Jay B. Martin

480 total citations
11 papers, 281 citations indexed

About

Jay B. Martin is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Jay B. Martin has authored 11 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Cognitive Neuroscience and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Jay B. Martin's work include Face Recognition and Perception (2 papers), Child and Animal Learning Development (2 papers) and Tactile and Sensory Interactions (2 papers). Jay B. Martin is often cited by papers focused on Face Recognition and Perception (2 papers), Child and Animal Learning Development (2 papers) and Tactile and Sensory Interactions (2 papers). Jay B. Martin collaborates with scholars based in United States, United Kingdom and Switzerland. Jay B. Martin's co-authors include Nitish V. Thakor, Aniruddha Chatterjee, Anna Coenen, Doug Markant, Patricia P. Chan, Jessica B. Hamrick, Todd M. Gureckis, Alexander Rich, David Halpern and John V. McDonnell and has published in prestigious journals such as Cognitive Science, Behavior Research Methods and Work.

In The Last Decade

Jay B. Martin

8 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay B. Martin United States	5	179	104	51	35	34	11	281
Lev Tankelevitch United Kingdom	8	134 0.7×	74 0.7×	77 1.5×	16 0.5×	27 0.8×	21	416
Hannah Sheahan United Kingdom	8	253 1.4×	66 0.6×	56 1.1×	16 0.5×	17 0.5×	10	338
Yasushi Naruse Japan	11	202 1.1×	27 0.3×	24 0.5×	29 0.8×	32 0.9×	49	291
Krysta Chauncey United States	10	290 1.6×	35 0.3×	63 1.2×	7 0.2×	77 2.3×	13	476
Robert Lowe Sweden	10	243 1.4×	14 0.1×	118 2.3×	18 0.5×	93 2.7×	40	441
Nicholas Caporusso United States	7	161 0.9×	34 0.3×	9 0.2×	76 2.2×	22 0.6×	26	241
Benoît Gérard France	10	159 0.9×	48 0.5×	53 1.0×	336 9.6×	13 0.4×	35	473
Thomas L. Harrington United States	6	250 1.4×	15 0.1×	15 0.3×	25 0.7×	66 1.9×	14	344
Giselle Weiss Switzerland	6	135 0.8×	20 0.2×	18 0.4×	3 0.1×	48 1.4×	13	340
David A. Caulton United States	7	406 2.3×	28 0.3×	68 1.3×	15 0.4×	40 1.2×	7	477

Countries citing papers authored by Jay B. Martin

Since Specialization

Citations

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

Fields of papers citing papers by Jay B. Martin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay B. Martin. 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 Jay B. Martin. The network helps show where Jay B. Martin may publish in the future.

Co-authorship network of co-authors of Jay B. Martin

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

All Works

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11 of 11 papers shown

Eargle, David, Todd M. Gureckis, Alexander Rich, John V. McDonnell, & Jay B. Martin. (2020). psiTurk: An open platform for science on Amazon Mechanical Turk. Figshare.

Hsu, Anne, Jay B. Martin, Adam N. Sanborn, & Thomas L. Griffiths. (2019). Identifying category representations for complex stimuli using discrete Markov chain Monte Carlo with people. Behavior Research Methods. 51(4). 1706–1716. 2 indexed citations

Gureckis, Todd M., Jay B. Martin, John V. McDonnell, et al.. (2015). psiTurk: An open-source framework for conducting replicable behavioral experiments online. Behavior Research Methods. 48(3). 829–842. 136 indexed citations

Coenen, Anna, Douglas Markant, Jay B. Martin, et al.. (2014). Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk. Cognitive Science. 36(36).

Coenen, Anna, Douglas Markant, Jay B. Martin, & John V. McDonnell. (2013). Using Mechanical Turk and PsiTurk for Dynamic Web Experiments.. Cognitive Science. 35(35). 1 indexed citations

Hsu, Anne, Jay B. Martin, Adam N. Sanborn, & Thomas L. Griffiths. (2012). Identifying representations of categories of discrete items using Markov chain Monte Carlo with People.. Cognitive Science. 34(34). 3 indexed citations

Rupp, Michael A., et al.. (2012). Design considerations to improve cognitive ergonomic issues of unmanned vehicle interfaces utilizing video game controllers. Work. 41(S1). 5609–5611. 1 indexed citations

Rehder, Bob & Jay B. Martin. (2011). A Generative Model of Causal Cycles. Cognitive Science. 33(33). 7 indexed citations

Martin, Jay B., Thomas L. Griffiths, & Adam N. Sanborn. (2011). Testing the Efficiency of Markov Chain Monte Carlo With People Using Facial Affect Categories. Cognitive Science. 36(1). 150–162. 11 indexed citations

10.

Chatterjee, Aniruddha, et al.. (2008). Testing a Prosthetic Haptic Feedback Simulator With an Interactive Force Matching Task. JPO Journal of Prosthetics and Orthotics. 20(2). 27–34. 93 indexed citations

11.

Chatterjee, Aniruddha, et al.. (2008). Quantifying Prosthesis Control Improvements Using a Vibrotactile Representation of Grip Force. 38. 1–5. 27 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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