Ranjan Satapathy
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Experimental and Cognitive Psychology
- Management Science and Operations Research
- Co-authors
- Erik CambriaIti ChaturvediSandro CavallariHaiyun PengDavid VilaresAmir HussainYang LiGianmarco Mengaldo
- Topics
- Topic Modeling (10 papers)Sentiment Analysis and Opinion Mining (9 papers)Advanced Text Analysis Techniques (8 papers)
- Partner nations
- SingaporeUnited KingdomAustralia
In The Last Decade
Ranjan Satapathy
21 papers receiving 407 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 315
- Computer Vision and Pattern Recognition 59
- Information Systems 56
- Experimental and Cognitive Psychology 53
- Management Science and Operations Research 32
Countries citing papers authored by Ranjan Satapathy
This map shows the geographic impact of Ranjan Satapathy'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 Ranjan Satapathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjan Satapathy more than expected).
Fields of papers citing papers by Ranjan Satapathy
This network shows the impact of papers produced by Ranjan Satapathy. 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 Ranjan Satapathy. The network helps show where Ranjan Satapathy may publish in the future.
Co-authorship network of co-authors of Ranjan Satapathy
This figure shows the co-authorship network connecting the top 25 collaborators of Ranjan Satapathy. A scholar is included among the top collaborators of Ranjan Satapathy 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 Ranjan Satapathy. Ranjan Satapathy 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 | 10 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 26 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 13 | |
| 16 | 12 | |
| 17 | 144 | |
| 18 | 60 | |
| 19 | 9 | |
| 20 | A Hybrid Approach Based Sentiment Extraction from Medical Context. | 6 |
About Ranjan Satapathy
Ranjan Satapathy is a scholar working on Artificial Intelligence, Management Science and Operations Research and General Social Sciences, having authored 25 papers that have together received 420 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (9 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (315 citations), Experimental and Cognitive Psychology (53 citations) and General Social Sciences (11 citations). Ranjan Satapathy has collaborated with scholars based in Singapore, United Kingdom and Australia. Frequent co-authors include Erik Cambria, Iti Chaturvedi, Sandro Cavallari, Haiyun Peng, David Vilares, Amir Hussain, Yang Li, Gianmarco Mengaldo, Suhang Wang and Rui Mao. Their work appears in journals such as Pattern Recognition Letters, Information Fusion and Artificial Intelligence Review.
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.