Troy Raeder
Impact in
- Health Informatics top 5%
- Marketing top 5%
- Consumer Market Behavior and Pricing
Papers in
-
- Mobile Crowdsensing and Crowdsourcing 2
- Co-authors
- Nitesh V. ChawlaJose G. Moreno-TorresRocío Aláiz-RodríguezFrancisco HerreraClaudia PerlichB D'AlessandroFoster ProvostOri Stitelman
- Journals
- ACM Transactions on Mathematical Software (1 paper)Big Data (1 paper)Journal of Machine Learning Research (1 paper)Machine Learning (1 paper)Pattern Recognition (1 paper)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Troy Raeder
14 papers receiving 910 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Health Informatics 25
- Marketing 150
- Artificial Intelligence 487
- Management Science and Operations Research 146
- Computational Mathematics 4
Countries citing papers authored by Troy Raeder
This map shows the geographic impact of Troy Raeder'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 Troy Raeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Troy Raeder more than expected).
Fields of papers citing papers by Troy Raeder
This network shows the impact of papers produced by Troy Raeder. 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 Troy Raeder. The network helps show where Troy Raeder may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Troy Raeder, 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 | 2014 | 11 | |
| 2 | 2014 | 27 | |
| 3 | Machine Learning for Targeted Display Advertising: Transfer Learning in Action | 2013 | 8 |
| 4 | 2013 | 104 | |
| 5 | 2013 | 4 | |
| 6 | 2013 | 19 | |
| 7 | 2012 | 20 | |
| 8 | 2012 | 92 | |
| 9 | A unifying view on dataset shift in classification Hit paper breakdown → | 2011 | 531 |
| 10 | 2010 | 57 | |
| 11 | 2010 | 18 | |
| 12 | 2009 | 3 | |
| 13 | 2009 | 16 | |
| 14 | 2004 | 62 |
About Troy Raeder
Troy Raeder is a scholar working on Tourism, Leisure and Hospitality Management, Computer Science Applications, Marketing, Information Systems and Artificial Intelligence, having authored 14 papers that have together received 972 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (6 papers), Data Mining Algorithms and Applications (5 papers), Imbalanced Data Classification Techniques (4 papers), Data Stream Mining Techniques (4 papers), Consumer Market Behavior and Pricing (3 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Physics of Superconductivity and Magnetism (1 paper) and Supply Chain and Inventory Management (1 paper). The work is most often cited by research in Health Informatics (25 citations), Marketing (150 citations), Artificial Intelligence (487 citations), Management Science and Operations Research (146 citations) and Computational Mathematics (4 citations). Troy Raeder has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Nitesh V. Chawla, Jose G. Moreno-Torres, Rocío Aláiz-Rodríguez, Francisco Herrera, Claudia Perlich, B D'Alessandro, Foster Provost, Ori Stitelman, Trevor Cickovski and Jesús A. Izaguirre. Their work appears in journals such as ACM Transactions on Mathematical Software, Big Data, Journal of Machine Learning Research, Machine Learning and Pattern Recognition.
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.