Peter van der Putten
Impact in
- Software top 10%
Papers in
-
- Data Mining Algorithms and Applications 4
- Software Engineering Research 4
- Co-authors
- Maarten van Someren (1 shared paper)Michel R. V. Chaudron (4 shared papers)Mohd Hafeez Osman (3 shared papers)Joost N. Kok (3 shared papers)Amar Gupta (2 shared papers)Frank W. Takes (2 shared papers)Egon L. van den Broek (3 shared papers)Bahareh Barati (1 shared paper)
- Journals
- BMC Medical Informatics and Decision Making (1 paper)Acta Orthopaedica (1 paper)Minds and Machines (1 paper)Language Resources and Evaluation (1 paper)Machine Learning (1 paper)
- Partner nations
- NetherlandsUnited StatesChina
In The Last Decade
Peter van der Putten
24 papers receiving 238 citations
Peers
Comparison fields: 5 of 79
- Software 33
- Health Informatics 6
- Marketing 43
- Information Systems 77
- Artificial Intelligence 99
Countries citing papers authored by Peter van der Putten
This map shows the geographic impact of Peter van der Putten'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 Peter van der Putten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter van der Putten more than expected).
Fields of papers citing papers by Peter van der Putten
This network shows the impact of papers produced by Peter van der Putten. 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 Peter van der Putten. The network helps show where Peter van der Putten may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter van der Putten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 72 | |
| 2 | 2013 | 32 | |
| 3 | The Impact of Experimental Setup in Prepaid Churn Prediction for Mobile Telecommunications: What to Predict, for Whom and Does the Customer Experience Matter? | 2010 | 21 |
| 4 | 2002 | 13 | |
| 5 | Automating the construction of scene classifiers for content-based video retrieval | 2004 | 13 |
| 6 | 2021 | 13 | |
| 7 | Combining Customer Attribute and Social Network Mining for Prepaid Mobile Churn Prediction | 2013 | 12 |
| 8 | Towards Automated Grading of UML Class Diagrams with Machine Learning. | 2019 | 10 |
| 9 | 2024 | 8 | |
| 10 | 2007 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2002 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2008 | 6 | |
| 15 | 2007 | 6 | |
| 16 | 2022 | 4 | |
| 17 | Exploratory Recommendations Using Wikipedia's Linking Structure | 2011 | 4 |
| 18 | 2014 | 4 | |
| 19 | 2014 | 4 | |
| 20 | Signing as Input for a Dictionary Query: Matching Signs Based on Joint Positions of the Dominant Hand | 2020 | 3 |
About Peter van der Putten
Peter van der Putten is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Marketing and Human-Computer Interaction, having authored 27 papers that have together received 263 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Software Engineering Research (4 papers), Customer churn and segmentation (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), Software Testing and Debugging Techniques (3 papers), Consumer Market Behavior and Pricing (3 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Software (33 citations), Health Informatics (6 citations), Marketing (43 citations), Information Systems (77 citations) and Artificial Intelligence (99 citations). Peter van der Putten has collaborated with scholars based in Netherlands, United States and China. Frequent co-authors include Maarten van Someren, Michel R. V. Chaudron, Mohd Hafeez Osman, Joost N. Kok, Amar Gupta, Frank W. Takes, Egon L. van den Broek, Bahareh Barati, Michiel van Wezel and Ferry Hagen. Their work appears in journals such as BMC Medical Informatics and Decision Making, Acta Orthopaedica, Minds and Machines, Language Resources and Evaluation and Machine Learning.
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.