Michael Dewar

535 total citations
12 papers, 368 citations indexed

About

Michael Dewar is a scholar working on Molecular Biology, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Michael Dewar has authored 12 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Developmental and Educational Psychology. Recurrent topics in Michael Dewar's work include Statistical Methods and Bayesian Inference (2 papers), Chemical Synthesis and Analysis (2 papers) and RNA Interference and Gene Delivery (2 papers). Michael Dewar is often cited by papers focused on Statistical Methods and Bayesian Inference (2 papers), Chemical Synthesis and Analysis (2 papers) and RNA Interference and Gene Delivery (2 papers). Michael Dewar collaborates with scholars based in United Kingdom, United States and Malta. Michael Dewar's co-authors include Visakan Kadirkamanathan, Tom Stafford, Guido Sanguinetti, Andrew Zammit‐Mangion, Dean R. Freestone, David B. Grayden, Marc Lynch, Henry Farrell, Deen Freelon and Manfred Opper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Michael Dewar

12 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Dewar United Kingdom	9	72	65	60	60	45	12	368
Rick Walker United Kingdom	9	30 0.4×	159 2.4×	24 0.4×	54 0.9×	30 0.7×	20	638
Zhao Yang China	10	55 0.8×	130 2.0×	97 1.6×	65 1.1×	10 0.2×	18	694
Sa Liu United States	13	14 0.2×	47 0.7×	24 0.4×	39 0.7×	86 1.9×	28	392
Frederick Eberhardt United States	15	65 0.9×	346 5.3×	80 1.3×	24 0.4×	20 0.4×	35	623
Alan Jern United States	8	67 0.9×	168 2.6×	18 0.3×	96 1.6×	67 1.5×	19	365
Julio Michael Stern Brazil	15	41 0.6×	227 3.5×	40 0.7×	10 0.2×	12 0.3×	100	744
Theo Rhodes United States	7	198 2.8×	83 1.3×	91 1.5×	37 0.6×	28 0.6×	14	422
George Kampis Hungary	12	30 0.4×	56 0.9×	42 0.7×	72 1.2×	7 0.2×	43	405
Sara van Erp Netherlands	7	53 0.7×	56 0.9×	16 0.3×	29 0.5×	15 0.3×	11	412
Edgar Fuller United States	11	13 0.2×	105 1.6×	89 1.5×	49 0.8×	25 0.6×	47	575

Countries citing papers authored by Michael Dewar

Since Specialization

Citations

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

Fields of papers citing papers by Michael Dewar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Dewar

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

All Works

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12 of 12 papers shown

Stafford, Tom & Michael Dewar. (2013). Testing theories of skill learning using a very large sample of online game players. Cognitive Science. 35(35). 2 indexed citations

Stafford, Tom & Michael Dewar. (2013). Tracing the Trajectory of Skill Learning With a Very Large Sample of Online Game Players. Psychological Science. 25(2). 511–518. 79 indexed citations

Aday, Sean, Henry Farrell, Deen Freelon, et al.. (2013). Watching From Afar. American Behavioral Scientist. 57(7). 899–919. 33 indexed citations

Zammit‐Mangion, Andrew, Michael Dewar, Visakan Kadirkamanathan, & Guido Sanguinetti. (2012). Point process modelling of the Afghan War Diary. Proceedings of the National Academy of Sciences. 109(31). 12414–12419. 78 indexed citations

Freestone, Dean R., et al.. (2011). A data-driven framework for neural field modeling. NeuroImage. 56(3). 1043–1058. 49 indexed citations

Svensen, Nina, Juan J. Díaz‐Mochón, Kevin Dhaliwal, et al.. (2011). Screening of a Combinatorial Homing Peptide Library for Selective Cellular Delivery. Angewandte Chemie International Edition. 50(27). 6133–6136. 26 indexed citations

Raj, Anil, et al.. (2011). Identifying Hosts of Families of Viruses: A Machine Learning Approach. PLoS ONE. 6(12). e27631–e27631. 6 indexed citations

Svensen, Nina, Juan J. Díaz‐Mochón, Kevin Dhaliwal, et al.. (2011). Screening of a Combinatorial Homing Peptide Library for Selective Cellular Delivery. Angewandte Chemie. 123(27). 6257–6260. 7 indexed citations

Dewar, Michael, Visakan Kadirkamanathan, Manfred Opper, & Guido Sanguinetti. (2010). Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster. BMC Systems Biology. 4(1). 21–21. 24 indexed citations

10.

Dewar, Michael, et al.. (2008). Data-Driven Spatio-Temporal Modeling Using the Integro-Difference Equation. IEEE Transactions on Signal Processing. 57(1). 83–91. 28 indexed citations

11.

Dewar, Michael, et al.. (2008). Estimation and Model Selection for an IDE-Based Spatio-Temporal Model. IEEE Transactions on Signal Processing. 57(2). 482–492. 18 indexed citations

12.

Dewar, Michael & Visakan Kadirkamanathan. (2007). A Canonical Space-Time State Space Model: State and Parameter Estimation. IEEE Transactions on Signal Processing. 55(10). 4862–4870. 18 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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