Thomas Pfeil

1.3k total citations · 1 hit paper
9 papers, 751 citations indexed

About

Thomas Pfeil is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Thomas Pfeil has authored 9 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 5 papers in Cognitive Neuroscience. Recurrent topics in Thomas Pfeil's work include Advanced Memory and Neural Computing (7 papers), Neural dynamics and brain function (5 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Thomas Pfeil is often cited by papers focused on Advanced Memory and Neural Computing (7 papers), Neural dynamics and brain function (5 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Thomas Pfeil collaborates with scholars based in Germany, Malaysia and Netherlands. Thomas Pfeil's co-authors include Michael Pfeiffer, Michael Schmuker, Martin Paul Nawrot, Karlheinz Meier, Johannes Schemmel, Elisabetta Chicca, Mihai A. Petrovici, Andreas Grübl, Eric Müller and Paul Müller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Frontiers in Neuroscience and BMC Neuroscience.

In The Last Decade

Thomas Pfeil

9 papers receiving 735 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.

Deep Learning With Spiking Neurons: Opportunities and Challenges

2018 424 citations Michael Pfeiffer, Thomas Pfeil Frontiers in Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Pfeil Germany	6	651	394	254	222	33	9	751
Peiran Gao United States	7	877 1.3×	587 1.5×	344 1.4×	397 1.8×	26 0.8×	7	1.2k
Jochen Martin Eppler Germany	9	262 0.4×	350 0.9×	93 0.4×	139 0.6×	11 0.3×	20	452
Tobias C. Potjans Japan	8	261 0.4×	651 1.7×	73 0.3×	404 1.8×	15 0.5×	15	781
Eustace Painkras United Kingdom	7	987 1.5×	481 1.2×	301 1.2×	402 1.8×	11 0.3×	11	1.1k
Athanasia Papoutsi Greece	9	177 0.3×	377 1.0×	108 0.4×	298 1.3×	14 0.4×	16	601
Vittorio Dante Italy	11	378 0.6×	305 0.8×	92 0.4×	239 1.1×	21 0.6×	17	464
Rudy Guyonneau France	7	586 0.9×	796 2.0×	207 0.8×	422 1.9×	18 0.5×	8	958
Ning Qiao Switzerland	13	1.3k 1.9×	607 1.5×	385 1.5×	545 2.5×	55 1.7×	38	1.4k
Ben Varkey Benjamin United States	8	999 1.5×	479 1.2×	386 1.5×	383 1.7×	25 0.8×	10	1.1k

Countries citing papers authored by Thomas Pfeil

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Pfeil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Pfeil

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Pfeil. A scholar is included among the top collaborators of Thomas Pfeil 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 Thomas Pfeil. Thomas Pfeil 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:

9 of 9 papers shown

1.

Pfeil, Thomas, et al.. (2023). How Many Events Make an Object? Improving Single-frame Object Detection on the 1 Mpx Dataset. University of Groningen research database (University of Groningen / Centre for Information Technology). 3913–3922. 1 indexed citations

2.

Pfeil, Thomas, et al.. (2020). Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks. Frontiers in Neuroscience. 14. 439–439. 73 indexed citations

3.

Li, Feng, Frank Hamelmann, Jingwei Zhang, et al.. (2020). A Novel Method to Evaluate Irradiance in PV Field without Irradiance Sensors. 4. 2496–2501. 1 indexed citations

4.

Li, Feng, et al.. (2020). Evaluation of unsupervised anomaly detection approaches on photovoltaic monitoring data. 2671–2674. 7 indexed citations

5.

Pfeiffer, Michael & Thomas Pfeil. (2018). Deep Learning With Spiking Neurons: Opportunities and Challenges. Frontiers in Neuroscience. 12. 774–774. 424 indexed citations breakdown →

6.

Schmuker, Michael, Thomas Pfeil, & Martin Paul Nawrot. (2014). A neuromorphic network for generic multivariate data classification. Proceedings of the National Academy of Sciences. 111(6). 2081–2086. 68 indexed citations

7.

Pfeil, Thomas, Andreas Grübl, Eric Müller, et al.. (2013). Six Networks on a Universal Neuromorphic Computing Substrate. Frontiers in Neuroscience. 7. 11–11. 110 indexed citations

8.

Schmuker, Michael, Thomas Pfeil, & Martin Paul Nawrot. (2013). Classification of multivariate data with a spiking neural network on neuromorphic hardware. BMC Neuroscience. 14(S1). 1 indexed citations

9.

Pfeil, Thomas, Tobias C. Potjans, Sven Schrader, et al.. (2012). Is a 4-Bit Synaptic Weight Resolution Enough? – Constraints on Enabling Spike-Timing Dependent Plasticity in Neuromorphic Hardware. Frontiers in Neuroscience. 6. 90–90. 66 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.

Explore authors with similar magnitude of impact