rautray more than expected).
Fields of papers citing papers by Rasmita Rautray
This network shows the impact of papers produced by Rasmita Rautray. 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 Rasmita Rautray. The network helps show where Rasmita Rautray may publish in the future.
Co-authorship network of co-authors of Rasmita Rautray
This figure shows the co-authorship network connecting the top 25 collaborators of Rasmita Rautray. A scholar is included among the top collaborators of Rasmita Rautray 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 Rasmita Rautray. Rasmita Rautray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 50 | |
| 11 | 1 | |
| 12 | 23 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 63 | |
| 18 | 10 | |
| 19 | 59 | |
| 20 | 18 |
About Rasmita Rautray
Rasmita Rautray is a scholar working on Artificial Intelligence, Health Information Management and Management Science and Operations Research, having authored 24 papers that have together received 276 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Advanced Text Analysis Techniques (9 papers) and Natural Language Processing Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (216 citations), Management Science and Operations Research (54 citations) and Information Systems (31 citations). Rasmita Rautray has collaborated with scholars based in India, Switzerland and Singapore. Frequent co-authors include Rakesh Chandra Balabantaray, Rajashree Dash, Rasmita Dash, Manjog Padhy, Umar Muhammad Modibbo, Subhranshu Sekhar Tripathy, Sujit Bebortta and Subhransu Sekhar Dash. Their work appears in journals such as Applied Soft Computing, Physica A Statistical Mechanics and its Applications and Journal of King Saud University - Computer 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.