Madhabananda Das
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Software top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Saurabh BilgaiyanSantwana SagnikaPrabira Kumar SethyJanmenjoy NayakS. VimalRahul RoySung‐Bae ChoBighnaraj Naik
- Topics
- Software Engineering Research (5 papers)Software Engineering Techniques and Practices (5 papers)Software Reliability and Analysis Research (4 papers)
- Journals
- Wireless Personal CommunicationsInternational Journal of Information TechnologyJournal of Engineering Science and Technology Review
- Partner nations
- IndiaUnited KingdomSouth Korea
In The Last Decade
Madhabananda Das
24 papers receiving 239 citations
Peers
Comparison fields: 5 of 55
- Information Systems 181
- Computer Networks and Communications 102
- Software 55
- Artificial Intelligence 50
- Computer Vision and Pattern Recognition 30
Countries citing papers authored by Madhabananda Das
This map shows the geographic impact of Madhabananda Das'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 Madhabananda Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhabananda Das more than expected).
Fields of papers citing papers by Madhabananda Das
This network shows the impact of papers produced by Madhabananda Das. 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 Madhabananda Das. The network helps show where Madhabananda Das may publish in the future.
Co-authorship network of co-authors of Madhabananda Das
This figure shows the co-authorship network connecting the top 25 collaborators of Madhabananda Das. A scholar is included among the top collaborators of Madhabananda Das 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 Madhabananda Das. Madhabananda Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | 24 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 35 | |
| 11 | 32 | |
| 12 | 24 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 50 | |
| 16 | 19 | |
| 17 | MULTI-OBJECTIVE ARTIFICIAL BEE COLONY (MOABC) ALGORITHM TO IMPROVE CONTENT-BASED IMAGE RETRIEVAL PERFORMANCE | 1 |
| 18 | 3 | |
| 19 | 10 | |
| 20 | 7 |
About Madhabananda Das
Madhabananda Das is a scholar working on Software, Architecture and Information Systems, having authored 24 papers that have together received 263 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), Software Engineering Techniques and Practices (5 papers) and Software Reliability and Analysis Research (4 papers). The work is most often cited by research in Software (55 citations), Information Systems (181 citations) and Computer Networks and Communications (102 citations). Madhabananda Das has collaborated with scholars based in India, United Kingdom and South Korea. Frequent co-authors include Saurabh Bilgaiyan, Santwana Sagnika, Prabira Kumar Sethy, Janmenjoy Nayak, S. Vimal, Rahul Roy, Sung‐Bae Cho, Bighnaraj Naik, Satchidananda Dehuri and Manish Thakur. Their work appears in journals such as Wireless Personal Communications, International Journal of Information Technology and Journal of Engineering Science and Technology 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.