Rangan Majumder
About
In The Last Decade
Rangan Majumder
5 papers receiving 208 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 210
- Computer Vision and Pattern Recognition 86
- Information Systems 32
- Molecular Biology 7
- Sociology and Political Science 7
Countries citing papers authored by Rangan Majumder
This map shows the geographic impact of Rangan Majumder'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 Rangan Majumder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rangan Majumder more than expected).
Fields of papers citing papers by Rangan Majumder
This network shows the impact of papers produced by Rangan Majumder. 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 Rangan Majumder. The network helps show where Rangan Majumder may publish in the future.
Co-authorship network of co-authors of Rangan Majumder
This figure shows the co-authorship network connecting the top 25 collaborators of Rangan Majumder. A scholar is included among the top collaborators of Rangan Majumder 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 Rangan Majumder. Rangan Majumder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 22 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. | 166 |
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.