Afshin Rahimi
- Artificial Intelligence top 5%
- Sociology and Political Science
- Information Systems top 10%
- Statistical and Nonlinear Physics
- Transportation top 10%
- Co-authors
- Timothy BaldwinJey Han LauFajri KotoWalid MagdyKareem DarwishNorah AbokhodairTrevor CohnLeon Derczynski
- Topics
- Topic Modeling (9 papers)Natural Language Processing Techniques (4 papers)Misinformation and Its Impacts (3 papers)
- Partner nations
- AustraliaIranUnited States
In The Last Decade
Afshin Rahimi
18 papers receiving 353 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 259
- Sociology and Political Science 87
- Information Systems 84
- Statistical and Nonlinear Physics 37
- Transportation 35
Countries citing papers authored by Afshin Rahimi
This map shows the geographic impact of Afshin Rahimi'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 Afshin Rahimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afshin Rahimi more than expected).
Fields of papers citing papers by Afshin Rahimi
This network shows the impact of papers produced by Afshin Rahimi. 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 Afshin Rahimi. The network helps show where Afshin Rahimi may publish in the future.
Co-authorship network of co-authors of Afshin Rahimi
This figure shows the co-authorship network connecting the top 25 collaborators of Afshin Rahimi. A scholar is included among the top collaborators of Afshin Rahimi 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 Afshin Rahimi. Afshin Rahimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 140 | |
| 6 | 45 | |
| 7 | Does an LSTM forget more than a CNN? An empirical study of catastrophic forgetting in NLP | 10 |
| 8 | Multilingual NER Transfer for Low-resource Languages. | 4 |
| 9 | 29 | |
| 10 | 13 | |
| 11 | 16 | |
| 12 | Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text | 34 |
| 13 | 16 | |
| 14 | 41 | |
| 15 | Automatic Identification of Expressions of Locations in Tweet Messages using Conditional Random Fields | 1 |
| 16 | Hedges and Tweets : Certainty and Uncertainty in Epistemic Markers in Microblog Feeds | 1 |
| 17 | Phonostatistics of Persian Phonological System | 2 |
| 18 | 9 |
About Afshin Rahimi
Afshin Rahimi is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Geography, Planning and Development, having authored 18 papers that have together received 378 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Artificial Intelligence (259 citations), Geography, Planning and Development (29 citations) and Transportation (35 citations). Afshin Rahimi has collaborated with scholars based in Australia, Iran and United States. Frequent co-authors include Timothy Baldwin, Jey Han Lau, Fajri Koto, Timothy Baldwin, Walid Magdy, Kareem Darwish, Norah Abokhodair, Trevor Cohn, Leon Derczynski and Bo Han. Their work appears in journals such as Food Chemistry, Nonlinear Dynamics and Health Expectations.
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.