Jake Grigsby
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Adversarial Robustness in Machine Learning
- Natural Language Processing Techniques
- Hate Speech and Cyberbullying Detection
- Anomaly Detection Techniques and Applications
- Explainable Artificial Intelligence (XAI)
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Adversarial Robustness in Machine Learning 1
- Topic Modeling 1
- Domain Adaptation and Few-Shot Learning 1
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- Generative Adversarial Networks and Image Synthesis 1
- Advanced Neural Network Applications 1
- Co-authors
- Yanjun Qi (1 shared paper)John X. Morris (1 shared paper)Di Jin (1 shared paper)Eli Lifland (1 shared paper)Jin Yong Yoo (1 shared paper)J. R. Hoskins (1 shared paper)Simonetta Liuti (1 shared paper)L. P. Alonzi (1 shared paper)
- Journals
- Physical review. D (1 paper)
- Partner nations
- United States
In The Last Decade
Jake Grigsby
2 papers receiving 302 citations
Jake Grigsby's Hit Papers
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 268
- Signal Processing 66
- Health Informatics 5
- Software 8
- Information Systems 37
Countries citing papers authored by Jake Grigsby
This map shows the geographic impact of Jake Grigsby'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 Jake Grigsby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Grigsby more than expected).
Fields of papers citing papers by Jake Grigsby
This network shows the impact of papers produced by Jake Grigsby. 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 Jake Grigsby. The network helps show where Jake Grigsby may publish in the future.
Co-authors
The 9 scholars most cited alongside Jake Grigsby, 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 | TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP Hit paper breakdown → | 2020 | 302 |
| 2 | 2021 | 11 |
About Jake Grigsby
Jake Grigsby is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 313 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (1 paper), Topic Modeling (1 paper), Advanced Malware Detection Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Artificial Intelligence (268 citations), Signal Processing (66 citations), Health Informatics (5 citations), Software (8 citations) and Information Systems (37 citations). Jake Grigsby has collaborated with scholars based in United States. Frequent co-authors include Yanjun Qi, John X. Morris, Di Jin, Eli Lifland, Jin Yong Yoo, J. R. Hoskins, Simonetta Liuti, L. P. Alonzi and Matthias Burkardt. Their work appears in journals such as Physical review. D.
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.