Martin Biehl

416 total citations
9 papers, 148 citations indexed

About

Martin Biehl is a scholar working on Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Biehl has authored 9 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 2 papers in Social Psychology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Biehl's work include Embodied and Extended Cognition (4 papers), Neural dynamics and brain function (2 papers) and Cellular Automata and Applications (2 papers). Martin Biehl is often cited by papers focused on Embodied and Extended Cognition (4 papers), Neural dynamics and brain function (2 papers) and Cellular Automata and Applications (2 papers). Martin Biehl collaborates with scholars based in Japan, United Kingdom and Australia. Martin Biehl's co-authors include Ryota Kanai, Acer Yu-Chan Chang, Tomas Kulvičius, Minija Tamošiūnaitė, Florentin Wörgötter, Felix A. Pollock, Nicholas Guttenberg, Ildefons Magrans de Abril, Daniel Polani and Takashi Ikegami and has published in prestigious journals such as Frontiers in Psychology, Robotics and Autonomous Systems and Complexity.

In The Last Decade

Martin Biehl

7 papers receiving 146 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Biehl Japan	5	84	43	25	23	17	9	148
Manuel Baltieri United Kingdom	7	168 2.0×	7 0.2×	5 0.2×	20 0.9×	45 2.6×	12	217
Dean E. Wooldridge United States	5	24 0.3×	22 0.5×	8 0.3×	23 1.0×	10 0.6×	17	146
Marina V. Khramova Russia	8	135 1.6×	4 0.1×	9 0.4×	24 1.0×	6 0.4×	42	210
Giacomo Sommavilla Italy	5	16 0.2×	14 0.3×	20 0.8×	28 1.2×	38 2.2×	7	96
Maria Mannone Italy	7	50 0.6×	5 0.1×	16 0.6×	54 2.3×	2 0.1×	46	163
Takehiko Maruyama Japan	6	39 0.5×	12 0.3×	11 0.4×	166 7.2×	5 0.3×	16	246
Samuel Clarke	7	7 0.1×	13 0.3×	5 0.2×	6 0.3×	6 0.4×	13	168
Grégoire Lefebvre France	6	15 0.2×	5 0.1×	9 0.4×	24 1.0×	3 0.2×	13	87
Brian Day United States	11	92 1.1×	3 0.1×	5 0.2×	50 2.2×	64 3.8×	24	399
Arne Eigenfeldt Canada	11	121 1.4×	12 0.3×	4 0.2×	47 2.0×	11 0.6×	43	269

Countries citing papers authored by Martin Biehl

Since Specialization

Citations

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

Fields of papers citing papers by Martin Biehl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Biehl

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Biehl. A scholar is included among the top collaborators of Martin Biehl 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 Martin Biehl. Martin Biehl 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.

Biehl, Martin, et al.. (2024). Interacting LLMs: A Dive into Collaborative AI. 152–155.

2.

Biehl, Martin & Olaf Witkowski. (2021). Investigating Transformational Complexity: Counting Functions a Region Induces on Another in Elementary Cellular Automata. Complexity. 2021(1). 1 indexed citations

3.

Biehl, Martin, Felix A. Pollock, & Ryota Kanai. (2021). A Technical Critique of Some Parts of the Free Energy Principle. Entropy. 23(3). 293–293. 27 indexed citations

4.

Chang, Acer Yu-Chan, et al.. (2020). Information Closure Theory of Consciousness. Frontiers in Psychology. 11. 1504–1504. 28 indexed citations

5.

Kanai, Ryota, et al.. (2019). Information generation as a functional basis of consciousness. Neuroscience of Consciousness. 2019(1). niz016–niz016. 36 indexed citations

6.

Biehl, Martin, Takashi Ikegami, & Daniel Polani. (2017). Specific and Complete Local Integration of Patterns in Bayesian Networks. Entropy. 19(5). 230–230.

7.

Biehl, Martin, Takashi Ikegami, & Daniel Polani. (2016). Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems. 722–729. 7 indexed citations

8.

Biehl, Martin & Daniel Polani. (2015). Apparent actions and apparent goal-directedness. University of Hertfordshire Research Archive (University of Hertfordshire). 511–511. 1 indexed citations

9.

Kulvičius, Tomas, et al.. (2013). Interaction learning for dynamic movement primitives used in cooperative robotic tasks. Robotics and Autonomous Systems. 61(12). 1450–1459. 48 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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