Andreas Weingessel
Impact in
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Neural Networks and Applications
- Bayesian Methods and Mixture Models
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Advanced Clustering Algorithms Research 7
- Neural Networks and Applications 3
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- Data Management and Algorithms 4
- Blind Source Separation Techniques 3
- Co-authors
- Evgenia Dimitriadou (10 shared papers)Kurt Hornik (17 shared papers)Friedrich Leisch (8 shared papers)David Meyer (2 shared papers)Sara Dolničar (3 shared papers)Christian Buchta (1 shared paper)Pia Veronika Vécsei‐Marlovits (2 shared papers)H. Gnad (2 shared papers)
In The Last Decade
Andreas Weingessel
22 papers receiving 943 citations
Andreas Weingessel's Hit Papers
Peers
Comparison fields: 5 of 178
- Artificial Intelligence 330
- Signal Processing 107
- Tourism, Leisure and Hospitality Management 15
- Statistics and Probability 60
- Computer Vision and Pattern Recognition 111
Countries citing papers authored by Andreas Weingessel
This map shows the geographic impact of Andreas Weingessel'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 Andreas Weingessel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Weingessel more than expected).
Fields of papers citing papers by Andreas Weingessel
This network shows the impact of papers produced by Andreas Weingessel. 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 Andreas Weingessel. The network helps show where Andreas Weingessel may publish in the future.
Co-authors
The 14 scholars most cited alongside Andreas Weingessel, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Misc Functions of the Department of Statistics, ProbabilityTheory Group (Formerly: E1071), TU Wien Hit paper breakdown → | 2015 | 414 |
| 2 | 2002 | 186 | |
| 3 | Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien [R package e1071 version 1.7-4] | 2020 | 104 |
| 4 | 2002 | 69 | |
| 5 | 2000 | 60 | |
| 6 | 1998 | 43 | |
| 7 | An Ensemble Method for Clustering | 2003 | 29 |
| 8 | 1998 | 22 | |
| 9 | 1999 | 10 | |
| 10 | 1997 | 10 | |
| 11 | A cluster ensembles framework | 2003 | 7 |
| 12 | 2008 | 6 | |
| 13 | 2003 | 6 | |
| 14 | 1997 | 5 | |
| 15 | 1998 | 5 | |
| 16 | 1999 | 4 | |
| 17 | 1996 | 3 | |
| 18 | 1998 | 2 | |
| 19 | 2008 | 2 | |
| 20 | 1999 | 2 |
About Andreas Weingessel
Andreas Weingessel is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Statistical and Nonlinear Physics, having authored 23 papers that have together received 991 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (7 papers), Data Management and Algorithms (4 papers), Face and Expression Recognition (3 papers), Neural Networks and Applications (3 papers), Data Mining Algorithms and Applications (3 papers), Blind Source Separation Techniques (3 papers), Complex Network Analysis Techniques (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Artificial Intelligence (330 citations), Signal Processing (107 citations), Tourism, Leisure and Hospitality Management (15 citations), Statistics and Probability (60 citations) and Computer Vision and Pattern Recognition (111 citations). Andreas Weingessel has collaborated with scholars based in Austria and Germany. Frequent co-authors include Evgenia Dimitriadou, Kurt Hornik, Friedrich Leisch, David Meyer, Sara Dolničar, Christian Buchta, Pia Veronika Vécsei‐Marlovits, H. Gnad, Birgit Weingessel and Sibylla Richter‐Mueksch. Their work appears in journals such as Psychometrika, International Journal of Neural Systems, Neural Processing Letters, Wiener klinische Wochenschrift and International Journal of Pattern Recognition and Artificial Intelligence.
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.