Mausam Mausam
- Artificial Intelligence top 0.5%
- Information Systems top 1%
- Management Science and Operations Research top 2%
- Computer Science Applications top 1%
- Computer Networks and Communications top 5%
- Co-authors
- Oren EtzioniDaniel S. WeldAlan RitterStephen SoderlandNilesh DalviSumit SanghaiPedro DomingosDeepak Kumar Verma
- Topics
- Topic Modeling (45 papers)Natural Language Processing Techniques (32 papers)Mobile Crowdsensing and Crowdsourcing (11 papers)
- Cited by
- Artificial IntelligenceComputer Science ApplicationsManagement Science and Operations Research
- Journals
- Artificial Intelligencenpj Computational MaterialsJournal of Artificial Intelligence Research
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Mausam Mausam
74 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 2.1k
- Information Systems 558
- Management Science and Operations Research 343
- Computer Science Applications 343
- Computer Networks and Communications 339
Countries citing papers authored by Mausam Mausam
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 26 | |
| 10 | 5 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | Open information extraction systems and downstream applications | 86 |
| 16 | Contextual symmetries in probabilistic graphical models | 0 |
| 17 | ASAP-UCT: abstraction of state-action pairs in UCT | 12 |
| 18 | 81 | |
| 19 | Human intelligence needs artificial intelligence | 19 |
| 20 | 274 |
About Mausam Mausam
Mausam Mausam is a scholar working on Artificial Intelligence, Computer Science Applications and Computational Mathematics, having authored 81 papers that have together received 2.8k indexed citations. Recurring topics across this work include Topic Modeling (45 papers), Natural Language Processing Techniques (32 papers) and Mobile Crowdsensing and Crowdsourcing (11 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Computer Science Applications (343 citations) and Management Science and Operations Research (343 citations). Mausam Mausam has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Oren Etzioni, Daniel S. Weld, Alan Ritter, Stephen Soderland, Nilesh Dalvi, Sumit Sanghai, Pedro Domingos, Deepak Kumar Verma, Janara Christensen and Peng Dai. Their work appears in journals such as Artificial Intelligence, npj Computational Materials and Journal of Artificial Intelligence Research.
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.