Jon Saad-Falcon
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Algorithms and Data Compression
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
Papers in
-
- Topic Modeling 5
- Natural Language Processing Techniques 3
- Advanced Text Analysis Techniques 1
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- Multimodal Machine Learning Applications 2
- Video Analysis and Summarization 1
- Data Visualization and Analytics 1
- Co-authors
- Christopher Potts (4 shared papers)Omar Khattab (4 shared papers)Matei Zaharia (3 shared papers)Keshav Santhanam (3 shared papers)Martin Franz (2 shared papers)Omar Shaikh (1 shared paper)Mike D’Arcy (1 shared paper)Doug Downey (1 shared paper)
- Journals
- Proceedings of the 31st ACM International Conference on Information & Knowledge Management (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)
- Partner nations
- United States
In The Last Decade
Jon Saad-Falcon
9 papers receiving 156 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 127
- Computer Vision and Pattern Recognition 52
- Health Informatics 3
- Information Systems 35
- General Social Sciences 4
Countries citing papers authored by Jon Saad-Falcon
This map shows the geographic impact of Jon Saad-Falcon'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 Jon Saad-Falcon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Saad-Falcon more than expected).
Fields of papers citing papers by Jon Saad-Falcon
This network shows the impact of papers produced by Jon Saad-Falcon. 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 Jon Saad-Falcon. The network helps show where Jon Saad-Falcon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Saad-Falcon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 114 | |
| 2 | 2024 | 30 | |
| 3 | 2023 | 10 | |
| 4 | 2020 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2025 | 1 |
About Jon Saad-Falcon
Jon Saad-Falcon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 9 papers that have together received 170 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers), Multimodal Machine Learning Applications (2 papers), Advanced Text Analysis Techniques (1 paper), Video Analysis and Summarization (1 paper), Data Visualization and Analytics (1 paper), Misinformation and Its Impacts (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Artificial Intelligence (127 citations), Computer Vision and Pattern Recognition (52 citations), Health Informatics (3 citations), Information Systems (35 citations) and General Social Sciences (4 citations). Jon Saad-Falcon has collaborated with scholars based in United States. Frequent co-authors include Christopher Potts, Omar Khattab, Matei Zaharia, Keshav Santhanam, Martin Franz, Omar Shaikh, Mike D’Arcy, Doug Downey, Salim Roukos and Luca Soldaini. Their work appears in journals such as Proceedings of the 31st ACM International Conference on Information & Knowledge Management and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.