Samira Abnar
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
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- Innovative Teaching and Learning Methods
Papers in
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- Topic Modeling 6
- Natural Language Processing Techniques 4
- Authorship Attribution and Profiling 2
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- Spam and Phishing Detection 1
- Co-authors
- Fattaneh Taghiyareh (1 shared paper)Mostafa Dehghani (6 shared papers)Willem Zuidema (1 shared paper)Lisa Beinborn (1 shared paper)Donald Metzler (2 shared papers)Jinfeng Rao (2 shared papers)Yi Tay (2 shared papers)Azadeh Shakery (3 shared papers)
- Journals
- Lecture notes in computer science (2 papers)CLEF (Working Notes) (1 paper)UvA-DARE (University of Amsterdam) (2 papers)
- Partner nations
- NetherlandsIranUnited States
In The Last Decade
Samira Abnar
10 papers receiving 124 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 83
- Developmental and Educational Psychology 23
- Computer Science Applications 9
- Communication 8
- Computer Vision and Pattern Recognition 17
Countries citing papers authored by Samira Abnar
This map shows the geographic impact of Samira Abnar'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 Samira Abnar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samira Abnar more than expected).
Fields of papers citing papers by Samira Abnar
This network shows the impact of papers produced by Samira Abnar. 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 Samira Abnar. The network helps show where Samira Abnar may publish in the future.
Co-authors
The 25 scholars most cited alongside Samira Abnar, 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 | 2012 | 33 | |
| 2 | 2019 | 25 | |
| 3 | 2023 | 23 | |
| 4 | Long Range Arena : A Benchmark for Efficient Transformers | 2021 | 15 |
| 5 | 2020 | 9 | |
| 6 | 2014 | 8 | |
| 7 | Expanded N-Grams for Semantic Text Alignment Notebook for PAN at CLEF 2014. | 2014 | 7 |
| 8 | 2015 | 4 | |
| 9 | 2016 | 3 | |
| 10 | 2022 | 1 |
About Samira Abnar
Samira Abnar is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Communication and Molecular Biology, having authored 10 papers that have together received 128 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers), Authorship Attribution and Profiling (2 papers), Multimodal Machine Learning Applications (2 papers), Spam and Phishing Detection (1 paper), Online and Blended Learning (1 paper), Wikis in Education and Collaboration (1 paper) and Names, Identity, and Discrimination Research (1 paper). The work is most often cited by research in Artificial Intelligence (83 citations), Developmental and Educational Psychology (23 citations), Computer Science Applications (9 citations), Communication (8 citations) and Computer Vision and Pattern Recognition (17 citations). Samira Abnar has collaborated with scholars based in Netherlands, Iran and United States. Frequent co-authors include Fattaneh Taghiyareh, Mostafa Dehghani, Willem Zuidema, Lisa Beinborn, Donald Metzler, Jinfeng Rao, Yi Tay, Azadeh Shakery, Ekaterina Shutova and Hamed Zamani. Their work appears in journals such as Lecture notes in computer science, CLEF (Working Notes) and UvA-DARE (University of Amsterdam).
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.