Edward Raff

2.6k citations
73 papers · 1.2k · 2 hit papers · h-index 17

Impact in

Papers in

    • Anomaly Detection Techniques and Applications 13
    • Adversarial Robustness in Machine Learning 10
    • Explainable Artificial Intelligence (XAI) 7
    • Natural Language Processing Techniques 5
    • Topic Modeling 5
    • Algorithms and Data Compression 5
    • Advanced Malware Detection Techniques 17

Edward Raff

60 papers receiving 1.1k citations

Edward Raff's Hit Papers

Crosslingual Generalization through Multitask Finetuning 2023 · 215 citations
2150+1+2Years since publication50100150200

Peers

Edward Raff
Comparison fields: 5 of 107
  • Signal Processing 375
  • Health Informatics 28
  • Artificial Intelligence 664
  • Computer Vision and Pattern Recognition 260
  • Computer Networks and Communications 283
Replace Minsuk Kahng with:
Minsuk Kahng United States
Yang-Wai Chow Australia
Kaidi Xu United States
Ilir Jusufi Sweden
Changjie Fan China
Chun Chen China
John Aycock Canada
Kang Liu China
Artur d’Avila Garcez United Kingdom
Fred Hohman United States
Edward Raff relative to Minsuk Kahng United States Minsuk Kahng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Edward Raff

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Edward Raff Line = papers co-authored together Edward Raff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Crosslingual Generalization through Multitask Finetuning
Hit paper breakdown →
2023215
2
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance
Hit paper breakdown →
2022188
3 2016123
4 201983
5 201750
6 202043
7 202135
8 201831
9
JSAT: Java statistical analysis tool, a library for machine learning
201730
10 201728
11 201927
12 201727
13 201827
14 202222
15 202220
16 201818
17 201817
18 202116
19 202216
20 201913

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 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (17 papers), Anomaly Detection Techniques and Applications (13 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 (5 papers), Topic Modeling (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Signal Processing (375 citations), Health Informatics (28 citations), Artificial Intelligence (664 citations), Computer Vision and Pattern Recognition (260 citations) and Computer Networks and Communications (283 citations). Edward Raff has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Charles Nicholas, Jared Sylvester, Stella Biderman, Mark McLean, Richard Zak, Sanjay Purushotham, Zheng Yong, Dragomir Radev, Alham Fikri Aji and Lintang Sutawika. Their work appears in journals such as Journal of Computer Virology and Hacking Techniques, Digital Investigation, American Journal of Obstetrics and Gynecology, Journal of Machine Learning Research and ACM Transactions on Privacy and Security.

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.

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