John X. Morris
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
-
- Topic Modeling 8
- Natural Language Processing Techniques 7
- Adversarial Robustness in Machine Learning 3
- Privacy-Preserving Technologies in Data 1
-
- Advanced Malware Detection Techniques 2
- Co-authors
- Yanjun Qi (4 shared papers)Jin Yong Yoo (4 shared papers)Eli Lifland (3 shared papers)Di Jin (1 shared paper)Jake Grigsby (1 shared paper)Alexander M. Rush (4 shared papers)Vitaly Shmatikov (2 shared papers)Volodymyr Kuleshov (1 shared paper)
- Journals
- Isis (1 paper)Computers and the Humanities (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
John X. Morris
11 papers receiving 378 citations
John X. Morris's Hit Papers
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 342
- Signal Processing 86
- Health Informatics 8
- Software 10
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by John X. Morris
This map shows the geographic impact of John X. Morris'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 John X. Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John X. Morris more than expected).
Fields of papers citing papers by John X. Morris
This network shows the impact of papers produced by John X. Morris. 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 John X. Morris. The network helps show where John X. Morris may publish in the future.
Co-authors
The 14 scholars most cited alongside John X. Morris, 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 | TextAttack: A Framework for Adversarial Attacks in Natural Language Processing | 2020 | 24 |
| 3 | 2020 | 24 | |
| 4 | 2023 | 19 | |
| 5 | 2023 | 6 | |
| 6 | 2020 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 1969 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 1969 | 2 |
About John X. Morris
John X. Morris is a scholar working on Artificial Intelligence, Signal Processing, Communication, Information Systems and Literature and Literary Theory, having authored 11 papers that have together received 394 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Adversarial Robustness in Machine Learning (3 papers), Advanced Malware Detection Techniques (2 papers), Privacy-Preserving Technologies in Data (1 paper), Software Engineering Research (1 paper), Educational Methods and Psychological Studies (1 paper) and Digital Humanities and Scholarship (1 paper). The work is most often cited by research in Artificial Intelligence (342 citations), Signal Processing (86 citations), Health Informatics (8 citations), Software (10 citations) and Computer Vision and Pattern Recognition (46 citations). John X. Morris has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Yanjun Qi, Jin Yong Yoo, Eli Lifland, Di Jin, Jake Grigsby, Alexander M. Rush, Vitaly Shmatikov, Volodymyr Kuleshov, Jianfeng Gao and Chandan Singh. Their work appears in journals such as Isis, Computers and the Humanities 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.