Héctor Zenil

3.1k citations
77 papers · 998 · h-index 19

Impact in

Papers in

Héctor Zenil

71 papers receiving 944 citations

Peers

Héctor Zenil
Comparison fields: 5 of 121
  • Computational Theory and Mathematics 382
  • Artificial Intelligence 347
  • Statistical and Nonlinear Physics 126
  • Cognitive Neuroscience 157
  • Statistics and Probability 50
Replace Nihat Ay with:
Nihat Ay Germany
Daniel Polani United Kingdom
Kurt Gödel United States
Jean-Paul Delahaye France
Clifford A Pickover United States
Susanne Still United States
Mark Burgin United States
David L. Dowe Australia
Edward D. Weinberger Germany
David P. Feldman United States
Héctor Zenil relative to Nihat Ay Germany Nihat Ay's profile →
Citations per field
00.5×2.7×
Nihat Ay · 1×
Citations per year

Countries citing papers authored by Héctor Zenil

Since Specialization
Citations

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

Fields of papers citing papers by Héctor Zenil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Héctor Zenil, 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 Héctor Zenil Line = papers co-authored together Héctor Zenil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
1Calculating Kolmogorov Complexity from the Output Frequency Distributions of Small Turing Machines
201483
2 201877
3 201152
4 201846
5 201243
6 201842
7 201739
8 201538
9 201737
10 201336
11 201431
12 201528
13 201726
14 201126
15 202023
16 201121
17 201221
18 201418
19 201318
20 201717

About Héctor Zenil

Héctor Zenil is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics and Statistics and Probability, having authored 77 papers that have together received 998 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (43 papers), Evolutionary Algorithms and Applications (21 papers), Cellular Automata and Applications (18 papers), Gene Regulatory Network Analysis (12 papers), Algorithms and Data Compression (10 papers), Benford’s Law and Fraud Detection (7 papers), Topological and Geometric Data Analysis (5 papers) and semigroups and automata theory (5 papers). The work is most often cited by research in Computational Theory and Mathematics (382 citations), Artificial Intelligence (347 citations), Statistical and Nonlinear Physics (126 citations), Cognitive Neuroscience (157 citations) and Statistics and Probability (50 citations). Héctor Zenil has collaborated with scholars based in Sweden, United Kingdom and France. Frequent co-authors include Jean-Paul Delahaye, Fernando Soler Toscano, Nicolas Gauvrit, Narsis A. Kiani, Jesper Tegnér, Henrik Singmann, Paul Davies, Sara Imari Walker, Andrew Adamatzky and Ard A. Louis. Their work appears in journals such as Complexity, Behavior Research Methods, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Artificial Life and Visual Cognition.

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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