Mausam Mausam

4.9k total citations · 3 hit papers
81 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 81 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 12 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, Nilesh Dalvi, Sumit Sanghai, Pedro Domingos, Janara Christensen and Peng Dai and has published in prestigious journals such as Artificial Intelligence, npj Computational Materials and Journal of Artificial Intelligence Research.

In The Last Decade

Mausam Mausam

74 papers receiving 2.6k citations

Hit Papers

Adversarial classification 2004 2026 2011 2018 2004 2012 2022 100 200 300 400 500
What are hit papers?

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.

  1. Adversarial classification
    2004 519 citations Mausam Mausam et al. profile →
  2. Open domain event extraction from twitter
    2012 366 citations Mausam Mausam, Oren Etzioni et al. profile →
  3. MatSciBERT: A materials domain language model for text mining and information extraction
    2022 175 citations Mohd Zaki, N. M. Anoop Krishnan et al. npj Computational Materials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mausam Mausam India 25 2.1k 558 343 343 339 81 2.8k
Hang Li China 29 2.3k 1.1× 1.3k 2.4× 213 0.6× 207 0.6× 175 0.5× 83 3.3k
Praveen Paritosh United States 12 2.9k 1.4× 605 1.1× 641 1.9× 276 0.8× 152 0.4× 32 3.5k
Sen Wu China 19 1.3k 0.6× 535 1.0× 216 0.6× 73 0.2× 178 0.5× 81 2.0k
Qi Su China 21 1.3k 0.6× 403 0.7× 384 1.1× 78 0.2× 193 0.6× 137 1.9k
Haym Hirsh United States 25 1.6k 0.7× 1.2k 2.2× 176 0.5× 98 0.3× 364 1.1× 92 2.6k
Meng Jiang United States 31 2.2k 1.0× 1.2k 2.1× 180 0.5× 50 0.1× 554 1.6× 127 3.5k
Neil Zhenqiang Gong United States 32 2.4k 1.1× 993 1.8× 92 0.3× 93 0.3× 691 2.0× 93 3.2k
Tong Xu China 26 1.2k 0.5× 468 0.8× 158 0.5× 62 0.2× 113 0.3× 149 2.2k
Jinlan Fu China 15 2.1k 1.0× 439 0.8× 193 0.6× 88 0.3× 124 0.4× 28 2.9k

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

20 of 20 papers shown
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Zaki, Mohd, et al.. (2024). Reconstructing the materials tetrahedron: challenges in materials information extraction. Digital Discovery. 3(5). 1021–1037. 11 indexed citations
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Zaki, Mohd, et al.. (2023). DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. 13465–13483. 10 indexed citations
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Chakrabarti, Soumen, et al.. (2022). Joint Completion and Alignment of Multilingual Knowledge Graphs. 11922–11938. 5 indexed citations
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Zaki, Mohd, et al.. (2022). MatSciBERT: A materials domain language model for text mining and information extraction. npj Computational Materials. 8(1). 175 indexed citations breakdown →
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Tuli, Shreshth, et al.. (2022). TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis. Journal of Artificial Intelligence Research. 75. 1595–1631. 3 indexed citations
11.
Mausam, Mausam. (2016). Open information extraction systems and downstream applications. International Joint Conference on Artificial Intelligence. 4074–4077. 86 indexed citations
12.
Grover, Aditya, et al.. (2016). Contextual symmetries in probabilistic graphical models. International Joint Conference on Artificial Intelligence. 3560–3568.
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Madaan, Aman, et al.. (2016). Numerical Relation Extraction with Minimal Supervision. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 27 indexed citations
14.
Grover, Aditya, et al.. (2015). ASAP-UCT: abstraction of state-action pairs in UCT. International Conference on Artificial Intelligence. 1509–1515. 12 indexed citations
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Kolobov, Andrey, Mausam Mausam, & Daniel S. Weld. (2013). Joint Crowdsourcing of Multiple Tasks. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1. 36–37. 5 indexed citations
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Dai, Peng, Christopher H. Lin, Mausam Mausam, & Daniel S. Weld. (2013). POMDP-based control of workflows for crowdsourcing. Artificial Intelligence. 202. 52–85. 81 indexed citations
17.
Weld, Daniel S., Mausam Mausam, & Peng Dai. (2011). Human intelligence needs artificial intelligence. National Conference on Artificial Intelligence. 67–73. 19 indexed citations
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Etzioni, Oren, Anthony Fader, Janara Christensen, Stephen Soderland, & Mausam Mausam. (2011). Open information extraction: the second generation. International Joint Conference on Artificial Intelligence. 3–10. 274 indexed citations
19.
Soderland, Stephen, et al.. (2010). Adapting Open Information Extraction to Domain‐Specific Relations. AI Magazine. 31(3). 93–102. 45 indexed citations
20.
Kolobov, Andrey, Mausam Mausam, & Daniel S. Weld. (2010). SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs. Proceedings of the AAAI Conference on Artificial Intelligence. 24(1). 1108–1114. 17 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.

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