Dieter Merkl
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Information Systems top 2%
- Sociology and Political Science top 10%
- Co-authors
- Andreas RauberMichael DittenbachElias PampalkHelmut BergerErich SchweighoferEdgar WeipplKatharina KrombholzHubert Hasenauer
- Topics
- Neural Networks and Applications (18 papers)Music and Audio Processing (15 papers)Software Engineering Research (9 papers)
In The Last Decade
Dieter Merkl
87 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 880
- Computer Vision and Pattern Recognition 717
- Signal Processing 487
- Information Systems 293
- Sociology and Political Science 162
Countries citing papers authored by Dieter Merkl
This map shows the geographic impact of Dieter Merkl'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 Dieter Merkl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dieter Merkl more than expected).
Fields of papers citing papers by Dieter Merkl
This network shows the impact of papers produced by Dieter Merkl. 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 Dieter Merkl. The network helps show where Dieter Merkl may publish in the future.
Co-authorship network of co-authors of Dieter Merkl
This figure shows the co-authorship network connecting the top 25 collaborators of Dieter Merkl. A scholar is included among the top collaborators of Dieter Merkl 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 Dieter Merkl. Dieter Merkl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | New Directions in Science Communication: A Virtual Research & Experience Landscape | 1 |
| 2 | An Agent-based Centralized e-Marketplace in a Virtual Environment. | 2 |
| 3 | INTERACTION WITH ART MUSEUMS ON THE WEB | 6 |
| 4 | On the Impact of Document Representation on Classifier Per-formance in e-Mail Categorization. | 4 |
| 5 | An adaptive information retrieval system based on associative networks | 14 |
| 6 | Querying Tourism Information Systems in Natural Language. | 5 |
| 7 | Using smoothed data histograms for cluster visualization in Self-Organizing Maps | 76 |
| 8 | Organizing and Exploring High-Dimensional Data with the Growing Hierarchical Self-Organizing Map. | 19 |
| 9 | Providing Multilingual Natural Language Access To Tourism Information | 4 |
| 10 | Using Growing hierarchical self-organizing maps for document classification. | 17 |
| 11 | Text Classification and Labelling of Document Clusters with Self-Organising Maps | 2 |
| 12 | 13 | |
| 13 | Uncovering Associations Between Documents | 4 |
| 14 | Finding structure in text archives. | 6 |
| 15 | Forest Tree Mortality Simulation in Uneven-Aged Stands Using Connectionist Networks | 3 |
| 16 | Identification of gait patterns with self-organizing maps based on ground reaction force. | 11 |
| 17 | 3 | |
| 18 | Things we observed when watching people walk: Classification of gait patterns with self-organizing maps | 4 |
| 19 | A Connectionist View on Document Classification | 15 |
| 20 | The Effects of Lateral Inhibition on Learning Speed and Precision of a Self-Organizing Feature Map | 4 |
About Dieter Merkl
Dieter Merkl is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Music and Audio Processing (15 papers) and Software Engineering Research (9 papers). The work is most often cited by research in Signal Processing (487 citations), Computer Vision and Pattern Recognition (717 citations) and Artificial Intelligence (880 citations). Dieter Merkl has collaborated with scholars based in Austria, Australia and Spain. Frequent co-authors include Andreas Rauber, Michael Dittenbach, Elias Pampalk, Helmut Berger, Erich Schweighofer, Edgar Weippl, Katharina Krombholz, Hubert Hasenauer, Anton Bogdanovych and Simeon Simoff. Their work appears in journals such as Neurocomputing, Lecture notes in computer science and Applied 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.