My posts on
My former Anima Ex Machina blog
All Publications
Over 140 peer-reviewed contributions indexed in
H-index and list sorted by citation numbers available on
Peer-reviewed Papers
Letter numbering code:
J: journal | P: proceeding or chapter
# co-first author if not listed first
* corresponding author | ^ sorted alphabetically
| Selected List |
140. J89. Similarity analysis of blood count reference intervals reveals no ethnic or geographic structure and supports personalised values
K. Wu, A. Uthamacumaran, A. Fulton, H. Zenil
npj Digital Public Health (accepted), 2026 [preprint]
139. J88. A Review of Point-of-Care Devices for Blood-Testing Towards AI-driven Remote Digital Care, Precision Healthcare and Predictive Medicine
J. Gu, A. Uthamacumaran, H. Zenil
Computer Methods and Programs in Biomedicine Update, vol. 10, 100258, 2026. [online]
138. J87. Multi-omic Enriched Blood-Derived Digital Signatures Reveal Mechanistic and Confounding Disease Clusters for Differential Diagnosis
B. Liu, A. Uthamacumaran, A. Fulton, H. Zenil
Frontiers in Network Physiology, vol. 6, 2026. [online]
137. J86. Binarized neural networks converge toward algorithmic simplicity: empirical support for the learning-as-compression hypothesis
E. Y. Sakabe, F. S. Abrahão, A. Simões, E. Colombini, P. Costa, R. Gudwin, H. Zenil
Frontiers in Computational Neuroscience, vol. 20, 1791546, 2026 [online]
136. J85. A quantitative approach to estimating bias, favoritism and distortion in scientific journalism
R. Koushik, H. Zenil
Frontiers in Communication, vol 11, 1772794, 2026 [online]
135. J84. Integrative adaptive indexes from noisy routine haematological markers can predict and discriminate health status and biological age
S. Hernandez-Orozco, A. Uthamacumaran, F. Hernandez-Quiroz, K. Saeb-Parsy, H. Zenil
Computers in Biology and Medicine, vol 208, 111628, 2026 [online]
134. J83. SuperARC: a test for artificial superintelligence based on compressed modelling, recursive prediction and problem complexity
A. Hernández-Espinosa, L. Ozelim, F. S. Abrahão, H. Zenil
Nature Communications, 17: 4885, 2026 [online]
133. J82. Neurodivergent Influenceability as a Contingent Solution to the AI Alignment Problem
A. Hernández-Espinosa, F.S Abrahão, O. Witkowski, H. Zenil
PNAS Nexus, vol. 5:4, pgag076, 2026 [online]
132. J81. Assembly Theory Collapses to Dictionary Compression and Is Rendered Redundant by Common Statistical Algorithms
L. Ozelim, A. Uthamacumaran, F.S Abrahão, S. Hernández-Orozco, N.A Kiani, J. Tegnér, H. Zenil
npj Complexity, 2026. [online]
131. J80. The future of fundamental science led by generative closed-loop artificial intelligence
H Zenil, J Tegnér, FS Abrahão, A Lavin, V Kumar, JG Frey, A Weller, ...
Frontiers in Artificial Intelligence 11;9:1678539, 2026 [online]
130. J79. Leveraging network motifs to improve artificial neural networks
H. Zhang, C.-H. Yang, H. Zenil, P.-Y. Chen, Y. Shen, N. A. Kiani, and J. Tegner
Nature Communications, 16: 11495 2025 [online]
129. P53. On Circular Growth of Life-Like Automata
G.J. Martínez, A. Adamatzky, H. Zenil, J.C. Seck-Tuoh-Mora
In: A. Adamatzky, G.C. Sirakoulis, G.J. Martinez (eds) Advances in Cellular Automata. Emergence, Complexity and Computation, vol 53. Springer Nature, 2025. [Online]
128. J78. Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery
Y. Zhang, i.a. M. Levin, J. Frey, J. Evans, A. Bundy and H. Zenil
npj Artificial Intelligence 1, 14, 2025. [online]
126.P52. The Emergent Behavior of Computer Programs of Short Description Length in Discrete Time and Discrete Space
H. Zenil
Foundational Papers in Complexity Science pp. 1735–1792, Santa Fe Institute, 2024 [online, partial preprint].
125. P51. The Emergent Behavior of Computer Programs of Short Description Length in Discrete Time and Discrete Space
Hector Zenil
Introduction to Universality and Complexity in Cellular Automata by Stephen Wolfram, In Foundational Papers in Complexity Science: Volume I by David C. Krakauer, 2024 [online].
123. J74. Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment
A. Abdel-Rehim, H. Zenil, i.a., Ross D. King
Royal Society Interface 22: 20240674. 2025 [online].
119. Optimal Spatial Deconvolution and Message Reconstruction from a Large Generative Model of Models H. Zenil, A. Adams, F.S. Abrahão (submitted) [preprint].
118. J70. On the Salient Limitations of the Methods of Assembly Theory and their Classification of Molecular Biosignatures
A. Uthamacumaran, F.S. Abrahão, N.A. Kiani, H. Zenil
npj Systems Biology and Applications 10, 82, 2024. [online].
117. J69. A Review of Mathematical and Computational Methods in Cancer Dynamics
A. Uthamacumaran and H. Zenil
Frontiers in Oncology, vol. 12, 2022 [online]
116. P50. Artificial intelligence in scientific discovery: Challenges and opportunities
H. Zenil and R. King
in Artificial Intelligence in Science: Challenges, Opportunities and the Future of Research, OECD Publishing, Paris, 2023 [online].
114. P47. The Far Future of AI in Scientific Discovery
H. Zenil and R. King
In Choudhary, Fox and Tony Hey, AI For Science, World Scientific Publishing Company/Imperial College Press, 2023.
113. J68. Simulation Intelligence: Towards a New Generation of Scientific Methods
A. Lavin, H. Zenil, B. Paige, D. Krakauer, J. Gottschlich, T. Mattson, A. Anandkumar, S. Choudry, K. Rocki, A. Güneş Baydin, C. Prunkl, O. Isayev, E. Peterson, P. L. McMahon, J. Macke, K. Cranmer, J. Zhang, H. Wainwright, A. Hanuka, M. Veloso, S. Assefa, S. Zheng, A. Pfeffer (forthcoming) [preprint]
112. J67. Emergence and Algorithmic Information Dynamics of Systems and Observers
F. S. Abrahão and H. Zenil
Philosophical Transactions of the Royal Society A, 2022 [online]
111. J66. Algorithmic Probability of Large Datasets and the Simplicity Bubble Problem in Machine Learning
F.S. Abrahão, H. Zenil*, F. Porto, and K. Wehmuth
(forthcoming) [preprint]
110. P46. Algorithmic Information Dynamics of Cellular Automata
H. Zenil and A. Adams
In S. Das et al (eds) The Mathematical Artist: A Tribute to John Horton Conway
World Scientific Publishing Press, 2022 [preprint]
107. P44. Artificial Intelligence in Medicine and Causality for Precision and Value-based Healthcare
H. Zenil
In N. Lidströmer and H. Ashrafian (eds.)
Artificial Intelligence in Medicine, Springer Verlag, 2021 [online]
106. P43. Causal Diagnostics for Cancer and Complex Diseases
H. Zenil
In I. Balaz and A. Adamatzky, Cancer, Complexity, Computation, World Scientific Publishing Company, Springer, 2021 [Amazon]
105. P42. Les ordinateurs peuvent-ils produire du hasard? Une exploration de la découverte causale (Can computers produce randomness? An exploration of causal discovery)
H. Zenil
In Pour quoi moi? chap. 4, Belin Sciences et Nature, 2021 [online]
103. P41. Algorithmic Information Dynamics
H. Zenil, N.A. Kiani, F.S. Abrahao and J. Tegnér
Scholarpedia, 15(7):53143, 2020.[online]
102. J63. Non-Classical Logics in Unconventional Computing
A. Schumann and H. Zenil
International Journal of Unconventional Computing, pp. 237-244, vol. 15, No.4, 2020 [online]
101. J62. A Review of Methods for Estimating Algorithmic Complexity: Options, Challenges, and New Directions
H. Zenil
Entropy, 22, 612, 2020. (special issue on Shannon Entropy and Kolmogorov complexity) [online]
100. P40. Evolving Neural Networks through a Reverse Encoding Tree
H. Zhang, C-H. Huck Yang, H. Zenil, N.A. Kiani, Y. Shen and J. Tegnér
IEEE World Congress on Computational Intelligence 2020. [preprint]
99. P39. Algorithmic Information Distortions in Node-Aligned and Node-Unaligned Multidimensional Networks
F.S. Abrahao, K. Wehmuth, H. Zenil, and A. Ziviani
Entropy 2021, 23(7), 835 [online]
98. J60. Towards Demystifying Shannon Entropy, Lossless Compression, and Approaches to Statistical Machine Learning
H. Zenil
Proceedings 47, no. 1: 24, 2020 [online]
96. J58. A Novel Method for Reconstructing CT Images in GATE/GEANT4 with Application in Medical Imaging: A Complexity Analysis Approach
N. Gholamia, M. Mahdi Dehshibia, M. Fazlalib, A. Rueda-Toicen, H. Zenil, A. Adamatzky
Journal of Information Processing, vol. 28 pp. 161–168, 2020. [online, preprint]
94. J57. Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
R. Ooi, C.-H. Huck Yang, P.-Yu Chen, V. Eguiluz, N.A. Kiani, H. Zenil, D. Gómez-Cabrero, J. Tegnér
(submitted) [preprint]
93. P37. Estimations of Integrated Information Based on Algorithmic Complexity and Dynamic Querying
A. Hernández-Espinosa, H. Zenil^*, N.A. Kiani, and J. Tegnér
In Handbook of Unconventional Computing, A. Adamatzky (Ed.), World Scientific Publishing Company, 2022 [preprint]
92. J56. A Review of Graph and Network Complexity from an Algorithmic Information Perspective
H. Zenil, N.A. Kiani, J. Tegnér
Entropy, 20(8):551, 2018. [online]
90. J54. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
S.M Hill, L.M. Heiser, (…) i.a. H. Zenil (DREAM Challenge Consortium) (…), G. Stolovitzky, J. Guinney, J.R Dry, J. Saez-Rodriguez
Nature Communications, vol. 10, Article number: 2674, 2019. [online] (NPG)
89. P36. On the Complex Behaviour of Natural and Artificial Machines and Systems
H. Zenil
In F.P. Bonsignorio, A.P. del Pobil, E. Messina, J. Hallam (eds.), Metrics of sensory motor integration in robots and animals
Springer Cosmos Series, Cognitive Systems Monographs, Springer, pp.111-125,2019 [Amazon, preprint]
88. J53. Minimal Algorithmic Information Loss Methods for Dimension Reduction, Feature Selection and Network Sparsification
H. Zenil*, N.A. Kiani, A. Rueda-Toicen, A. Zea, J. Tegnér
Information Sciences 720 (2025) 122520 [online]
87. J52. The Thermodynamics of Network Coding, and Algorithmic Refinement of the principle of Maximum Entropy
H. Zenil*, N.A. Kiani, J. Tegnér
Entropy, 21(6), 560, 2019 [online] (MDPI)
85. J50. Algorithmically Probable Mutations Reproduce Aspects of Evolution, such as Convergence Rate, Genetic Memory, and Modularity
S. Hernández-Orozco, N.A. Kiani, H. Zenil*
Royal Society Open Science, 5:180399, 2018 [online] (Royal Society)
84. J49. A Decomposition Method for Global Evaluation of Shannon Entropy and Local Estimations of Algorithmic Complexity
H. Zenil, S. Hernández-Orozco, N.A. Kiani, F. Soler-Toscano, A. Rueda-Toicen
Entropy 20(8), 605, 2018. [online] (MDPI)
83. P35. Algorithmic Information Dynamics of Emergent, Persistent, and Colliding Particles in the Game of Life
H. Zenil, N.A. Kiani and J. Tegnér
In A. Adamatzky (ed), From Parallel to Emergent Computing (book)
Taylor & Francis / CRC Press, pp.367–383, 2019 [preprint]
82. P34. Model Discovery and Discrete Inverse Problems with Cellular Automata and Boolean Networks
H. Zenil*, Y. Zhang and N.A. Kiani
In A. Adamatzky, Automata and Complexity, Eric Goles festschrift, Springer, 2022. [Amazon]
80. J47. Coding-theorem Like Behaviour and Emergence of the Universal Distribution from Resource-bounded Algorithmic Probability
H. Zenil*, L. Badillo, S. Hernández-Orozco and F. Hernandez-Quiroz
International Journal of Parallel Emergent and Distributed Systems, 2018 [online, preprint] (Taylor & Francis)
79. J46. Rule Primality, Minimal Generating Sets and Turing-Universality in the Causal Decomposition of Elementary Cellular Automata
J. Riedel and H. Zenil^*
Journal of Cellular Automata, vol. 13, pp. 479–497, 2018 [online, preprint]
78. J45. Algorithmic Complexity and Reprogrammability of Chemical Structure Networks
H. Zenil*, N.A. Kiani, M-M. Shang, J. Tegnér
Parallel Processing Letters, vol. 28, 2018. [online, preprint] (World Scientific)
77. J44. Cross-boundary Behavioural Reprogrammability Reveals Evidence of Pervasive Universality
J. Riedel, H. Zenil^*
International Journal of Unconventional Computing, vol 13:14-15 pp. 309-357, 2018 [online, preprint]
76. J43. Slime Mould: The Fundamental Mechanisms of Biological Cognition
J. Vallverdú, O. Castro, R. Mayne, M. Talanov, M. Levine, F. Baluska, Y. Gunji, A. Dussutourg, H. Zenil, A. Adamatzky
BioSystems, vol. 165, pp 57-70, 2018 [online, preprint] (Elsevier)
75. J42. Approximations of Algorithmic and Structural Complexity Validate Cognitive-behavioural Experimental Results
H. Zenil*, J.A.R. Marshall, J. Tegnér
Frontiers In Computational Neuroscience, vol. 16, 2023 [online]
73. J40. Undecidability and Irreducibility Conditions for Open-Ended Evolution and Emergence
S. Hernández-Orozco, F. Hernández-Quiroz and H. Zenil*
Artificial Life, vol. 24:1, pp. 56–70, 2018 [online, preprint] (MIT)
71. J38. Reprogramming Matter, Life and Purpose. H. Zenil
International Journal of Unconventional Computing, vol. 13.3, p. 221–233, 2017. [online, preprint] (OCP)
70. J37. HiDi: An efficient reverse engineering schema for large scale dynamic regulatory network reconstruction using adaptive differentiation
Y. Deng, H. Zenil*, J. Tegnér, N.A. Kiani
Bioinformatics btx501, 2017. [preprint, online] (Oxford)