Stefan Klampfl

400 total citations
16 papers, 238 citations indexed

About

Stefan Klampfl is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Information Systems. According to data from OpenAlex, Stefan Klampfl has authored 16 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Cognitive Neuroscience and 3 papers in Information Systems. Recurrent topics in Stefan Klampfl's work include Neural dynamics and brain function (5 papers), Topic Modeling (4 papers) and Neural Networks and Reservoir Computing (4 papers). Stefan Klampfl is often cited by papers focused on Neural dynamics and brain function (5 papers), Topic Modeling (4 papers) and Neural Networks and Reservoir Computing (4 papers). Stefan Klampfl collaborates with scholars based in Austria, Germany and United States. Stefan Klampfl's co-authors include Wolfgang Maass, Roman Kern, Thomas Reiter, Christopher Horn, Shihab Shamma, Pingbo Yin, Stephen V. David, Robert Legenstein, Michael Granitzer and Mark Kröll and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Neural Computation.

In The Last Decade

Stefan Klampfl

16 papers receiving 225 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stefan Klampfl Austria	9	112	101	68	43	33	16	238
Yuchen Li China	8	134 1.2×	47 0.5×	47 0.7×	68 1.6×	8 0.2×	27	276
Taro Tezuka Japan	8	32 0.3×	45 0.4×	11 0.2×	11 0.3×	12 0.4×	38	185
Raphael Y. de Camargo Brazil	10	52 0.5×	35 0.3×	23 0.3×	13 0.3×	3 0.1×	42	258
Christian Brenninkmeijer United Kingdom	7	70 0.6×	72 0.7×	126 1.9×	40 0.9×		10	216
Shuo Sun Singapore	10	50 0.4×	135 1.3×	78 1.1×	19 0.4×		21	279
Craig M. Vineyard United States	7	95 0.8×	157 1.6×	193 2.8×	45 1.0×	2 0.1×	35	295
Stephanie C. Y. Chan United States	9	77 0.7×	120 1.2×	18 0.3×	16 0.4×		17	265

Countries citing papers authored by Stefan Klampfl

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Stefan Klampfl

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Klampfl. A scholar is included among the top collaborators of Stefan Klampfl 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 Stefan Klampfl. Stefan Klampfl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Klampfl, Stefan, et al.. (2016). Identifying Referenced Text in Scientific Publications by Summarisation and Classification Techniques.. 122–131. 9 indexed citations

Klampfl, Stefan, et al.. (2016). Towards a more fine grained Analysis of Scientific Authorship: Predicting the number of authors using stylometric features. 26–31. 5 indexed citations

Kern, Roman, et al.. (2016). Identifying Referenced Text in ScientificPublications by Summarisation andClassification Techniques. 3 indexed citations

Klampfl, Stefan, et al.. (2015). Towards Authorship Attribution for Bibliometrics using Stylometric Features. 44–49. 6 indexed citations

Klampfl, Stefan, et al.. (2014). A Comparison of Two Unsupervised Table Recognition Methods from Digital Scientific Articles. D-Lib Magazine. 20(11/12). 8 indexed citations

Klampfl, Stefan, et al.. (2014). Unsupervised document structure analysis of digital scientific articles. International Journal on Digital Libraries. 14(3-4). 83–99. 19 indexed citations

Kröll, Mark, Stefan Klampfl, & Roman Kern. (2014). Towards a Marketplace for the Scientific Community: Accessing Knowledge from the Computer Science Domain. D-Lib Magazine. 20(11/12). 1 indexed citations

Horn, Christopher, et al.. (2014). Detecting Outliers in Cell Phone Data. Transportation Research Record Journal of the Transportation Research Board. 2405(1). 49–56. 34 indexed citations

Kern, Roman, et al.. (2013). Vote/Veto Classification, Ensemble Clustering and Sequence Classification for Author Identification Notebook for PAN at CLEF 2012. 1 indexed citations

10.

Klampfl, Stefan & Wolfgang Maass. (2013). Emergence of Dynamic Memory Traces in Cortical Microcircuit Models through STDP. Journal of Neuroscience. 33(28). 11515–11529. 68 indexed citations

11.

Kern, Roman & Stefan Klampfl. (2013). Extraction of References Using Layout and Formatting Information from Scientific Articles. D-Lib Magazine. 19(9/10). 8 indexed citations

12.

Klampfl, Stefan, Stephen V. David, Pingbo Yin, Shihab Shamma, & Wolfgang Maass. (2012). A quantitative analysis of information about past and present stimuli encoded by spikes of A1 neurons. Journal of Neurophysiology. 108(5). 1366–1380. 31 indexed citations

13.

Kern, Roman, et al.. (2012). Vote/Veto Classification, Ensemble Clustering and Sequence Classification for Author Identification. 5 indexed citations

14.

Klampfl, Stefan & Wolfgang Maass. (2010). A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction. Neural Computation. 22(12). 2979–3035. 11 indexed citations

15.

Klampfl, Stefan & Wolfgang Maass. (2009). Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks. Neural Information Processing Systems. 22. 988–996. 13 indexed citations

16.

Klampfl, Stefan, Robert Legenstein, & Wolfgang Maass. (2008). Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components. Neural Computation. 21(4). 911–959. 16 indexed citations

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.

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