This map shows the geographic impact of A. Kumaran'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 A. Kumaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Kumaran more than expected).
This network shows the impact of papers produced by A. Kumaran. 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 A. Kumaran. The network helps show where A. Kumaran may publish in the future.
Co-authorship network of co-authors of A. Kumaran
This figure shows the co-authorship network connecting the top 25 collaborators of A. Kumaran.
A scholar is included among the top collaborators of A. Kumaran 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 A. Kumaran. A. Kumaran is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Saravanan, K, Monojit Choudhury, Raghavendra Udupa, & A. Kumaran. (2012). An Empirical Study of the Occurrence and Co-Occurrence of Named Entities in Natural Language Corpora. Language Resources and Evaluation. 3118–3125.2 indexed citations
4.
Kumaran, A., Sunil Kumar Jauhar, & Sumit Basu. (2012). Doodling: A Gaming Paradigm for Generating Language Data.. National Conference on Artificial Intelligence.1 indexed citations
5.
Zhang, Min, et al.. (2011). Report of NEWS 2011 Machine Transliteration Shared Task. Meeting of the Association for Computational Linguistics. 1–13.9 indexed citations
6.
Kumaran, A., Mitesh M. Khapra, & Haizhou Li. (2010). Whitepaper of NEWS 2010 Shared Task on Transliteration Mining. Meeting of the Association for Computational Linguistics. 29–38.13 indexed citations
7.
Li, Haizhou, A. Kumaran, Min Zhang, & Vladimir Pervouchine. (2010). Report of NEWS 2010 Transliteration Generation Shared Task. Meeting of the Association for Computational Linguistics. 1–11.17 indexed citations
8.
Khapra, Mitesh M., Raghavendra Udupa, A. Kumaran, & Pushpak Bhattacharyya. (2010). PR + RQ ≈ PQ : transliteration mining using bridge language. National Conference on Artificial Intelligence. 1346–1351.2 indexed citations
9.
Khapra, Mitesh M., Raghavendra Udupa, A. Kumaran, & Pushpak Bhattacharyya. (2010). PR + RQ ALMOST EQUAL TO PQ: Transliteration Mining Using Bridge Language.. National Conference on Artificial Intelligence.2 indexed citations
10.
Saravanan, K, Raghavendra Udupa, & A. Kumaran. (2010). Crosslingual Information Retrieval System Enhanced with Transliteration Generation and Mining. 26(8). 655–60.11 indexed citations
11.
Kumaran, A., Mitesh M. Khapra, & Haizhou Li. (2010). Report of NEWS 2010 Transliteration Mining Shared Task. Meeting of the Association for Computational Linguistics. 21–28.23 indexed citations
12.
Li, Haizhou, A. Kumaran, Min Zhang, & Vladimir Pervouchine. (2010). Whitepaper of NEWS 2010 Shared Task on Transliteration Generation. Meeting of the Association for Computational Linguistics. 12–20.11 indexed citations
13.
Khapra, Mitesh M., A. Kumaran, & Pushpak Bhattacharyya. (2010). Everybody loves a rich cousin: An empirical study of transliteration through bridge languages. North American Chapter of the Association for Computational Linguistics. 420–428.12 indexed citations
14.
Li, Haizhou & A. Kumaran. (2009). Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration.4 indexed citations
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.