Chris Seiffert
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Artificial Intelligence top 1%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Text and Document Classification Technologies
Papers in
-
- Machine Learning and Data Classification 14
- Imbalanced Data Classification Techniques 13
- Anomaly Detection Techniques and Applications 4
- Machine Learning and Algorithms 1
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- Software Engineering Research 6
- Data Mining Algorithms and Applications 6
- Co-authors
- Taghi M. Khoshgoftaar (18 shared papers)Jason Van Hulse (16 shared papers)Amri Napolitano (7 shared papers)Andres Folleco (4 shared papers)Lili Zhao (2 shared papers)Naeem Seliya (1 shared paper)
- Journals
- IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans (2 papers)Information Sciences (1 paper)Integrated Computer-Aided Engineering (1 paper)Intelligent Data Analysis (1 paper)The Florida AI Research Society (1 paper)
- Partner nations
- United States
In The Last Decade
Chris Seiffert
18 papers receiving 2.0k citations
Chris Seiffert's Hit Papers
Peers
Comparison fields: 5 of 160
- Software 200
- Artificial Intelligence 1.3k
- Health Information Management 129
- Accounting 196
- Information Systems 355
Countries citing papers authored by Chris Seiffert
This map shows the geographic impact of Chris Seiffert'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 Chris Seiffert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Seiffert more than expected).
Fields of papers citing papers by Chris Seiffert
This network shows the impact of papers produced by Chris Seiffert. 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 Chris Seiffert. The network helps show where Chris Seiffert may publish in the future.
Co-authors
The 6 scholars most cited alongside Chris Seiffert, 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 | RUSBoost: A Hybrid Approach to Alleviating Class Imbalance Hit paper breakdown → | 2009 | 1317 |
| 2 | 2008 | 223 | |
| 3 | 2011 | 106 | |
| 4 | 2009 | 90 | |
| 5 | 2007 | 75 | |
| 6 | 2009 | 49 | |
| 7 | 2008 | 47 | |
| 8 | 2008 | 43 | |
| 9 | 2008 | 39 | |
| 10 | Building Useful Models from Imbalanced Data with Sampling and Boosting | 2008 | 38 |
| 11 | 2007 | 21 | |
| 12 | 2006 | 7 | |
| 13 | 2006 | 6 | |
| 14 | 2008 | 5 | |
| 15 | 2007 | 5 | |
| 16 | 2006 | 3 | |
| 17 | Learning from Software Quality Data with Class Imbalance and Noise. | 2007 | 2 |
| 18 | 2006 | 2 |
About Chris Seiffert
Chris Seiffert is a scholar working on Artificial Intelligence, Information Systems, Software, Electrical and Electronic Engineering and Statistics and Probability, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (14 papers), Imbalanced Data Classification Techniques (13 papers), Software Engineering Research (6 papers), Data Mining Algorithms and Applications (6 papers), Anomaly Detection Techniques and Applications (4 papers), Software Reliability and Analysis Research (3 papers), Electricity Theft Detection Techniques (2 papers) and Machine Learning and Algorithms (1 paper). The work is most often cited by research in Software (200 citations), Artificial Intelligence (1.3k citations), Health Information Management (129 citations), Accounting (196 citations) and Information Systems (355 citations). Chris Seiffert has collaborated with scholars based in United States. Frequent co-authors include Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, Andres Folleco, Lili Zhao and Naeem Seliya. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Information Sciences, Integrated Computer-Aided Engineering, Intelligent Data Analysis and The Florida AI Research Society.
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.