Edward Raff
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
- Health Informatics top 5%
Papers in
-
- Anomaly Detection Techniques and Applications 12
- Adversarial Robustness in Machine Learning 10
- Explainable Artificial Intelligence (XAI) 7
- Natural Language Processing Techniques 4
- Topic Modeling 4
- Privacy-Preserving Technologies in Data 4
-
- Advanced Malware Detection Techniques 16
- Co-authors
- Charles Nicholas (16 shared papers)Jared Sylvester (5 shared papers)Mark McLean (6 shared papers)Richard Zak (4 shared papers)Stella Biderman (6 shared papers)Sanjay Purushotham (5 shared papers)Lintang Sutawika (2 shared papers)Khalid Almubarak (2 shared papers)
- Journals
- Reproduction Fertility and Development (1 paper)ACM Transactions on Privacy and Security (1 paper)Computers & Security (1 paper)Journal of Machine Learning Research (1 paper)American Journal of Obstetrics and Gynecology (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Edward Raff
53 papers receiving 834 citations
Edward Raff's Hit Papers
Peers
Comparison fields: 5 of 96
- Signal Processing 331
- Health Informatics 25
- Artificial Intelligence 553
- Software 46
- Computer Networks and Communications 259
Countries citing papers authored by Edward Raff
This map shows the geographic impact of Edward Raff'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 Edward Raff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Raff more than expected).
Fields of papers citing papers by Edward Raff
This network shows the impact of papers produced by Edward Raff. 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 Edward Raff. The network helps show where Edward Raff may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Raff, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Crosslingual Generalization through Multitask Finetuning Hit paper breakdown → | 2023 | 198 |
| 2 | 2016 | 116 | |
| 3 | 2019 | 75 | |
| 4 | 2017 | 44 | |
| 5 | 2020 | 39 | |
| 6 | 2021 | 31 | |
| 7 | JSAT: Java statistical analysis tool, a library for machine learning | 2017 | 30 |
| 8 | 2018 | 27 | |
| 9 | 2018 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2019 | 24 | |
| 12 | 2017 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 2022 | 17 | |
| 15 | 2018 | 15 | |
| 16 | 2018 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2018 | 13 | |
| 20 | 2019 | 12 |
About Edward Raff
Edward Raff is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 64 papers that have together received 885 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (16 papers), Anomaly Detection Techniques and Applications (12 papers), Network Security and Intrusion Detection (11 papers), Adversarial Robustness in Machine Learning (10 papers), Explainable Artificial Intelligence (XAI) (7 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Signal Processing (331 citations), Health Informatics (25 citations), Artificial Intelligence (553 citations), Software (46 citations) and Computer Networks and Communications (259 citations). Edward Raff has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Charles Nicholas, Jared Sylvester, Mark McLean, Richard Zak, Stella Biderman, Sanjay Purushotham, Lintang Sutawika, Khalid Almubarak, Dragomir Radev and Zheng Yong. Their work appears in journals such as Reproduction Fertility and Development, ACM Transactions on Privacy and Security, Computers & Security, Journal of Machine Learning Research and American Journal of Obstetrics and Gynecology.
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.