Tim Genewein

1.8k total citations · 1 hit paper
13 papers, 996 citations indexed

About

Tim Genewein is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Tim Genewein has authored 13 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Tim Genewein's work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (4 papers) and Neural Networks and Applications (3 papers). Tim Genewein is often cited by papers focused on Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (4 papers) and Neural Networks and Applications (3 papers). Tim Genewein collaborates with scholars based in Germany, Switzerland and India. Tim Genewein's co-authors include Daniel A. Braun, Jan M. Köhler, Andreas Nürnberger, William Beluch, Bastian Bischoff, Jan Hendrik Metzen, Volker Fischer, Jordi Grau-Moya, Felix Leibfried and Zhen Peng and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, PLoS Computational Biology and Frontiers in Human Neuroscience.

In The Last Decade

Tim Genewein

13 papers receiving 972 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.

The Power of Ensembles for Active Learning in Image Classification

2018 336 citations William Beluch, Tim Genewein et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Genewein Germany	9	380	338	177	106	102	13	996
Jiří Mekyska Czechia	24	316 0.8×	330 1.0×	359 2.0×	195 1.8×	42 0.4×	87	2.0k
Sang Wan Lee South Korea	16	313 0.8×	594 1.8×	309 1.7×	158 1.5×	52 0.5×	91	1.3k
Zdeněk Smékal Czechia	19	278 0.7×	221 0.7×	264 1.5×	131 1.2×	26 0.3×	68	1.5k
Vicente L. Malave United States	7	285 0.8×	1.2k 3.5×	137 0.8×	134 1.3×	209 2.0×	7	1.6k
David Carmel United Kingdom	23	311 0.8×	1.0k 3.0×	181 1.0×	335 3.2×	268 2.6×	59	1.7k
C. Pappas Greece	20	156 0.4×	711 2.1×	159 0.9×	415 3.9×	122 1.2×	72	1.5k
Sampath Jayarathna United States	17	104 0.3×	453 1.3×	182 1.0×	72 0.7×	86 0.8×	80	1.1k
Okko Räsänen Finland	21	606 1.6×	242 0.7×	122 0.7×	306 2.9×	44 0.4×	101	1.4k
Juan Rafael Orozco‐Arroyave Colombia	29	1.2k 3.2×	267 0.8×	133 0.8×	530 5.0×	68 0.7×	154	2.8k
Shengfu Lu China	17	147 0.4×	414 1.2×	65 0.4×	273 2.6×	59 0.6×	51	938

Countries citing papers authored by Tim Genewein

Since Specialization

Citations

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

Fields of papers citing papers by Tim Genewein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Genewein

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

13 of 13 papers shown

1.

Genewein, Tim, et al.. (2023). Randomized Positional Encodings Boost Length Generalization of Transformers. 1889–1903. 10 indexed citations

2.

Schmeink, Anke, et al.. (2018). Variational Network Quantization. International Conference on Learning Representations. 18 indexed citations

3.

Beluch, William, Tim Genewein, Andreas Nürnberger, & Jan M. Köhler. (2018). The Power of Ensembles for Active Learning in Image Classification. 9368–9377. 336 indexed citations breakdown →

4.

Peng, Zhen, Tim Genewein, Felix Leibfried, & Daniel A. Braun. (2017). An information-theoretic on-line update principle for perception-action coupling. 7. 789–796. 3 indexed citations

5.

Metzen, Jan Hendrik, Tim Genewein, Volker Fischer, & Bastian Bischoff. (2017). On Detecting Adversarial Perturbations. arXiv (Cornell University). 88 indexed citations

6.

Genewein, Tim & Daniel A. Braun. (2016). Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. Biological Cybernetics. 110(2-3). 135–150. 2 indexed citations

7.

Genewein, Tim, Felix Leibfried, Jordi Grau-Moya, & Daniel A. Braun. (2015). Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle. Frontiers in Robotics and AI. 2. 60 indexed citations

8.

Genewein, Tim, et al.. (2015). Structure Learning in Bayesian Sensorimotor Integration. PLoS Computational Biology. 11(8). e1004369–e1004369. 12 indexed citations

9.

Genewein, Tim. (2015). Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle: supplementary code (v1.1.0). Frontiers in Robotics and AI. 1 indexed citations

10.

Peng, Zhen, Tim Genewein, & Daniel A. Braun. (2014). Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences. Frontiers in Human Neuroscience. 8. 17 indexed citations

11.

Genewein, Tim & Daniel A. Braun. (2014). Occam's Razor in sensorimotor learning. Proceedings of the Royal Society B Biological Sciences. 281(1783). 20132952–20132952. 15 indexed citations

12.

Genewein, Tim & Daniel A. Braun. (2013). Abstraction in Decision-Makers with Limited Information Processing Capabilities. Max Planck Digital Library. 1–9. 2 indexed citations

13.

Genewein, Tim & Daniel A. Braun. (2012). A sensorimotor paradigm for Bayesian model selection. Frontiers in Human Neuroscience. 6. 291–291. 432 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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