Alfred Ultsch
- Artificial Intelligence top 2%
- Molecular Biology
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 2%
- Physiology top 10%
- Co-authors
- Jörn LötschMichael C. ThrunFabian MörchenDario KringelThomas HummelGerd GeißlingerB. OertelEija Kalso
- Topics
- Neural Networks and Applications (19 papers)Gene expression and cancer classification (16 papers)Olfactory and Sensory Function Studies (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodBioinformatics
- Partner nations
- GermanyFinlandUnited States
In The Last Decade
Alfred Ultsch
131 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 192
- Artificial Intelligence 788
- Molecular Biology 508
- Signal Processing 421
- Computer Vision and Pattern Recognition 375
- Physiology 354
Countries citing papers authored by Alfred Ultsch
This map shows the geographic impact of Alfred Ultsch'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 Alfred Ultsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfred Ultsch more than expected).
Fields of papers citing papers by Alfred Ultsch
This network shows the impact of papers produced by Alfred Ultsch. 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 Alfred Ultsch. The network helps show where Alfred Ultsch may publish in the future.
Co-authorship network of co-authors of Alfred Ultsch
This figure shows the co-authorship network connecting the top 25 collaborators of Alfred Ultsch. A scholar is included among the top collaborators of Alfred Ultsch 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 Alfred Ultsch. Alfred Ultsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 47 | |
| 9 | 14 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 55 | |
| 13 | Is Log Ratio a Good Value for Measuring Return in Stock Investments | 1 |
| 14 | 5 | |
| 15 | An algorithm for fast and reliable ESOM learning | 8 |
| 16 | U*F Clustering: A New Performant “Cluster-Mining” Method Based On Segmentation of Self-Organizing Maps | 2 |
| 17 | U*C: Self-organized Clustering with Emergent Feature Maps. | 7 |
| 18 | 122 | |
| 19 | 23 | |
| 20 | Neural Networks and Their Rules for Classification in Marine Geology | 1 |
About Alfred Ultsch
Alfred Ultsch is a scholar working on Sensory Systems, Signal Processing and Artificial Intelligence, having authored 135 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (19 papers), Gene expression and cancer classification (16 papers) and Olfactory and Sensory Function Studies (14 papers). The work is most often cited by research in Sensory Systems (301 citations), Health Informatics (75 citations) and Signal Processing (421 citations). Alfred Ultsch has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Jörn Lötsch, Michael C. Thrun, Fabian Mörchen, Dario Kringel, Thomas Hummel, Gerd Geißlinger, B. Oertel, Eija Kalso, Alexandra Doehring and F. Javier Lerch. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.
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.