Arindam Mitra

45 total papers · 746 total citations
18 papers, 258 citations indexed

About

Arindam Mitra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Arindam Mitra has authored 18 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Arindam Mitra's work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (3 papers). Arindam Mitra is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (3 papers). Arindam Mitra collaborates with scholars based in United States, Canada and United Kingdom. Arindam Mitra's co-authors include Chitta Baral, Kuntal Kumar Pal, Pratyay Banerjee, Swaroop Mishra, Neeraj Varshney, Peter Clark, Ashwin Kalyan, Muthucumaru Maheswaran, Tejas Gokhale and Nguyen Vo and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and CERN Document Server (European Organization for Nuclear Research).

In The Last Decade

Arindam Mitra

16 papers receiving 244 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Arindam Mitra	234	61	38	14	10	18	258
Amir Kantor	177 0.8×	38 0.6×	47 1.2×	8 0.6×	21 2.1×	14	232
Qingyu Yin	214 0.9×	46 0.8×	41 1.1×	5 0.4×	4 0.4×	30	233
Arun Tejasvi Chaganty	179 0.8×	27 0.4×	31 0.8×	8 0.6×	11 1.1×	16	216
Yongduo Sui	177 0.8×	37 0.6×	41 1.1×	11 0.8×	12 1.2×	17	216
Andrej Risteski	155 0.7×	56 0.9×	17 0.4×	9 0.6×	7 0.7×	17	215
Sarah Zelikovitz	225 1.0×	45 0.7×	87 2.3×	7 0.5×	13 1.3×	21	272
Jinheon Baek	132 0.6×	37 0.6×	28 0.7×	6 0.4×	4 0.4×	19	178
Tim Vieira	227 1.0×	33 0.5×	39 1.0×	10 0.7×	6 0.6×	20	260
Maosong Sun	209 0.9×	28 0.5×	31 0.8×	6 0.4×	23 2.3×	16	231
Oyvind Tafjord	242 1.0×	77 1.3×	26 0.7×	11 0.8×	2 0.2×	16	266

Countries citing papers authored by Arindam Mitra

Since Specialization

Citations

This map shows the geographic impact of Arindam 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 Arindam Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arindam Mitra more than expected).

Fields of papers citing papers by Arindam Mitra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arindam 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 Arindam Mitra. The network helps show where Arindam Mitra may publish in the future.

Co-authorship network of co-authors of Arindam Mitra

This figure shows the co-authorship network connecting the top 25 collaborators of Arindam Mitra. A scholar is included among the top collaborators of Arindam 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 Arindam Mitra. Arindam Mitra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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