Ad Feelders
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 5%
- Accounting top 10%
- Co-authors
- Hennie DanielsRob PotharstLinda C. van der GaagMarcel HolsheimerArno KnobbeWouter DuivesteijnMichael R. BertholdC. Kamphuis
- Topics
- Bayesian Modeling and Causal Inference (11 papers)Rough Sets and Fuzzy Logic (10 papers)Machine Learning and Data Classification (9 papers)
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsInformation & Management
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Ad Feelders
63 papers receiving 713 citations
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 414
- Information Systems 207
- Computational Theory and Mathematics 153
- Management Science and Operations Research 110
- Accounting 90
Countries citing papers authored by Ad Feelders
This map shows the geographic impact of Ad Feelders'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 Ad Feelders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ad Feelders more than expected).
Fields of papers citing papers by Ad Feelders
This network shows the impact of papers produced by Ad Feelders. 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 Ad Feelders. The network helps show where Ad Feelders may publish in the future.
Co-authorship network of co-authors of Ad Feelders
This figure shows the co-authorship network connecting the top 25 collaborators of Ad Feelders. A scholar is included among the top collaborators of Ad Feelders 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 Ad Feelders. Ad Feelders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014. Proceedings | 1 |
| 7 | Handling Missing Data in Trees: Surrogate Splits Or Statistical Imputation? | 5 |
| 8 | 10 | |
| 9 | Discriminative Scoring of Bayesian Network Classifiers: a Comparative Study. | 4 |
| 10 | Two polynomial algorithms for relabeling non-monotone data | 3 |
| 11 | 3 | |
| 12 | Advances in Intelligent Data Analysis VI: 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings (Lecture Notes in Computer Science) | 1 |
| 13 | Learning Bayesian Network Models from Incomplete Data using Importance Sampling. | 15 |
| 14 | Learning Bayesian Network Parameters Under Order Constraints | 2 |
| 15 | 48 | |
| 16 | 19 | |
| 17 | Mining in the presence of selectivity bias and its application to reject inference | 0 |
| 18 | Learning from biased data using mixture models | 4 |
| 19 | Data mining for loan evaluation at ABN AMRO: a case study | 6 |
| 20 | Which method learns most from the data | 7 |
About Ad Feelders
Ad Feelders is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability, having authored 66 papers that have together received 770 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (11 papers), Rough Sets and Fuzzy Logic (10 papers) and Machine Learning and Data Classification (9 papers). The work is most often cited by research in Artificial Intelligence (414 citations), Computational Theory and Mathematics (153 citations) and Information Systems (207 citations). Ad Feelders has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Hennie Daniels, Rob Potharst, Linda C. van der Gaag, Marcel Holsheimer, Arno Knobbe, Wouter Duivesteijn, Michael R. Berthold, C. Kamphuis, H. Hogeveen and H. Mollenhorst. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Information & Management.
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.