Mausam Mausam

149 total papers · 4.8k total citations
80 papers, 2.8k citations indexed

About

Mausam Mausam is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Mausam Mausam has authored 80 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Management Science and Operations Research. Recurrent topics in Mausam Mausam's work include Topic Modeling (45 papers), Natural Language Processing Techniques (32 papers) and Mobile Crowdsensing and Crowdsourcing (11 papers). Mausam Mausam is often cited by papers focused on Topic Modeling (45 papers), Natural Language Processing Techniques (32 papers) and Mobile Crowdsensing and Crowdsourcing (11 papers). Mausam Mausam collaborates with scholars based in India, United States and United Kingdom. Mausam Mausam's co-authors include Oren Etzioni, Daniel S. Weld, Alan Ritter, Stephen Soderland, Deepak Kumar Verma, Sumit Sanghai, Nilesh Dalvi, Pedro Domingos, Janara Christensen and Peng Dai and has published in prestigious journals such as Artificial Intelligence, Journal of Artificial Intelligence Research and npj Computational Materials.

In The Last Decade

Mausam Mausam

72 papers receiving 2.6k citations

Hit Papers

Adversarial classification 2004 2026 2011 2018 2004 2012 2022 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Mausam Mausam 2.1k 557 343 341 338 80 2.8k
Hang Li 2.3k 1.1× 1.3k 2.4× 206 0.6× 213 0.6× 172 0.5× 82 3.2k
Kuansan Wang 1.9k 0.9× 948 1.7× 98 0.3× 238 0.7× 200 0.6× 65 3.1k
Qi Li 1.9k 0.9× 481 0.9× 739 2.2× 310 0.9× 119 0.4× 109 2.6k
Cuiping Li 1.1k 0.5× 672 1.2× 84 0.2× 259 0.8× 348 1.0× 119 2.1k
Praveen Paritosh 2.9k 1.4× 605 1.1× 274 0.8× 636 1.9× 152 0.4× 32 3.5k
Gjergji Kasneci 1.3k 0.6× 469 0.8× 77 0.2× 247 0.7× 257 0.8× 58 2.0k
Haym Hirsh 1.6k 0.7× 1.2k 2.2× 100 0.3× 179 0.5× 365 1.1× 93 2.6k
Prem Melville 1.7k 0.8× 1.0k 1.8× 175 0.5× 212 0.6× 225 0.7× 40 2.7k
Heng Ji 4.0k 1.9× 786 1.4× 197 0.6× 579 1.7× 115 0.3× 162 4.6k
Yang Song 1.2k 0.5× 1.4k 2.5× 148 0.4× 196 0.6× 199 0.6× 62 2.2k

Countries citing papers authored by Mausam Mausam

Since Specialization
Citations

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

Fields of papers citing papers by Mausam Mausam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mausam Mausam

This figure shows the co-authorship network connecting the top 25 collaborators of Mausam Mausam. A scholar is included among the top collaborators of Mausam Mausam 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 Mausam Mausam. Mausam Mausam 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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