Javid Ebrahimi
Impact in
- Artificial Intelligence top 2%
- Adversarial Robustness in Machine Learning
- Topic Modeling
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Topic Modeling 5
- Sentiment Analysis and Opinion Mining 3
- Advanced Text Analysis Techniques 3
- Natural Language Processing Techniques 3
- Adversarial Robustness in Machine Learning 2
- Text and Document Classification Technologies 2
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- Complex Network Analysis Techniques 4
- Co-authors
- Daniel Lowd (5 shared papers)Anyi Rao (2 shared papers)Dejing Dou (4 shared papers)Dejing Dou (6 shared papers)Amir Pouran Ben Veyseh (2 shared papers)NhatHai Phan (3 shared papers)Wei Zhang (1 shared paper)Mohammad Saniee Abadeh (1 shared paper)
- Journals
- IEEE Intelligent Systems (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)International Conference on Computational Linguistics (1 paper)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIranPoland
In The Last Decade
Javid Ebrahimi
14 papers receiving 661 citations
Javid Ebrahimi's Hit Papers
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 622
- Signal Processing 151
- Information Systems 83
- Software 14
- Computer Vision and Pattern Recognition 64
Countries citing papers authored by Javid Ebrahimi
This map shows the geographic impact of Javid Ebrahimi'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 Javid Ebrahimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javid Ebrahimi more than expected).
Fields of papers citing papers by Javid Ebrahimi
This network shows the impact of papers produced by Javid Ebrahimi. 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 Javid Ebrahimi. The network helps show where Javid Ebrahimi may publish in the future.
Co-authors
The 17 scholars most cited alongside Javid Ebrahimi, 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 | HotFlip: White-Box Adversarial Examples for Text Classification Hit paper breakdown → | 2018 | 494 |
| 2 | 2015 | 47 | |
| 3 | 2016 | 35 | |
| 4 | 2017 | 25 | |
| 5 | A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets | 2016 | 20 |
| 6 | 2017 | 19 | |
| 7 | 2015 | 16 | |
| 8 | 2020 | 10 | |
| 9 | 2016 | 6 | |
| 10 | 2016 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 3 | |
| 13 | A New Parametric Estimation Method for Graph-based Clustering | 2012 | 1 |
| 14 | 2016 | 1 |
About Javid Ebrahimi
Javid Ebrahimi is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Sociology and Political Science, Computer Vision and Pattern Recognition and Signal Processing, having authored 14 papers that have together received 686 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Complex Network Analysis Techniques (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Advanced Text Analysis Techniques (3 papers), Natural Language Processing Techniques (3 papers), Adversarial Robustness in Machine Learning (2 papers), Data Visualization and Analytics (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Artificial Intelligence (622 citations), Signal Processing (151 citations), Information Systems (83 citations), Software (14 citations) and Computer Vision and Pattern Recognition (64 citations). Javid Ebrahimi has collaborated with scholars based in United States, Iran and Poland. Frequent co-authors include Daniel Lowd, Anyi Rao, Dejing Dou, Dejing Dou, Amir Pouran Ben Veyseh, NhatHai Phan, Wei Zhang, Mohammad Saniee Abadeh, Franck Dernoncourt and Thien Huu Nguyen. Their work appears in journals such as IEEE Intelligent Systems, ACM Transactions on Intelligent Systems and Technology, International Conference on Computational Linguistics, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining and arXiv (Cornell University).
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.