Gregor Lenz

1.6k citations
12 papers · 361 · 1 hit paper · h-index 5

Impact in

Papers in

Gregor Lenz

12 papers receiving 353 citations

Gregor Lenz's Hit Papers

Training Spiking Neural Networks Using Lessons From Deep Learning 2023 · 297 citations
2970+1+2Years since publication50100150200250

Peers

Gregor Lenz
Comparison fields: 5 of 56
  • Cognitive Neuroscience 134
  • Electrical and Electronic Engineering 274
  • Cellular and Molecular Neuroscience 73
  • Artificial Intelligence 126
  • Human-Computer Interaction 8
Replace Eric Hunsberger with:
Eric Hunsberger Canada
Bernhard Vogginger Germany
Jianhao Ding China
Amirreza Yousefzadeh Netherlands
Yanqi Chen China
Fernando Perez‐Peña Spain
Thomas Dalgaty France
Cédric Meyer France
Jaehyun Kim South Korea
Corey Lammie Australia
Gregor Lenz relative to Eric Hunsberger Canada Eric Hunsberger's profile →
Citations per field
00.5×6.5×
Eric Hunsberger · 1×
Citations per year

Countries citing papers authored by Gregor Lenz

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Lenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Gregor Lenz, 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 Gregor Lenz Line = papers co-authored together Gregor Lenz links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Training Spiking Neural Networks Using Lessons From Deep Learning
Hit paper breakdown →
2023297
2 202424
3 20238
4 20226
5 20206
6 20084
7 20194
8
Event-based Dynamic Face Detection and Tracking Based on Activity.
20184
9
High Speed Event-based Face Detection and Tracking in the Blink of an Eye
20183
10 20223
11 20141
12 20221

About Gregor Lenz

Gregor Lenz is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 12 papers that have together received 361 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (5 papers), Gaze Tracking and Assistive Technology (2 papers), EEG and Brain-Computer Interfaces (2 papers), Neural Networks and Reservoir Computing (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Advanced Neural Network Applications (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Cognitive Neuroscience (134 citations), Electrical and Electronic Engineering (274 citations), Cellular and Molecular Neuroscience (73 citations), Artificial Intelligence (126 citations) and Human-Computer Interaction (8 citations). Gregor Lenz has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Jason K. Eshraghian, Wei Lü, Max Ward, Emre Neftci, Mohammed Bennamoun, Doo Seok Jeong, Girish Dwivedi, Xinxin Wang, Sadique Sheik and Ryad Benosman. Their work appears in journals such as Frontiers in Neuroscience, Nature Communications, Proceedings of the IEEE, Ultraschall in der Medizin - European Journal of Ultrasound and Studies in health technology and informatics.

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