Michael Pfeiffer

8.0k citations

70 papers · 4.8k indexed · 5 hit papers · h-index 25

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

Cognitive Neuroscience 22
- Neural dynamics and brain function 21
Software 4

Co-authors: Shih‐Chii Liu Tobi Delbrück Daniel Neil Thomas Pfeil Jun Haeng Lee Yuhuang Hu Bodo Rueckauer Jonathan Binas
Journals: Frontiers in Neuroscience (9 papers)PLoS Computational Biology (3 papers)Journal of Neurophysiology (1 paper)European Journal of Pharmacology (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
Partner nations: Switzerland Germany Austria

In The Last Decade

Michael Pfeiffer

61 papers receiving 4.7k citations

Hit Papers

5 papers align trajectories log scale

Deep Learning With Spiking Neurons: Opportunities and Challenges 2018 · 424 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 Frontiers in Neuroscience
2017 Frontiers in Neuroscience
2016 Medical Image Analysis
2016 Frontiers in Neuroscience
2015 Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing

Peers

Countries citing papers authored by Michael Pfeiffer

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Michael Pfeiffer Line = papers co-authored together Michael Pfeiffer links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning International Conference on Learning Representations ·A. P. Kostin, William Beluch, Bin Yang, Michael Pfeiffer, Dan Zhang	2021	8
2	Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks Frontiers in Neuroscience ·Samson Tilahun, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca	2020	73
3	Conditioning by subthreshold synaptic input changes the intrinsic firing pattern of CA3 hippocampal neurons Journal of Neurophysiology ·I Langley, Federico Brandalise, Keerti Upadhyay, Michael Pfeiffer, Hoon-Young Kim, Urs Gerber, Rodney J. Douglas	2019	14
4	Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification Frontiers in Neuroscience ·Bodo Rueckauer, RenéR.J. Perik, Yuhuang Hu, Michael Pfeiffer, Shih‐Chii Liu Hit paper breakdown →	2017	684
5	Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences Zurich Open Repository and Archive (University of Zurich) ·Daniel Neil, Michael Pfeiffer, Shih‐Chii Liu	2016	113
6	Gland segmentation in colon histology images: The glas challenge contest Medical Image Analysis ·Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng‐Ann Heng, Yunbo Guo, 阿仁, Bogdan J. Matuszewski, Elia Bruni, Krishna Majumder, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David Snead, Nasir Rajpoot Hit paper breakdown →	2016	570
7	DVS Benchmark Datasets for Object Tracking, Action Recognition, and Object Recognition Frontiers in Neuroscience ·Yuhuang Hu, Hongjie Liu, Michael Pfeiffer, Tobi Delbrück	2016	85
8	A framework for plasticity implementation on the SpiNNaker neural architecture Frontiers in Neuroscience ·Francesco Galluppi, Xavier Lagorce, Evangelos Stromatias, Michael Pfeiffer, Luis A. Plana, Steve Furber, Ryad Benosman	2015	42
9	Developmental Self-Construction and -Configuration of Functional Neocortical Neuronal Networks PLoS Computational Biology ·Roman Bauer, Frédéric Zubler, Sabina Pfister, Asher Finkel, Michael Pfeiffer, Dylan R. Muir, Rodney J. Douglas	2014	19
10	Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity Frontiers in Computational Neuroscience ·Jonathan Binas, Ueli Rutishauser, Giacomo Indiveri, Michael Pfeiffer	2014	27
11	STDP enables spiking neurons to detect hidden causes of their inputs Neural Information Processing Systems ·Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass	2009	64
12	Alternative implication of CXCR4 in JAK2/STAT3 activation in small cell lung cancer British Journal of Cancer ·Michael Pfeiffer, Josea M. Loapez-Novoa, Marion Leick, Julie Catusse, Annette Schmitt‐Graeff, Meike Burger	2009	51
13	Hebbian Learning of Bayes Optimal Decisions Neural Information Processing Systems ·Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass	2008	12
14	Der Ersatzneubau des Schwebeträgers Hochdonn – Konzepte und Realisierung Stahlbau ·美穂子相田, 英明近藤, Michael Pfeiffer	2007	0
15	Vom verfahrbaren Spielfeld zum weit gespannten Dachtragwerk - Die Arena “AufSchalke” und die AWD-Arena Hannover Stahlbau ·Y Chen, Michael Pfeiffer	2005	1
16	Die Haseltalbrücke bei Suhl – Ausführungsplanung, Fertigung und Montage Stahlbau ·Carlos Alberto Souto Godoi Filho, Alexander Kupsch, Michael Pfeiffer	2005	1
17	Intelligent Navigation in Image Databases PUB – Publications at Bielefeld University (Bielefeld University) ·Tamanna Moore, Michael Pfeiffer, Christian Bauckhage, Gerhard Sagerer	2004	0
18	Sodium bromide: effects on different patterns of epileptiform activity, extracellular pH changes and GABAergic inhibition Naunyn-Schmiedeberg s Archives of Pharmacology ·H. Meierkord, 小川英人, Загдын Зинаида Моисеевна, Rafael Gutiérrez, Michael Pfeiffer, Andreas Draguhn, Haosheng Wu, Uwe Heinemann	2000	21
19	Age-dependence of the anticonvulsant effects of the GABA uptake inhibitor tiagabine in vitro European Journal of Pharmacology ·Haizeng Liu, Christiane Frahm, Michael Pfeiffer, Anaísa Pasqual Salgado Cintra, Jan Kopczynski, Markus Numberger, Dominique Engel, Uwe Heinemann, Andreas Draguhn	1999	19
20	A simple hardware model for the direct observation of voltage-clamp performance under realistic conditions Journal of Neuroscience Methods ·Andreas Draguhn, Michael Pfeiffer, Uwe Heinemann, Vahid Hemmati	1997	9

About Michael Pfeiffer

Michael Pfeiffer is a scholar working on Cognitive Neuroscience, Software, Developmental Biology, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 70 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Neural dynamics and brain function (21 papers), Ferroelectric and Negative Capacitance Devices (12 papers), Neuroscience and Neural Engineering (8 papers), Image Retrieval and Classification Techniques (6 papers), CCD and CMOS Imaging Sensors (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Cognitive Neuroscience (2.2k citations), Artificial Intelligence (1.8k citations), Electrical and Electronic Engineering (3.1k citations), Cellular and Molecular Neuroscience (930 citations) and Computer Vision and Pattern Recognition (671 citations). Michael Pfeiffer has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Shih‐Chii Liu, Tobi Delbrück, Daniel Neil, Thomas Pfeil, Jun Haeng Lee, Yuhuang Hu, Bodo Rueckauer, Jonathan Binas, Matthew Cook and Peter U. Diehl. Their work appears in journals such as Frontiers in Neuroscience, PLoS Computational Biology, Journal of Neurophysiology, European Journal of Pharmacology and IEEE Transactions on Neural Networks and Learning Systems.

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.

Explore authors with similar magnitude of impact