Felix Bießmann

4.1k total citations · 2 hit papers
50 papers, 2.5k citations indexed

About

Felix Bießmann is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Felix Bießmann has authored 50 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Cognitive Neuroscience and 7 papers in Signal Processing. Recurrent topics in Felix Bießmann's work include Neural dynamics and brain function (10 papers), Machine Learning and Data Classification (7 papers) and EEG and Brain-Computer Interfaces (7 papers). Felix Bießmann is often cited by papers focused on Neural dynamics and brain function (10 papers), Machine Learning and Data Classification (7 papers) and EEG and Brain-Computer Interfaces (7 papers). Felix Bießmann collaborates with scholars based in Germany, United States and South Korea. Felix Bießmann's co-authors include Frank C. Meinecke, Sven Dähne, John­–Dylan Haynes, Kai Görgen, Benjamin Blankertz, Stefan Haufe, Philipp Schmidt, Sebastian Schelter, Timm Teubner and Klaus‐Robert Müller and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Radiology.

In The Last Decade

Felix Bießmann

45 papers receiving 2.4k citations

Hit Papers

On the interpretation of weight vectors of linear models ... 2013 2026 2017 2021 2013 2020 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. On the interpretation of weight vectors of linear models in multivariate neuroimaging
    2013 850 citations Stefan Haufe, Frank C. Meinecke et al. NeuroImage profile →
  2. Transparency and trust in artificial intelligence systems
    2020 199 citations Felix Bießmann et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felix Bießmann Germany 20 1.3k 590 263 233 202 50 2.5k
Javier Andreu-Pérez United Kingdom 18 510 0.4× 885 1.5× 482 1.8× 123 0.5× 137 0.7× 77 2.9k
Afshin Shoeibi Iran 29 1.0k 0.8× 836 1.4× 662 2.5× 70 0.3× 230 1.1× 60 2.9k
Syed Umar Amin Saudi Arabia 24 1.2k 1.0× 585 1.0× 230 0.9× 451 1.9× 360 1.8× 47 2.8k
M. Shamim Kaiser Bangladesh 32 436 0.3× 1.1k 1.9× 427 1.6× 81 0.3× 277 1.4× 191 3.9k
Prabal Datta Barua Australia 33 1.1k 0.8× 1.1k 1.8× 723 2.7× 72 0.3× 205 1.0× 167 3.9k
N. Arunkumar India 37 1.2k 0.9× 993 1.7× 571 2.2× 153 0.7× 493 2.4× 109 5.0k
Oluwasanmi Koyejo United States 17 1.6k 1.3× 636 1.1× 638 2.4× 110 0.5× 39 0.2× 81 2.8k
Dimitris Koutsouris Greece 27 713 0.6× 361 0.6× 185 0.7× 58 0.2× 289 1.4× 269 3.3k
Georg Dorffner Austria 33 1.8k 1.5× 804 1.4× 182 0.7× 117 0.5× 394 2.0× 138 4.0k
Xiang Zhang China 22 813 0.6× 231 0.4× 66 0.3× 202 0.9× 206 1.0× 106 1.6k

Countries citing papers authored by Felix Bießmann

Since Specialization
Citations

This map shows the geographic impact of Felix Bießmann'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 Felix Bießmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Bießmann more than expected).

Fields of papers citing papers by Felix Bießmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felix Bießmann. 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 Felix Bießmann. The network helps show where Felix Bießmann may publish in the future.

Co-authorship network of co-authors of Felix Bießmann

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

All Works

20 of 20 papers shown
1.
Bießmann, Felix, et al.. (2025). Towards Realistic Error Models for Tabular Data. Journal of Data and Information Quality. 17(4). 1–27.
2.
Singh, Vipin Kumar, et al.. (2025). Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management. Universitätsbibliographie, Universität Duisburg-Essen. 1–6.
3.
Schulz, Alexander, et al.. (2025). Towards a global spatial machine learning model for seasonal groundwater level predictions in Germany. Hydrology and earth system sciences. 29(15). 3405–3433.
4.
Schulte‐Althoff, Matthias, et al.. (2025). The Potential of AI in Nursing Care: Multicenter Evaluation in Fall Risk Assessment. Journal of Medical Internet Research. 27. e71034–e71034. 1 indexed citations
5.
Haußer, Frank, et al.. (2024). Uncertainty in XAI: Human Perception and Modeling Approaches. SHILAP Revista de lepidopterología. 6(2). 1170–1192. 7 indexed citations
6.
Ritter, Thomas, et al.. (2023). CycleSense: Detecting near miss incidents in bicycle traffic from mobile motion sensors. Pervasive and Mobile Computing. 91. 101779–101779. 10 indexed citations
7.
Seibert, Kathrin, Dominik Domhoff, Daniel Fürstenau, et al.. (2023). Exploring needs and challenges for AI in nursing care – results of an explorative sequential mixed methods study. IT University Of Copenhagen (IT University of Copenhagen). 1(1). 18 indexed citations
8.
Hamm, Charlie Alexander, Felix Bießmann, Nick Lasse Beetz, et al.. (2023). Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI. Radiology. 307(4). e222276–e222276. 61 indexed citations
9.
Hamm, Charlie Alexander, et al.. (2023). Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRI. European Journal of Radiology. 166. 110964–110964. 9 indexed citations
10.
Bießmann, Felix, et al.. (2023). An Automated Machine Learning Approach towards Energy Saving Estimates in Public Buildings. Energies. 16(19). 6799–6799. 3 indexed citations
11.
Seibert, Kathrin, Dominik Domhoff, Matthias Schulte‐Althoff, et al.. (2021). Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review. Journal of Medical Internet Research. 23(11). e26522–e26522. 149 indexed citations
12.
Bießmann, Felix, et al.. (2021). A Benchmark for Data Imputation Methods. Frontiers in Big Data. 4. 693674–693674. 117 indexed citations
13.
Bießmann, Felix, et al.. (2019). DataWig: Missing Value Imputation for Tables. Journal of Machine Learning Research. 20(175). 1–6. 67 indexed citations
14.
Schelter, Sebastian, et al.. (2015). On Challenges in Machine Learning Model Management. IEEE Data(base) Engineering Bulletin. 41. 5–15. 85 indexed citations
15.
Haufe, Stefan, Frank C. Meinecke, Kai Görgen, et al.. (2013). On the interpretation of weight vectors of linear models in multivariate neuroimaging. NeuroImage. 87. 96–110. 850 indexed citations breakdown →
16.
Bießmann, Felix, Yusuke Murayama, Nikos K. Logothetis, Klaus‐Robert Müller, & Frank C. Meinecke. (2012). Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions. NeuroImage. 61(4). 1031–1042. 19 indexed citations
17.
Hahne, Janne M., Hubertus Rehbaum, Felix Bießmann, et al.. (2012). Simultaneous and proportional control of 2D wrist movements with myoelectric signals. 1–6. 35 indexed citations
18.
Bießmann, Felix, Sergey Plis, Frank C. Meinecke, Tom Eichele, & Klaus‐Robert Müller. (2011). Analysis of Multimodal Neuroimaging Data. IEEE Reviews in Biomedical Engineering. 4. 26–58. 114 indexed citations
19.
Murayama, Yusuke, Felix Bießmann, Frank C. Meinecke, et al.. (2010). Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCA. Magnetic Resonance Imaging. 28(8). 1095–1103. 57 indexed citations
20.
Farquhar, Jason, et al.. (2008). Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance. Max Planck Institute for Plasma Physics. 21. 665–672. 40 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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