Nima Asadi
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
Papers in
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- Information Retrieval and Search Behavior 5
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- Topic Modeling 3
- Machine Learning and Algorithms 2
- Co-authors
- Jimmy Lin (7 shared papers)Jordan Boyd‐Graber (1 shared paper)Ke Zhai (1 shared paper)Arjen P. de Vries (1 shared paper)Ingrid R. Olson (4 shared papers)Zoran Obradović (6 shared papers)Donald Metzler (2 shared papers)Tamer Elsayed (2 shared papers)
- Journals
- Network Neuroscience (2 papers)Information Retrieval (1 paper)ACM Transactions on Information Systems (1 paper)Frontiers in Psychology (1 paper)IEEE Intelligent Systems (1 paper)
- Partner nations
- United StatesIranSweden
In The Last Decade
Nima Asadi
20 papers receiving 343 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 215
- Information Systems 129
- Signal Processing 60
- Computer Vision and Pattern Recognition 84
- General Social Sciences 13
Countries citing papers authored by Nima Asadi
This map shows the geographic impact of Nima Asadi'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 Nima Asadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nima Asadi more than expected).
Fields of papers citing papers by Nima Asadi
This network shows the impact of papers produced by Nima Asadi. 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 Nima Asadi. The network helps show where Nima Asadi may publish in the future.
Co-authors
The 20 scholars most cited alongside Nima Asadi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 86 | |
| 2 | 2013 | 59 | |
| 3 | 2013 | 51 | |
| 4 | 2013 | 26 | |
| 5 | 2012 | 19 | |
| 6 | 2011 | 19 | |
| 7 | 2012 | 18 | |
| 8 | 2018 | 15 | |
| 9 | 2018 | 14 | |
| 10 | 2022 | 11 | |
| 11 | Run-Time Monitoring of Timing Constraints: A Survey of Methods and Tools | 2013 | 8 |
| 12 | 2013 | 8 | |
| 13 | 2020 | 6 | |
| 14 | UMD and USC/ISI: TREC 2010 Web Track Experiments with Ivory | 2010 | 6 |
| 15 | 2017 | 6 | |
| 16 | 2008 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2022 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2018 | 1 |
About Nima Asadi
Nima Asadi is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 21 papers that have together received 366 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Network Security and Intrusion Detection (3 papers), Topic Modeling (3 papers), Functional Brain Connectivity Studies (3 papers), Data Quality and Management (2 papers), Machine Learning and Algorithms (2 papers) and Real-Time Systems Scheduling (2 papers). The work is most often cited by research in Artificial Intelligence (215 citations), Information Systems (129 citations), Signal Processing (60 citations), Computer Vision and Pattern Recognition (84 citations) and General Social Sciences (13 citations). Nima Asadi has collaborated with scholars based in United States, Iran and Sweden. Frequent co-authors include Jimmy Lin, Jordan Boyd‐Graber, Ke Zhai, Arjen P. de Vries, Ingrid R. Olson, Zoran Obradović, Donald Metzler, Tamer Elsayed, William Heyward Hampton and Aunshul Rege. Their work appears in journals such as Network Neuroscience, Information Retrieval, ACM Transactions on Information Systems, Frontiers in Psychology and IEEE Intelligent Systems.
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.