Gregor Lenz

1.6k total citations · 1 hit paper
12 papers, 361 citations indexed

About

Gregor Lenz is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Gregor Lenz has authored 12 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Gregor Lenz's work include Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (5 papers) and Gaze Tracking and Assistive Technology (2 papers). Gregor Lenz is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (5 papers) and Gaze Tracking and Assistive Technology (2 papers). Gregor Lenz collaborates with scholars based in France, Switzerland and United States. Gregor Lenz's co-authors include Jason K. Eshraghian, Xinxin Wang, Wei Lü, Mohammed Bennamoun, Emre Neftci, Max Ward, Doo Seok Jeong, Girish Dwivedi, Ryad Benosman and Sadique Sheik and has published in prestigious journals such as Nature Communications, Proceedings of the IEEE and Frontiers in Neuroscience.

In The Last Decade

Gregor Lenz

12 papers receiving 353 citations

Hit Papers

Training Spiking Neural Networks Using Lessons From Deep ... 2023 2026 2024 2025 2023 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gregor Lenz France 5 274 134 126 73 18 12 361
Michael Hersche Switzerland 10 193 0.7× 210 1.6× 167 1.3× 85 1.2× 47 2.6× 17 446
Yanqi Chen China 5 451 1.6× 302 2.3× 207 1.6× 60 0.8× 29 1.6× 6 553
Amirreza Yousefzadeh Netherlands 13 356 1.3× 136 1.0× 114 0.9× 118 1.6× 30 1.7× 37 396
Filip Ponulak Poland 4 316 1.2× 234 1.7× 172 1.4× 93 1.3× 17 0.9× 7 414
Cory Merkel United States 12 366 1.3× 123 0.9× 202 1.6× 108 1.5× 19 1.1× 47 439
Thomas Dalgaty France 13 400 1.5× 131 1.0× 142 1.1× 125 1.7× 15 0.8× 26 468
Jianhao Ding China 6 325 1.2× 220 1.6× 128 1.0× 62 0.8× 25 1.4× 19 388
Byunggook Na South Korea 6 252 0.9× 159 1.2× 141 1.1× 46 0.6× 75 4.2× 10 370
Arfan Ghani United Kingdom 8 226 0.8× 117 0.9× 82 0.7× 82 1.1× 17 0.9× 34 312
Stanisław Woźniak Switzerland 9 265 1.0× 102 0.8× 120 1.0× 95 1.3× 9 0.5× 20 334

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-authorship network of co-authors of Gregor Lenz

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

All Works

12 of 12 papers shown
1.
Lenz, Gregor, Dylan R. Muir, Peng Zhou, et al.. (2024). Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing. Nature Communications. 15(1). 8122–8122. 24 indexed citations
2.
Eshraghian, Jason K., Max Ward, Emre Neftci, et al.. (2023). Training Spiking Neural Networks Using Lessons From Deep Learning. Proceedings of the IEEE. 111(9). 1016–1054. 297 indexed citations breakdown →
3.
Lenz, Gregor, et al.. (2023). EXODUS: Stable and efficient training of spiking neural networks. Frontiers in Neuroscience. 17. 1110444–1110444. 8 indexed citations
4.
Büchel, Julian, et al.. (2022). Adversarial attacks on spiking convolutional neural networks for event-based vision. Frontiers in Neuroscience. 16. 1068193–1068193. 6 indexed citations
5.
Lenz, Gregor, et al.. (2022). A sampling-based approach for efficient clustering in large datasets. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12393–12402. 3 indexed citations
6.
Lenz, Gregor, et al.. (2022). Efficient spatio-temporal feature clustering for large event-based datasets. Neuromorphic Computing and Engineering. 2(4). 44004–44004. 1 indexed citations
7.
Lenz, Gregor, et al.. (2020). A Mixed-Signal Spatio-Temporal Signal Classifier for On-Sensor Spike Sorting. 54. 1–5. 6 indexed citations
9.
Lenz, Gregor, Sio-Hoï Ieng, & Ryad Benosman. (2018). High Speed Event-based Face Detection and Tracking in the Blink of an Eye. arXiv (Cornell University). 3 indexed citations
10.
Lenz, Gregor, Sio-Hoï Ieng, & Ryad Benosman. (2018). Event-based Dynamic Face Detection and Tracking Based on Activity.. 4 indexed citations
11.
Lenz, Gregor, et al.. (2014). LUMOR: An App for Standardized Control and Monitoring of a Porcine Lung and its Nutrient Cycle. Studies in health technology and informatics. 198. 79–86. 1 indexed citations
12.
Lenz, Gregor, et al.. (2008). Die 3dimensionale Ultraschalldarstellung der Säuglingshüfte. Ultraschall in der Medizin - European Journal of Ultrasound. 11(6). 302–305. 4 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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