Bart Pursel
Impact in
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- Online Learning and Analytics
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Intelligent Tutoring Systems and Adaptive Learning
- Text and Document Classification Technologies
Papers in
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- Advanced Text Analysis Techniques 6
- Topic Modeling 4
- Natural Language Processing Techniques 2
- Text and Document Classification Technologies 2
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- Information Retrieval and Search Behavior 2
- Co-authors
- Chen Liang (10 shared papers)C. Lee Giles (10 shared papers)Zhaohui Wu (6 shared papers)Jianbo Ye (2 shared papers)Shuting Wang (2 shared papers)Kyle Williams (2 shared papers)Shuting Wang (4 shared papers)Xiao Yang (2 shared papers)
- Journals
- Computer Applications in Engineering Education (1 paper)Proceedings of the Association for Information Science and Technology (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)
- Partner nations
- United StatesFinlandIsrael
In The Last Decade
Bart Pursel
13 papers receiving 265 citations
Peers
Comparison fields: 5 of 33
- Computer Science Applications 89
- Artificial Intelligence 206
- Information Systems 88
- Communication 18
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Bart Pursel
This map shows the geographic impact of Bart Pursel'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 Bart Pursel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Pursel more than expected).
Fields of papers citing papers by Bart Pursel
This network shows the impact of papers produced by Bart Pursel. 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 Bart Pursel. The network helps show where Bart Pursel may publish in the future.
Co-authors
The 17 scholars most cited alongside Bart Pursel, 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 | 2016 | 49 | |
| 2 | 2017 | 46 | |
| 3 | 2018 | 38 | |
| 4 | 2018 | 33 | |
| 5 | 2015 | 30 | |
| 6 | 2015 | 27 | |
| 7 | 2018 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2015 | 8 | |
| 10 | 2016 | 3 | |
| 11 | BBookX: Creating semi-automated textbooks to support student learning and decrease student costs | 2019 | 2 |
| 12 | 2016 | 1 | |
| 13 | 2016 | 1 |
About Bart Pursel
Bart Pursel is a scholar working on Artificial Intelligence, Information Systems, Communication, Computer Science Applications and Education, having authored 13 papers that have together received 276 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (6 papers), Topic Modeling (4 papers), Wikis in Education and Collaboration (4 papers), Online Learning and Analytics (3 papers), Information Retrieval and Search Behavior (2 papers), Natural Language Processing Techniques (2 papers), Text and Document Classification Technologies (2 papers) and E-Learning and Knowledge Management (2 papers). The work is most often cited by research in Computer Science Applications (89 citations), Artificial Intelligence (206 citations), Information Systems (88 citations), Communication (18 citations) and Computer Vision and Pattern Recognition (36 citations). Bart Pursel has collaborated with scholars based in United States, Finland and Israel. Frequent co-authors include Chen Liang, C. Lee Giles, Zhaohui Wu, Jianbo Ye, Shuting Wang, Kyle Williams, Shuting Wang, Xiao Yang, Drew C. Wham and Bernard J. Jansen. Their work appears in journals such as Computer Applications in Engineering Education, Proceedings of the Association for Information Science and Technology and Proceedings of the AAAI Conference on Artificial Intelligence.
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.