Jörg Conradt

3.8k citations
82 papers · 2.4k · 1 hit paper · h-index 26

Impact in

Papers in

Jörg Conradt

80 papers receiving 2.3k citations

Jörg Conradt's Hit Papers

Event-Based Vision: A Survey 2020 · 423 citations
4230+2+4Years since publication100200300400

Peers

Jörg Conradt
Comparison fields: 5 of 119
  • Cognitive Neuroscience 790
  • Cellular and Molecular Neuroscience 492
  • Computer Vision and Pattern Recognition 512
  • Electrical and Electronic Engineering 1.2k
  • Instrumentation 73
Replace Chiara Bartolozzi with:
Chiara Bartolozzi Italy
Ryad Benosman France
Garrick Orchard Singapore
Dezhi Zheng China
P. Lichtsteiner Switzerland
Sio-Hoï Ieng France
Huajin Tang China
C. Posch Austria
Georgios Ch. Sirakoulis Greece
Ralph Etienne‐Cummings United States
Jörg Conradt relative to Chiara Bartolozzi Italy Chiara Bartolozzi's profile →
Citations per field
00.5×1.5×
Chiara Bartolozzi · 1×
Citations per year

Countries citing papers authored by Jörg Conradt

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Conradt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jörg Conradt, 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 Jörg Conradt Line = papers co-authored together Jörg Conradt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Event-Based Vision: A Survey
Hit paper breakdown →
2020423
2 2020208
3 2007115
4 2009105
5 201493
6 200585
7 202279
8 201766
9 200259
10 202057
11 201652
12 200251
13 200149
14 200943
15 201242
16 202040
17 202040
18 201839
19
Distributed Central Pattern Generator Control for a Serpentine Robot
200337
20 201834

About Jörg Conradt

Jörg Conradt is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 82 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (39 papers), Neuroscience and Neural Engineering (22 papers), Neural dynamics and brain function (20 papers), CCD and CMOS Imaging Sensors (19 papers), EEG and Brain-Computer Interfaces (8 papers), Gaze Tracking and Assistive Technology (6 papers), Photoreceptor and optogenetics research (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Cognitive Neuroscience (790 citations), Cellular and Molecular Neuroscience (492 citations), Computer Vision and Pattern Recognition (512 citations), Electrical and Electronic Engineering (1.2k citations) and Instrumentation (73 citations). Jörg Conradt has collaborated with scholars based in Germany, Sweden and Switzerland. Frequent co-authors include Alois Knoll, Guang Chen, Tobi Delbrück, Florian Röhrbein, David Weikersdorfer, Yulia Sandamirskaya, Hu Cao, Garrick Orchard, Chiara Bartolozzi and Andrew J. Davison. Their work appears in journals such as Frontiers in Neurorobotics, Robotics and Autonomous Systems, Sensors, Journal of Neural Engineering and Journal of Neurophysiology.

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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