A C C Coolen

2.8k total citations
113 papers, 1.6k citations indexed

About

A C C Coolen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Condensed Matter Physics. According to data from OpenAlex, A C C Coolen has authored 113 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 36 papers in Statistical and Nonlinear Physics and 31 papers in Condensed Matter Physics. Recurrent topics in A C C Coolen's work include Neural Networks and Applications (50 papers), Theoretical and Computational Physics (31 papers) and Neural dynamics and brain function (30 papers). A C C Coolen is often cited by papers focused on Neural Networks and Applications (50 papers), Theoretical and Computational Physics (31 papers) and Neural dynamics and brain function (30 papers). A C C Coolen collaborates with scholars based in United Kingdom, Netherlands and Spain. A C C Coolen's co-authors include David C. Sherrington, N S Skantzos, Paul R. Barber, M. Rowley, Borivoj Vojnovic, J. Alexander Heimel, Th.W. Ruijgrok, Isaac Pérez Castillo, Peter Sollich and Reimer Kühn and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and Physical review. B, Condensed matter.

In The Last Decade

A C C Coolen

104 papers receiving 1.6k citations

Peers

A C C Coolen

SNP

CMP

Adriano Barra Italy

Elena Agliari Italy

Tiago P. Peixoto Germany

Benjamin B. Machta United States

Andrea Pagnani Italy

Chris H. Wiggins United States

Gilles Wainrib France

Deok‐Sun Lee South Korea

Kevin E. Bassler United States

Radek Erban United Kingdom

Adriano Barra Italy

A C C Coolen

427 ×0.9

414 ×1.0

SNP

337 ×1.0

CMP

217 ×0.7

747 ×3.1

Citations per year, relative to A C C Coolen A C C Coolen (= 1×) peers Adriano Barra

Countries citing papers authored by A C C Coolen

Since Specialization

Citations

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

Fields of papers citing papers by A C C Coolen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A C C Coolen. 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 A C C Coolen. The network helps show where A C C Coolen may publish in the future.

Co-authorship network of co-authors of A C C Coolen

This figure shows the co-authorship network connecting the top 25 collaborators of A C C Coolen. A scholar is included among the top collaborators of A C C Coolen 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 A C C Coolen. A C C Coolen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jonker, Marianne A., et al.. (2025). Bayesian Federated Inference for regression models based on non-shared medical center data. Research Synthesis Methods. 16(2). 383–423. 1 indexed citations

Coolen, A C C, et al.. (2025). Bayesian federated inference for survival models. Journal of Applied Statistics. 53(2). 203–223.

George, Gincy, Beth Russell, Anne Rigg, A C C Coolen, & Mieke Van Hemelrijck. (2023). Real World Data Studies of Antineoplastic Drugs: How Can They Be Improved to Steer Everyday Use in the Clinic?. PubMed. Volume 14. 95–100.

Meester‐Smoor, Magda A., Timo Verzijden, Anita de Breuk, et al.. (2020). Genetic Risk, Lifestyle, and Age-Related Macular Degeneration in Europe. Ophthalmology. 128(7). 1039–1049. 79 indexed citations

Grigoriadis, Anita, Patrycja Gazińska, Trupti Pai, et al.. (2018). Histological scoring of immune and stromal features in breast and axillary lymph nodes is prognostic for distant metastasis in lymph node‐positive breast cancers. The Journal of Pathology Clinical Research. 4(1). 39–54. 20 indexed citations

Rowley, M., Hans Garmo, Mieke Van Hemelrijck, et al.. (2017). A latent class model for competing risks. Statistics in Medicine. 36(13). 2100–2119. 10 indexed citations

Weitsman, Gregory, Paul R. Barber, Lan K. Nguyen, et al.. (2016). HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status. Oncotarget. 7(32). 51012–51026. 25 indexed citations

Martin, Victoria, Bryan Wu, A C C Coolen, et al.. (2016). Transitional B Cells in Early Human B Cell Development – Time to Revisit the Paradigm?. Frontiers in Immunology. 7. 546–546. 45 indexed citations

Barrett, James E. & A C C Coolen. (2015). Covariate dimension reduction for survival data via the Gaussian process latent variable model. Statistics in Medicine. 35(8). 1340–1353. 1 indexed citations

10.

Coolen, A C C, et al.. (2011). Transfer operator analysis of the parallel dynamics of disordered Ising chains. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

11.

Carlin, Leo M., Matthias Epple, Daniel R. Matthews, et al.. (2009). Integrating Receptor Signal Inputs That Influence Small Rho GTPase Activation Dynamics at the Immunological Synapse. Molecular and Cellular Biology. 29(11). 2997–3006. 32 indexed citations

12.

Kelleher, Muireann, Gilbert O. Fruhwirth, Gargi Patel, et al.. (2009). The potential of optical proteomic technologies to individualize prognosis and guide rational treatment for cancer patients. Targeted Oncology. 4(3). 235–252. 41 indexed citations

13.

Castellanos, A., et al.. (2008). \tFinite-size effects in separable recurrent neural networks.

14.

Coolen, A C C. (2005). The mathematical theory of minority games : statistical mechanics of interacting agents. Oxford University Press eBooks. 39 indexed citations

15.

Coolen, A C C, et al.. (2003). Statistical Mechanics Beyond the Hopfield Model: Solvable Problems in Neural Network Theory. Reviews in the Neurosciences. 14(1-2). 181–93. 5 indexed citations

16.

Heimel, J. Alexander & A C C Coolen. (2001). Generating functional analysis of the dynamics of the batch minority game with random external information. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(5). 56121–56121. 41 indexed citations

17.

Skantzos, N S, Christian F. Beckmann, & A C C Coolen. (1998). Discontinuous Recall Transitions Induced by Competition Between Short- and Long-Range Interactions in Recurrent Networks. Neural Information Processing Systems. 11. 337–345. 1 indexed citations

18.

Coolen, A C C, et al.. (1995). Modern Analytic Techniques to Solve the Dynamics of Recurrent Neural Networks. Oxford University Research Archive (ORA) (University of Oxford). 8. 253–259. 1 indexed citations

19.

Jonker, Harm J. J., A C C Coolen, & J. J. Denier van der Gon. (1989). Linear interpolation with binary neurons. 23–26. 1 indexed citations

20.

Coolen, A C C, J. J. Denier van der Gon, & Th.W. Ruijgrok. (1989). Evolution equations for neural networks with arbitrary spatial structure. 238–241. 1 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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