Theodore Papamarkou

5.4k total citations
25 papers, 255 citations indexed

About

Theodore Papamarkou is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Theodore Papamarkou has authored 25 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 6 papers in Molecular Biology. Recurrent topics in Theodore Papamarkou's work include Gaussian Processes and Bayesian Inference (5 papers), Chaos control and synchronization (5 papers) and Bayesian Methods and Mixture Models (3 papers). Theodore Papamarkou is often cited by papers focused on Gaussian Processes and Bayesian Inference (5 papers), Chaos control and synchronization (5 papers) and Bayesian Methods and Mixture Models (3 papers). Theodore Papamarkou collaborates with scholars based in United Kingdom, United States and Austria. Theodore Papamarkou's co-authors include Mark Girolami, Chris J. Oates, A. J. Lawrance, Emőke-Ágnes Horvát, Jacob Hinkle, M. Todd Young, David E. Womble, Dewi Harjanto, F. Nina Papavasiliou and Violeta Rayon-Estrada and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

Theodore Papamarkou

23 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Theodore Papamarkou United Kingdom 9 95 54 37 34 29 25 255
Xiwei Tang United States 9 198 2.1× 56 1.0× 25 0.7× 45 1.3× 41 1.4× 26 414
Hossein Jafari Iran 10 68 0.7× 76 1.4× 24 0.6× 10 0.3× 30 1.0× 38 296
Zhuang Ma China 6 78 0.8× 61 1.1× 25 0.7× 17 0.5× 18 0.6× 26 223
Sabine Hug Germany 8 297 3.1× 50 0.9× 25 0.7× 12 0.4× 43 1.5× 10 448
Grace S. Shieh Taiwan 14 251 2.6× 103 1.9× 10 0.3× 20 0.6× 53 1.8× 40 495
Young‐Heon Kim Canada 14 42 0.4× 10 0.2× 9 0.2× 15 0.4× 33 1.1× 32 457
Enrico Capobianco United States 11 59 0.6× 56 1.0× 10 0.3× 16 0.5× 5 0.2× 43 356
Francisco J. López Spain 18 91 1.0× 32 0.6× 8 0.2× 23 0.7× 3 0.1× 80 824
Ryan Gill United States 11 200 2.1× 23 0.4× 5 0.1× 20 0.6× 31 1.1× 34 394

Countries citing papers authored by Theodore Papamarkou

Since Specialization
Citations

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

Fields of papers citing papers by Theodore Papamarkou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theodore Papamarkou

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

All Works

20 of 20 papers shown
1.
Papamarkou, Theodore, et al.. (2024). Model-agnostic variable importance for predictive uncertainty: an entropy-based approach. Data Mining and Knowledge Discovery. 38(6). 4184–4216. 4 indexed citations
2.
Papamarkou, Theodore. (2023). Approximate blocked Gibbs sampling for Bayesian neural networks. Statistics and Computing. 33(5).
3.
Papamarkou, Theodore, et al.. (2023). Depth-2 neural networks under a data-poisoning attack. Neurocomputing. 532. 56–66.
4.
Hajij, Mustafa, et al.. (2023). Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. 799–803. 2 indexed citations
5.
Watts, Jeremy, et al.. (2022). Adapting Random Forests to Predict Obesity-Associated Gene Expression. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 4407–4410. 1 indexed citations
6.
Papamarkou, Theodore, et al.. (2022). Inferring the spread of COVID-19: the role of time-varying reporting rate in epidemiological modelling. Scientific Reports. 12(1). 10761–10761. 8 indexed citations
7.
Khojandi, Anahita, et al.. (2021). Hidden Markov models as recurrent neural networks: An application to Alzheimer's disease. 1–6. 1 indexed citations
8.
Ford, Eric B., et al.. (2019). The efficiency of geometric samplers for exoplanet transit timing variation models. Monthly Notices of the Royal Astronomical Society. 484(3). 3772–3784. 3 indexed citations
9.
Husmeier, Dirk, et al.. (2018). Multiphase MCMC sampling for parameter inference in nonlinear ordinary differential equations. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1252–1260. 2 indexed citations
10.
Radic-Sarikas, Branka, Melinda Halász, K. Huber, et al.. (2017). Lapatinib potentiates cytotoxicity of  YM155 in neuroblastoma via inhibition of the ABCB1 efflux transporter. Scientific Reports. 7(1). 3091–3091. 24 indexed citations
11.
Horvát, Emőke-Ágnes & Theodore Papamarkou. (2017). Gender Differences in Equity Crowdfunding. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 5. 51–60. 19 indexed citations
12.
Lawrance, A. J., Theodore Papamarkou, & Atsushi Uchida. (2017). Synchronized Laser Chaos Communication: Statistical Investigation of an Experimental System. IEEE Journal of Quantum Electronics. 53(2). 1–10. 15 indexed citations
13.
Radic-Sarikas, Branka, Kalliopi P. Tsafou, Kristina B. Emdal, et al.. (2016). Combinatorial Drug Screening Identifies Ewing Sarcoma–specific Sensitivities. Molecular Cancer Therapeutics. 16(1). 88–101. 16 indexed citations
14.
Harjanto, Dewi, et al.. (2016). RNA editing generates cellular subsets with diverse sequence within populations. Nature Communications. 7(1). 12145–12145. 34 indexed citations
15.
Schwentner, Raphaela, Theodore Papamarkou, Maximilian Kauer, et al.. (2015). EWS-FLI1 employs an E2F switch to drive target gene expression. Nucleic Acids Research. 43(5). 2780–2789. 34 indexed citations
16.
Achcar, Fiona, Abeer Fadda, Jurgen R. Haanstra, et al.. (2014). The Silicon Trypanosome. Advances in microbial physiology. 64. 115–143. 4 indexed citations
17.
Papamarkou, Theodore & A. J. Lawrance. (2014). Nonlinear Dynamics of Trajectories Generated by Fully-Stretching Piecewise Linear Maps. International Journal of Bifurcation and Chaos. 24(5). 1450071–1450071. 3 indexed citations
18.
Young, Elizabeth, Theodore Papamarkou, Nicholas W.J. Wainwright, & Manjinder S. Sandhu. (2012). Genetic determinants of lipid homeostasis. Best Practice & Research Clinical Endocrinology & Metabolism. 26(2). 203–209. 1 indexed citations
19.
Papamarkou, Theodore & A. J. Lawrance. (2012). Paired Bernoulli Circular Spreading: Attaining the BER Lower Bound in a CSK Setting. Circuits Systems and Signal Processing. 32(1). 143–166. 8 indexed citations
20.
Papamarkou, Theodore & A. J. Lawrance. (2007). Optimal Spreading Sequences for Chaos-Based Communication Systems. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 3 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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