Tirthankar Ghosal
About
In The Last Decade
Tirthankar Ghosal
51 papers receiving 386 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 298
- Information Systems 163
- Sociology and Political Science 116
- Molecular Biology 29
- Statistics, Probability and Uncertainty 26
Countries citing papers authored by Tirthankar Ghosal
This map shows the geographic impact of Tirthankar Ghosal'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 Tirthankar Ghosal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tirthankar Ghosal more than expected).
Fields of papers citing papers by Tirthankar Ghosal
This network shows the impact of papers produced by Tirthankar Ghosal. 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 Tirthankar Ghosal. The network helps show where Tirthankar Ghosal may publish in the future.
Co-authorship network of co-authors of Tirthankar Ghosal
This figure shows the co-authorship network connecting the top 25 collaborators of Tirthankar Ghosal. A scholar is included among the top collaborators of Tirthankar Ghosal 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 Tirthankar Ghosal. Tirthankar Ghosal 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 29 | |
| 16 | 4 | |
| 17 | 18 | |
| 18 | 6 | |
| 19 | Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection | 10 |
| 20 | Document Level Novelty Detection: Textual Entailment Lends a Helping Hand | 4 |
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.