C. Posch

22.8k total citations · 2 hit papers
75 papers, 4.3k citations indexed

About

C. Posch is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Aerospace Engineering. According to data from OpenAlex, C. Posch has authored 75 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 19 papers in Cellular and Molecular Neuroscience and 9 papers in Aerospace Engineering. Recurrent topics in C. Posch's work include CCD and CMOS Imaging Sensors (45 papers), Advanced Memory and Neural Computing (42 papers) and Neuroscience and Neural Engineering (16 papers). C. Posch is often cited by papers focused on CCD and CMOS Imaging Sensors (45 papers), Advanced Memory and Neural Computing (42 papers) and Neuroscience and Neural Engineering (16 papers). C. Posch collaborates with scholars based in Austria, France and Switzerland. C. Posch's co-authors include Tobi Delbrück, P. Lichtsteiner, Daniel Matolin, Rainer Wohlgenannt, B. Linares-Barranco, Ryad Benosman, Teresa Serrano‐Gotarredona, Martin Litzenberger, Peter Schön and Eugenio Culurciello and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

C. Posch

71 papers receiving 4.1k citations

Hit Papers

align trajectories

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.

A 128$\times$128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor

2008 1.5k citations P. Lichtsteiner, C. Posch et al. profile →
A QVGA 143 dB Dynamic Range Frame-Free PWM Image Sensor With Lossless Pixel-Level Video Compression and Time-Domain CDS

2010 516 citations C. Posch, Daniel Matolin et al. profile →

Peers

Countries citing papers authored by C. Posch

Since Specialization

Citations

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

Fields of papers citing papers by C. Posch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Posch

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

All Works

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

20 of 20 papers shown

#	Work	Indexed citations
1	Photonic neuromorphic accelerators for event-based imaging flow cytometry 2024 ·Scientific Reports ·(unknown), A. Tsirigotis, (unknown), Stavros Deligiannidis, Adonis Bogris, C. Posch, (unknown), (unknown)	2
2	Improving the Classification Accuracy in Label-Free Flow Cytometry Using Event-Based Vision and Simple Logistic Regression 2023 ·IEEE Journal of Selected Topics in Quantum Electronics ·(unknown), (unknown), Joni Dambre, (unknown), C. Posch, Peter Bienstman	8
3	Real-time face & eye tracking and blink detection using event cameras 2021 ·Neural Networks ·Cian Ryan, Brian O’Sullivan, (unknown), (unknown), Joseph Lemley, (unknown), C. Posch, Etienne Pérot	61
4	Dynamic parameter estimation and prediction over consecutive scales, based on moving horizon estimation: applied to an industrial cell culture seed train 2020 ·Bioprocess and Biosystems Engineering ·(unknown), C. Posch, Ralf Pörtner, Björn Frahm	8
5	Investigation of cell line specific responses to pH inhomogeneity and consequences for process design 2020 ·Engineering in Life Sciences ·(unknown), Thomas Hartmann, C. Posch, Dirk Behrens, Christoph Herwig	8
6	Towards integration of prior knowledge and propagation of uncertainty for digital twins of biopharmaceutical production processes 2020 ·Chemie Ingenieur Technik ·(unknown), C. Posch, Ralf Pörtner, Björn Frahm	0
7	5.10 A 1280×720 Back-Illuminated Stacked Temporal Contrast Event-Based Vision Sensor with 4.86µm Pixels, 1.066GEPS Readout, Programmable Event-Rate Controller and Compressive Data-Formatting Pipeline 2020 ·(unknown), (unknown), Daniel Matolin, (unknown), (unknown), (unknown), Pooria Mostafalu, (unknown), (unknown), (unknown), (unknown), Hayato Wakabayashi, Yusuke Oike, C. Posch	125
8	Predicting industrial‐scale cell culture seed trains–A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method 2019 ·Biotechnology and Bioengineering ·(unknown), C. Posch, (unknown), (unknown), Claus Weihs, Ralf Pörtner, Björn Frahm	20
9	A stimulation platform for optogenetic and bionic vision restoration 2017 ·Francesco Galluppi, Didier Pruneau, Joël Chavas, Xavier Lagorce, C. Posch, (unknown), (unknown), (unknown), (unknown), Ryad Benosman	3
10	The impact of pH inhomogeneities on CHO cell physiology and fed‐batch process performance – two‐compartment scale‐down modelling and intracellular pH excursion 2017 ·Biotechnology Journal ·(unknown), Philipp Braun, (unknown), C. Posch, Dirk Behrens, Christoph Herwig, Jens Fricke	33
11	Event-Based Tone Mapping for Asynchronous Time-Based Image Sensor 2016 ·Frontiers in Neuroscience ·(unknown), Sio-Hoï Ieng, C. Posch, Ryad Benosman	8
12	Event-based 3D reconstruction from neuromorphic retinas 2013 ·Neural Networks ·(unknown), Sio-Hoï Ieng, C. Posch, Ryad Benosman	42
13	Next Generation Bio-inspired Vision. 2011 ·ERCIM news/ERCIM news online edition ·C. Posch	2
14	Asynchronous Event-Based Hebbian Epipolar Geometry 2011 ·IEEE Transactions on Neural Networks ·Ryad Benosman, Sio-Hoï Ieng, (unknown), C. Posch	40
15	Pulse-Modulation Imaging—Review and Performance Analysis 2011 ·IEEE Transactions on Biomedical Circuits and Systems ·(unknown), Daniel Matolin, Amine Bermak, C. Posch	59
16	Live demonstration: Asynchronous time-based image sensor (ATIS) camera with full-custom AE processor 2010 ·C. Posch, Daniel Matolin, Rainer Wohlgenannt, Michael Hofstätter, Peter Schön, Martin Litzenberger, (unknown), Heinrich Garn	13
17	An integrated 20-bit 33/5M events/s AER sensor interface with 10ns time-stamping and hardware-accelerated event pre-processing 2009 ·Michael Hofstätter, Peter Schön, C. Posch	7
18	A 128 X 128 120db 30mw asynchronous vision sensor that responds to relative intensity change 2006 ·P. Lichtsteiner, C. Posch, Tobi Delbrück	206
19	Coherence in signal level measurements between GSM900 and GSM1800 bands and its application to single BCCH operation 1999 ·Troels B. Sørensen, Preben Mogensen, C. Posch, (unknown)	1
20	SCTA-a rad-hard BiCMOS analogue readout ASIC for the ATLAS Semiconductor Tracker 1997 ·IEEE Transactions on Nuclear Science ·F. Anghinolfi, W. Dąbrowski, E. Delagnes, J. Kaplon, U. Koetz, P. Jarron, F. Lugiez, C. Posch, S. Roe, P. Weilhammer	64

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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