Isaac Persing
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Multi-Agent Systems and Negotiation
- Software top 10%
- Software Reliability and Analysis Research
Papers in
-
- Topic Modeling 9
- Natural Language Processing Techniques 5
- Sentiment Analysis and Opinion Mining 3
- Advanced Text Analysis Techniques 2
- Hate Speech and Cyberbullying Detection 2
- Imbalanced Data Classification Techniques 2
- Anomaly Detection Techniques and Applications 2
-
- Software Engineering Research 8
- Co-authors
- Vincent Ng (7 shared papers)Alan Davis (1 shared paper)LiGuo Huang (2 shared papers)Jeff Tian (2 shared papers)Xu Bai (1 shared paper)Mingrui Chen (1 shared paper)Zeheng Li (1 shared paper)
- Journals
- Language Resources and Evaluation (1 paper)Automated Software Engineering (1 paper)International Joint Conference on Natural Language Processing (1 paper)Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United States
In The Last Decade
Isaac Persing
14 papers receiving 415 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 370
- Software 42
- Information Systems 215
- Computer Science Applications 10
- Communication 12
Countries citing papers authored by Isaac Persing
This map shows the geographic impact of Isaac Persing'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 Isaac Persing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isaac Persing more than expected).
Fields of papers citing papers by Isaac Persing
This network shows the impact of papers produced by Isaac Persing. 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 Isaac Persing. The network helps show where Isaac Persing may publish in the future.
Co-authors
The 8 scholars most cited alongside Isaac Persing, 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 | 2015 | 96 | |
| 2 | 2016 | 63 | |
| 3 | Modeling Organization in Student Essays | 2010 | 59 |
| 4 | 2014 | 44 | |
| 5 | 2011 | 42 | |
| 6 | Modeling Thesis Clarity in Student Essays | 2013 | 33 |
| 7 | 2017 | 29 | |
| 8 | 2009 | 26 | |
| 9 | 2016 | 18 | |
| 10 | 2014 | 17 | |
| 11 | 2014 | 7 | |
| 12 | Lightly-Supervised Modeling of Argument Persuasiveness | 2017 | 6 |
| 13 | Unsupervised Argumentation Mining in Student Essays | 2020 | 4 |
| 14 | 2010 | 1 |
About Isaac Persing
Isaac Persing is a scholar working on Artificial Intelligence, Information Systems, Communication, Radiological and Ultrasound Technology and Signal Processing, having authored 14 papers that have together received 445 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Software Engineering Research (8 papers), Natural Language Processing Techniques (5 papers), Sentiment Analysis and Opinion Mining (3 papers), Advanced Text Analysis Techniques (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Imbalanced Data Classification Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (370 citations), Software (42 citations), Information Systems (215 citations), Computer Science Applications (10 citations) and Communication (12 citations). Isaac Persing has collaborated with scholars based in United States. Frequent co-authors include Vincent Ng, Vincent Ng, Alan Davis, LiGuo Huang, Jeff Tian, Xu Bai, Mingrui Chen and Zeheng Li. Their work appears in journals such as Language Resources and Evaluation, Automated Software Engineering, International Joint Conference on Natural Language Processing and Empirical Methods in Natural Language Processing.
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.