Michael Pfeiffer
Impact in
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function
- Artificial Intelligence top 0.5%
- Neural Networks and Reservoir Computing
- AI in cancer detection
- Neural Networks and Applications
Papers in
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- Neural dynamics and brain function 22
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- Adversarial Robustness in Machine Learning 5
- Neural Networks and Applications 5
- Co-authors
- Shih‐Chii Liu (6 shared papers)Tobi Delbrück (7 shared papers)Thomas Pfeil (4 shared papers)Daniel Neil (7 shared papers)Jun Haeng Lee (3 shared papers)Yuhuang Hu (2 shared papers)Bodo Rueckauer (1 shared paper)Jonathan Binas (4 shared papers)
- Journals
- Frontiers in Neuroscience (9 papers)PLoS Computational Biology (3 papers)Communicative & Integrative Biology (1 paper)Journal of Neurophysiology (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- SwitzerlandGermanyAustria
In The Last Decade
Michael Pfeiffer
69 papers receiving 5.6k citations
Michael Pfeiffer's Hit Papers
Peers
Comparison fields: 5 of 148
- Cognitive Neuroscience 2.5k
- Artificial Intelligence 2.2k
- Electrical and Electronic Engineering 3.6k
- Cellular and Molecular Neuroscience 1.0k
- Computer Vision and Pattern Recognition 844
Countries citing papers authored by Michael Pfeiffer
This map shows the geographic impact of Michael Pfeiffer'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 Michael Pfeiffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pfeiffer more than expected).
Fields of papers citing papers by Michael Pfeiffer
This network shows the impact of papers produced by Michael Pfeiffer. 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 Michael Pfeiffer. The network helps show where Michael Pfeiffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Pfeiffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification Hit paper breakdown → | 2017 | 798 |
| 2 | Gland segmentation in colon histology images: The glas challenge contest Hit paper breakdown → | 2016 | 754 |
| 3 | Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing Hit paper breakdown → | 2015 | 750 |
| 4 | Training Deep Spiking Neural Networks Using Backpropagation Hit paper breakdown → | 2016 | 717 |
| 5 | Deep Learning With Spiking Neurons: Opportunities and Challenges Hit paper breakdown → | 2018 | 508 |
| 6 | 2013 | 335 | |
| 7 | 2013 | 201 | |
| 8 | 2016 | 131 | |
| 9 | 2017 | 109 | |
| 10 | 2016 | 99 | |
| 11 | 2019 | 94 | |
| 12 | 2020 | 90 | |
| 13 | 2015 | 79 | |
| 14 | STDP enables spiking neurons to detect hidden causes of their inputs | 2009 | 78 |
| 15 | 1996 | 69 | |
| 16 | 2015 | 67 | |
| 17 | 2014 | 63 | |
| 18 | 2016 | 58 | |
| 19 | 2009 | 54 | |
| 20 | 2015 | 50 |
About Michael Pfeiffer
Michael Pfeiffer is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Software, having authored 77 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (28 papers), Neural dynamics and brain function (22 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Neuroscience and Neural Engineering (8 papers), CCD and CMOS Imaging Sensors (7 papers), Adversarial Robustness in Machine Learning (5 papers), Neural Networks and Applications (5 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Cognitive Neuroscience (2.5k citations), Artificial Intelligence (2.2k citations), Electrical and Electronic Engineering (3.6k citations), Cellular and Molecular Neuroscience (1.0k citations) and Computer Vision and Pattern Recognition (844 citations). Michael Pfeiffer has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Shih‐Chii Liu, Tobi Delbrück, Thomas Pfeil, Daniel Neil, Jun Haeng Lee, Yuhuang Hu, Bodo Rueckauer, Jonathan Binas, Peter U. Diehl and Matthew Cook. Their work appears in journals such as Frontiers in Neuroscience, PLoS Computational Biology, Communicative & Integrative Biology, Journal of Neurophysiology and International Journal of Computer Vision.
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.