Rainer Wohlgenannt

1.2k total citations · 1 hit paper
16 papers, 807 citations indexed

About

Rainer Wohlgenannt is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rainer Wohlgenannt has authored 16 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 5 papers in Aerospace Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rainer Wohlgenannt's work include CCD and CMOS Imaging Sensors (15 papers), Advanced Memory and Neural Computing (12 papers) and Infrared Target Detection Methodologies (5 papers). Rainer Wohlgenannt is often cited by papers focused on CCD and CMOS Imaging Sensors (15 papers), Advanced Memory and Neural Computing (12 papers) and Infrared Target Detection Methodologies (5 papers). Rainer Wohlgenannt collaborates with scholars based in Austria and Finland. Rainer Wohlgenannt's co-authors include C. Posch, Daniel Matolin, Martin Litzenberger, Kimmo Kansanen, D. Tujkovic, Tadashi Matsumoto, Peter Schön, Thomas Maier, Heinrich Garn and Michael Hofstätter and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Sensors Journal and Analog Integrated Circuits and Signal Processing.

In The Last Decade

Rainer Wohlgenannt

16 papers receiving 781 citations

Hit Papers

A QVGA 143 dB Dynamic Ran... 2010 2026 2015 2020 2010 100 200 300 400 500
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. 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. IEEE Journal of Solid-State Circuits profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rainer Wohlgenannt 701 225 198 122 111 16 807
Daniel Matolin 927 1.3× 292 1.3× 232 1.2× 158 1.3× 163 1.5× 27 1.1k
Christian Brändli 838 1.2× 215 1.0× 238 1.2× 295 2.4× 185 1.7× 14 1.1k
Xavier Lagorce 724 1.0× 161 0.7× 312 1.6× 231 1.9× 118 1.1× 17 919
Raphael Berner 1.2k 1.7× 449 2.0× 392 2.0× 270 2.2× 155 1.4× 23 1.4k
Juan A. Leñero‐Bardallo 456 0.7× 181 0.8× 96 0.5× 39 0.3× 87 0.8× 65 533
Charles De Clercq 366 0.5× 79 0.4× 126 0.6× 134 1.1× 67 0.6× 10 464
Philippe O. Pouliquen 515 0.7× 106 0.5× 114 0.6× 83 0.7× 63 0.6× 65 787
M. Gottardi 740 1.1× 143 0.6× 45 0.2× 194 1.6× 161 1.5× 107 902
Kyungmin Kim 670 1.0× 276 1.2× 118 0.6× 81 0.7× 31 0.3× 48 897
Lorenz K. Müller 268 0.4× 107 0.5× 126 0.6× 87 0.7× 19 0.2× 20 423

Countries citing papers authored by Rainer Wohlgenannt

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Wohlgenannt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Wohlgenannt

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

All Works

16 of 16 papers shown
1.
Posch, C., Daniel Matolin, Rainer Wohlgenannt, et al.. (2010). Live demonstration: Asynchronous time-based image sensor (ATIS) camera with full-custom AE processor. 13 indexed citations
2.
Posch, C., Daniel Matolin, & Rainer Wohlgenannt. (2010). A QVGA 143dB dynamic range asynchronous address-event PWM dynamic image sensor with lossless pixel-level video compression. 400–401. 84 indexed citations
3.
Matolin, Daniel, Rainer Wohlgenannt, Martin Litzenberger, & C. Posch. (2010). A load-balancing readout method for large event-based PWM imaging arrays. 361–364. 8 indexed citations
4.
Posch, C., Daniel Matolin, Rainer Wohlgenannt, et al.. (2010). Biomimetic frame-free HDR camera with event-driven PWM image/video sensor and full-custom address-event processor. Zenodo (CERN European Organization for Nuclear Research). 254–257. 4 indexed citations
5.
Posch, C., Daniel Matolin, & Rainer Wohlgenannt. (2010). A QVGA 143 dB Dynamic Range Frame-Free PWM Image Sensor With Lossless Pixel-Level Video Compression and Time-Domain CDS. IEEE Journal of Solid-State Circuits. 46(1). 259–275. 516 indexed citations breakdown →
6.
Posch, C., Daniel Matolin, & Rainer Wohlgenannt. (2010). High-DR frame-free PWM imaging with asynchronous AER intensity encoding and focal-plane temporal redundancy suppression. 2430–2433. 17 indexed citations
7.
Posch, C., Daniel Matolin, & Rainer Wohlgenannt. (2009). A two-stage capacitive-feedback differencing amplifier for temporal contrast IR sensors. Analog Integrated Circuits and Signal Processing. 64(1). 45–54. 9 indexed citations
8.
Matolin, Daniel, C. Posch, & Rainer Wohlgenannt. (2009). Area and power reduction techniques for time-based image sensor pixel design. 18. 414–417. 3 indexed citations
9.
Matolin, Daniel, C. Posch, & Rainer Wohlgenannt. (2009). True correlated double sampling and comparator design for time-based image sensors. 18. 1269–1272. 22 indexed citations
10.
Posch, C., et al.. (2009). A Microbolometer Asynchronous Dynamic Vision Sensor for LWIR. IEEE Sensors Journal. 9(6). 654–664. 24 indexed citations
11.
Matolin, Daniel, C. Posch, Rainer Wohlgenannt, & Thomas Maier. (2008). A 64×64 pixel temporal contrast microbolometer infrared sensor. 47. 1644–1647. 5 indexed citations
12.
Posch, C., Daniel Matolin, & Rainer Wohlgenannt. (2008). An asynchronous time-based image sensor. 2130–2133. 83 indexed citations
13.
Wohlgenannt, Rainer, Daniel Matolin, Thomas Maier, & C. Posch. (2008). Characterization of a temporal contrast microbolometer infrared sensor. 47. 866–869. 1 indexed citations
14.
Posch, C., Rainer Wohlgenannt, Daniel Matolin, & Thomas Maier. (2008). A temporal contrast IR vision sensor. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7100. 71002A–71002A. 1 indexed citations
15.
Posch, C., Daniel Matolin, & Rainer Wohlgenannt. (2007). A Two-Stage Capacitive-Feedback Differencing Amplifier for Temporal Contrast IR Sensors. 1071–1074. 6 indexed citations
16.
Wohlgenannt, Rainer, Kimmo Kansanen, D. Tujkovic, & Tadashi Matsumoto. (2005). Outage-based LDPC Code Design for SC/MMSE Turbo-Equalization. 1. 505–509. 11 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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