Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Mandar Mitra'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 Mandar Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mandar Mitra more than expected).
This network shows the impact of papers produced by Mandar Mitra. 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 Mandar Mitra. The network helps show where Mandar Mitra may publish in the future.
Co-authorship network of co-authors of Mandar Mitra
This figure shows the co-authorship network connecting the top 25 collaborators of Mandar Mitra.
A scholar is included among the top collaborators of Mandar Mitra 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 Mandar Mitra. Mandar Mitra is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Mitra, Mandar, et al.. (2020). TREC 2020 NEWS Track Background Linking Task.. Text REtrieval Conference.1 indexed citations
Roy, Dwaipayan, et al.. (2014). Named Entity Recognition from Tweets.. LWA. 218–225.2 indexed citations
6.
Roy, Dwaipayan, et al.. (2013). A Simple Context Dependent Suggestion System.. Text REtrieval Conference.3 indexed citations
7.
Mitra, Mandar, et al.. (2013). ISI at the TREC 2013 Federated task.. Text REtrieval Conference.3 indexed citations
8.
Pal, Sukomal, et al.. (2012). Passage Retrieval for Tweet Contextualization at INEX 2012..3 indexed citations
9.
Mitra, Mandar, et al.. (2012). ISIS and NISIS: New bilingual dual-channel speech corpora for robust speaker recognition. UCL Discovery (University College London). 936–939.2 indexed citations
Mitra, Mandar, et al.. (2008). FIRE: Forum for Information Retrieval Evaluation. International Joint Conference on Natural Language Processing. 69.10 indexed citations
13.
Majumder, Prasenjit, et al.. (2007). Hungarian and Czech Stemming using YASS.. CLEF (Working Notes).5 indexed citations
Buckley, Chris, Amit Singhal, & Mandar Mitra. (1996). Using Query Zoning and Correlation Within SMART: TREC 5.. Text REtrieval Conference. 105–118.50 indexed citations
19.
Buckley, Chris, Amit Singhal, Mandar Mitra, & Gerard Salton. (1995). New Retrieval Approaches Using SMART: TREC 4.. Text REtrieval Conference. 25–48.228 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.