Bart Pursel

549 total citations
13 papers, 276 citations indexed

About

Bart Pursel is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Bart Pursel has authored 13 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Communication. Recurrent topics in Bart Pursel's work include Advanced Text Analysis Techniques (6 papers), Topic Modeling (4 papers) and Wikis in Education and Collaboration (4 papers). Bart Pursel is often cited by papers focused on Advanced Text Analysis Techniques (6 papers), Topic Modeling (4 papers) and Wikis in Education and Collaboration (4 papers). Bart Pursel collaborates with scholars based in United States, Finland and Israel. Bart Pursel's 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 and has published in prestigious 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.

In The Last Decade

Bart Pursel

13 papers receiving 265 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bart Pursel United States 9 206 89 88 36 27 13 276
Michael Meire Belgium 8 141 0.7× 167 1.9× 84 1.0× 36 1.0× 9 0.3× 14 254
Kris Cardinaels Belgium 8 126 0.6× 217 2.4× 90 1.0× 22 0.6× 16 0.6× 16 290
Faiçal Azouaou Algeria 10 300 1.5× 29 0.3× 80 0.9× 19 0.5× 8 0.3× 28 362
Xinhua Zhu China 12 208 1.0× 37 0.4× 45 0.5× 14 0.4× 9 0.3× 33 268
Drahomíra Herrmannová United States 8 104 0.5× 126 1.4× 45 0.5× 13 0.4× 44 1.6× 26 264
Slavomir Stankov Croatia 10 182 0.9× 135 1.5× 88 1.0× 9 0.3× 38 1.4× 44 277
Ekaterina Kochmar United Kingdom 9 260 1.3× 34 0.4× 68 0.8× 11 0.3× 5 0.2× 32 331
Salvatore Valenti Italy 4 151 0.7× 52 0.6× 119 1.4× 8 0.2× 66 2.4× 10 261
Julien Tane Germany 6 144 0.7× 72 0.8× 117 1.3× 7 0.2× 9 0.3× 7 203
Jen‐Yuan Yeh Taiwan 7 260 1.3× 16 0.2× 69 0.8× 23 0.6× 5 0.2× 15 323

Countries citing papers authored by Bart Pursel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bart Pursel

This figure shows the co-authorship network connecting the top 25 collaborators of Bart Pursel. A scholar is included among the top collaborators of Bart Pursel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bart Pursel. Bart Pursel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Pursel, Bart, et al.. (2019). BBookX: Creating semi-automated textbooks to support student learning and decrease student costs. 2384. 81–87. 2 indexed citations
2.
Lim, Sunghoon, Conrad S. Tucker, Kathryn Jablokow, & Bart Pursel. (2018). A semantic network model for measuring engagement and performance in online learning platforms. Computer Applications in Engineering Education. 26(5). 1481–1492. 19 indexed citations
3.
Liang, Chen, Jianbo Ye, Shuting Wang, Bart Pursel, & C. Lee Giles. (2018). Investigating Active Learning for Concept Prerequisite Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 38 indexed citations
4.
Liang, Chen, et al.. (2018). Distractor Generation for Multiple Choice Questions Using Learning to Rank. 284–290. 33 indexed citations
5.
6.
Liang, Chen, Jianbo Ye, Zhaohui Wu, Bart Pursel, & C. Lee Giles. (2017). Recovering Concept Prerequisite Relations from University Course Dependencies. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 46 indexed citations
7.
Pursel, Bart, et al.. (2016). An Analysis of Cognitive Learning Context in MOOC Forum Messages. 1315–1321. 3 indexed citations
8.
Wang, Shuting, Alexander G. Ororbia, Zhaohui Wu, et al.. (2016). Using Prerequisites to Extract Concept Maps fromTextbooks. 317–326. 49 indexed citations
9.
Liang, Chen, Shuting Wang, Zhaohui Wu, et al.. (2016). BBookX: Building Online Open Books for Personalized Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 1 indexed citations
10.
Pursel, Bart, C. Lee Giles, Chen Liang, et al.. (2016). BBookX. 929–933. 1 indexed citations
11.
Pursel, Bart, et al.. (2015). Analyzing MOOC discussion forum messages to identify cognitive learning information exchanges. Proceedings of the Association for Information Science and Technology. 52(1). 1–10. 27 indexed citations
12.
Wang, Shuting, Chen Liang, Zhaohui Wu, et al.. (2015). Concept Hierarchy Extraction from Textbooks. 147–156. 30 indexed citations
13.
Liang, Chen, Shuting Wang, Zhaohui Wu, et al.. (2015). BBookX. 121–124. 8 indexed citations

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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