Stefan Klampfl
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Transportation top 10%
- Human Mobility and Location-Based Analysis
Papers in
-
- Topic Modeling 4
- Neural Networks and Reservoir Computing 4
- Authorship Attribution and Profiling 3
- Advanced Text Analysis Techniques 3
- Natural Language Processing Techniques 3
-
- Neural dynamics and brain function 5
- Co-authors
- Wolfgang Maass (5 shared papers)Roman Kern (10 shared papers)Christopher Horn (1 shared paper)Thomas Reiter (1 shared paper)Kris Jack (2 shared papers)Stephen V. David (1 shared paper)Pingbo Yin (1 shared paper)Shihab Shamma (1 shared paper)
- Journals
- D-Lib Magazine (3 papers)Neural Computation (2 papers)International Journal on Digital Libraries (1 paper)Journal of Neuroscience (1 paper)Journal of Neurophysiology (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Stefan Klampfl
16 papers receiving 226 citations
Peers
Comparison fields: 5 of 41
- Cognitive Neuroscience 112
- Transportation 34
- Artificial Intelligence 99
- Cellular and Molecular Neuroscience 42
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Stefan Klampfl
This map shows the geographic impact of Stefan Klampfl'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 Stefan Klampfl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Klampfl more than expected).
Fields of papers citing papers by Stefan Klampfl
This network shows the impact of papers produced by Stefan Klampfl. 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 Stefan Klampfl. The network helps show where Stefan Klampfl may publish in the future.
Co-authors
The 11 scholars most cited alongside Stefan Klampfl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 68 | |
| 2 | 2014 | 35 | |
| 3 | 2012 | 31 | |
| 4 | 2014 | 18 | |
| 5 | 2008 | 16 | |
| 6 | Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks | 2009 | 13 |
| 7 | 2010 | 11 | |
| 8 | Identifying Referenced Text in Scientific Publications by Summarisation and Classification Techniques. | 2016 | 9 |
| 9 | 2014 | 8 | |
| 10 | 2013 | 8 | |
| 11 | Towards Authorship Attribution for Bibliometrics using Stylometric Features | 2015 | 7 |
| 12 | Towards a more fine grained Analysis of Scientific Authorship: Predicting the number of authors using stylometric features | 2016 | 5 |
| 13 | Vote/Veto Classification, Ensemble Clustering and Sequence Classification for Author Identification | 2012 | 5 |
| 14 | Identifying Referenced Text in ScientificPublications by Summarisation andClassification Techniques | 2016 | 3 |
| 15 | Vote/Veto Classification, Ensemble Clustering and Sequence Classification for Author Identification Notebook for PAN at CLEF 2012 | 2013 | 1 |
| 16 | 2014 | 1 |
About Stefan Klampfl
Stefan Klampfl is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 239 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Topic Modeling (4 papers), Neural Networks and Reservoir Computing (4 papers), Authorship Attribution and Profiling (3 papers), Advanced Memory and Neural Computing (3 papers), Advanced Text Analysis Techniques (3 papers), Natural Language Processing Techniques (3 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Cognitive Neuroscience (112 citations), Transportation (34 citations), Artificial Intelligence (99 citations), Cellular and Molecular Neuroscience (42 citations) and Computer Vision and Pattern Recognition (25 citations). Stefan Klampfl has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Wolfgang Maass, Roman Kern, Christopher Horn, Thomas Reiter, Kris Jack, Stephen V. David, Pingbo Yin, Shihab Shamma, Robert Legenstein and Michael Granitzer. Their work appears in journals such as D-Lib Magazine, Neural Computation, International Journal on Digital Libraries, Journal of Neuroscience and Journal of Neurophysiology.
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.