Jason Van Hulse
- Artificial Intelligence top 0.2%
- Information Systems top 0.5%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Software top 1%
- Co-authors
- Taghi M. KhoshgoftaarAmri NapolitanoChris SeiffertNaeem SeliyaRandall WaldAndres FollecoHuanjing WangDavid J. Dittman
- Topics
- Imbalanced Data Classification Techniques (36 papers)Machine Learning and Data Classification (35 papers)Software Engineering Research (15 papers)
- Journals
- Information SciencesJournal of Systems and SoftwareIEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
- Partner nations
- United States
In The Last Decade
Jason Van Hulse
54 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Artificial Intelligence 2.8k
- Information Systems 861
- Electrical and Electronic Engineering 728
- Computer Vision and Pattern Recognition 468
- Software 414
Countries citing papers authored by Jason Van Hulse
This map shows the geographic impact of Jason Van Hulse'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 Jason Van Hulse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Van Hulse more than expected).
Fields of papers citing papers by Jason Van Hulse
This network shows the impact of papers produced by Jason Van Hulse. 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 Jason Van Hulse. The network helps show where Jason Van Hulse may publish in the future.
Co-authorship network of co-authors of Jason Van Hulse
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Van Hulse. A scholar is included among the top collaborators of Jason Van Hulse 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 Jason Van Hulse. Jason Van Hulse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | Robustness of Filter-Based Feature Ranking: A Case Study | 12 |
| 4 | 35 | |
| 5 | 72 | |
| 6 | An Evaluation of Sampling on Filter-Based Feature Selection Methods | 6 |
| 7 | 52 | |
| 8 | 41 | |
| 9 | 167 | |
| 10 | 158 | |
| 11 | 39 | |
| 12 | Building Useful Models from Imbalanced Data with Sampling and Boosting | 38 |
| 13 | 5 | |
| 14 | 43 | |
| 15 | Learning from Software Quality Data with Class Imbalance and Noise. | 2 |
| 16 | Experimental perspectives on learning from imbalanced databreakdown → | 571 |
| 17 | 75 | |
| 18 | Multiple Imputation of Software Measurement Data: A Case Study. | 5 |
| 19 | 5 | |
| 20 | 7 |
About Jason Van Hulse
Jason Van Hulse is a scholar working on Software, Artificial Intelligence and Information Systems, having authored 55 papers that have together received 4.2k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (36 papers), Machine Learning and Data Classification (35 papers) and Software Engineering Research (15 papers). The work is most often cited by research in Software (414 citations), Artificial Intelligence (2.8k citations) and Health Information Management (269 citations). Jason Van Hulse has collaborated with scholars based in United States. Frequent co-authors include Taghi M. Khoshgoftaar, Amri Napolitano, Chris Seiffert, Naeem Seliya, Randall Wald, Andres Folleco, Huanjing Wang, David J. Dittman, Kehan Gao and Lili Zhao. Their work appears in journals such as Information Sciences, Journal of Systems and Software and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.
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.