Archana Sarangi
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Signal Processing
- Co-authors
- Debahuti MishraRutuparna PandaMuhammad Fazal IjazJana ShafiParvathaneni Naga SrinivasuPradeep Kumar MallickSasmita PadhyBijay Ketan Panigrahi
- Topics
- Metaheuristic Optimization Algorithms Research (9 papers)Evolutionary Algorithms and Applications (7 papers)Artificial Intelligence in Healthcare (4 papers)
- Journals
- Applied Soft ComputingMultimedia Tools and ApplicationsJournal of King Saud University - Computer and Information Sciences
- Partner nations
- IndiaSaudi ArabiaSouth Korea
In The Last Decade
Archana Sarangi
21 papers receiving 231 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 118
- Computer Vision and Pattern Recognition 43
- Electrical and Electronic Engineering 36
- Control and Systems Engineering 32
- Signal Processing 29
Countries citing papers authored by Archana Sarangi
This map shows the geographic impact of Archana Sarangi'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 Archana Sarangi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Sarangi more than expected).
Fields of papers citing papers by Archana Sarangi
This network shows the impact of papers produced by Archana Sarangi. 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 Archana Sarangi. The network helps show where Archana Sarangi may publish in the future.
Co-authorship network of co-authors of Archana Sarangi
This figure shows the co-authorship network connecting the top 25 collaborators of Archana Sarangi. A scholar is included among the top collaborators of Archana Sarangi 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 Archana Sarangi. Archana Sarangi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 46 | |
| 4 | 28 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 37 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 21 | |
| 15 | 9 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 29 | |
| 19 | 14 | |
| 20 | 1 |
About Archana Sarangi
Archana Sarangi is a scholar working on Health Information Management, Artificial Intelligence and Control and Systems Engineering, having authored 22 papers that have together received 244 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (7 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Information Management (27 citations), Artificial Intelligence (118 citations) and Signal Processing (29 citations). Archana Sarangi has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include Debahuti Mishra, Rutuparna Panda, Muhammad Fazal Ijaz, Jana Shafi, Parvathaneni Naga Srinivasu, Pradeep Kumar Mallick, Sasmita Padhy, Bijay Ketan Panigrahi, Abhishek Das and Mihir Narayan Mohanty. Their work appears in journals such as Applied Soft Computing, Multimedia Tools and 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.