Eamon Caddigan

805 total citations
17 papers, 574 citations indexed

About

Eamon Caddigan is a scholar working on Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eamon Caddigan has authored 17 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 5 papers in Social Psychology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eamon Caddigan's work include Face Recognition and Perception (5 papers), Visual perception and processing mechanisms (5 papers) and Human-Automation Interaction and Safety (5 papers). Eamon Caddigan is often cited by papers focused on Face Recognition and Perception (5 papers), Visual perception and processing mechanisms (5 papers) and Human-Automation Interaction and Safety (5 papers). Eamon Caddigan collaborates with scholars based in United States, Germany and United Kingdom. Eamon Caddigan's co-authors include Diane M. Beck, Li Fei-Fei, Dirk B. Walther, Alejandro Lleras, Ulf Ahlström, Oliver Ohneiser, Ana Torralbo, Daniel J. Simons, Susana Martínez‐Conde and Joshua I. Glaser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Eamon Caddigan

14 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eamon Caddigan United States	9	455	187	62	48	28	17	574
Brent R. Beutter United States	12	552 1.2×	216 1.2×	35 0.6×	56 1.2×	12 0.4×	45	668
Laura Renninger United States	7	370 0.8×	303 1.6×	59 1.0×	45 0.9×	30 1.1×	17	619
Michel Vidal-Naquet Israel	4	262 0.6×	281 1.5×	37 0.6×	19 0.4×	80 2.9×	6	488
Florin Cutzu United States	8	276 0.6×	149 0.8×	69 1.1×	33 0.7×	14 0.5×	14	395
Kathryn Bonnen United States	10	265 0.6×	228 1.2×	35 0.6×	39 0.8×	15 0.5×	24	536
Yuanning Li China	11	322 0.7×	157 0.8×	70 1.1×	18 0.4×	96 3.4×	32	545
Gennady Erlikhman United States	10	293 0.6×	147 0.8×	29 0.5×	52 1.1×	75 2.7×	32	494
Mario Senden Netherlands	11	419 0.9×	126 0.7×	53 0.9×	13 0.3×	22 0.8×	18	563
Tadamasa Sawada Russia	11	278 0.6×	149 0.8×	31 0.5×	54 1.1×	6 0.2×	44	391
Mark D. Lescroart United States	9	446 1.0×	105 0.6×	59 1.0×	38 0.8×	24 0.9×	21	507

Countries citing papers authored by Eamon Caddigan

Since Specialization

Citations

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

Fields of papers citing papers by Eamon Caddigan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eamon Caddigan

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

All Works

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17 of 17 papers shown

Mezlini, Aziz M., Eamon Caddigan, Allison Shapiro, et al.. (2023). Precision recruitment for high-risk participants in a COVID-19 cohort study. Contemporary Clinical Trials Communications. 33. 101113–101113.

Mezlini, Aziz M., Allison Shapiro, Eric J. Daza, et al.. (2022). Estimating the Burden of Influenza-like Illness on Daily Activity at the Population Scale Using Commercial Wearable Sensors. JAMA Network Open. 5(5). e2211958–e2211958. 8 indexed citations

Caddigan, Eamon. (2018). Reconstructing Simulator Control Inputs: A Machine Learning Approach. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 62(1). 54–56. 1 indexed citations

Williams, Kevin W., et al.. (2018). UAS Pilot Traffic Avoidance Maneuver Preferences, Response Times, and ATC Interaction Decisions. Rosa P: A digital library for transportation research (United States Department of Transportation). 1 indexed citations

Williams, Kevin W., et al.. (2017). An Investigation of Minimum Information Requirements for an Unmanned Aircraft System Detect and Avoid Traffic Display. Journal of Bioresource Management. 305. 1 indexed citations

Caddigan, Eamon, et al.. (2017). Categorization influences detection: A perceptual advantage for representative exemplars of natural scene categories. Journal of Vision. 17(1). 21–21. 14 indexed citations

Ahlström, Ulf, Oliver Ohneiser, & Eamon Caddigan. (2016). Portable Weather Applications for General Aviation Pilots. Human Factors The Journal of the Human Factors and Ergonomics Society. 58(6). 864–885. 19 indexed citations

Ahlström, Ulf, et al.. (2015). The Effect of Weather State-Change Notifications on General Aviation Pilots' Behavior, Cognitive Engagement, and Weather Situation Awareness. elib (German Aerospace Center). 1 indexed citations

Tseng, Yuan‐Chi, Joshua I. Glaser, Eamon Caddigan, & Alejandro Lleras. (2014). Modeling the Effect of Selection History on Pop-Out Visual Search. PLoS ONE. 9(3). e89996–e89996. 18 indexed citations

10.

Torralbo, Ana, et al.. (2013). Good Exemplars of Natural Scene Categories Elicit Clearer Patterns than Bad Exemplars but Not Greater BOLD Activity. PLoS ONE. 8(3). e58594–e58594. 33 indexed citations

11.

Walther, Dirk B., et al.. (2011). Simple line drawings suffice for functional MRI decoding of natural scene categories. Proceedings of the National Academy of Sciences. 108(23). 9661–9666. 171 indexed citations

12.

Caddigan, Eamon & Alejandro Lleras. (2010). Saccadic repulsion in pop-out search: How a target's dodgy history can push the eyes away from it. Journal of Vision. 10(14). 9–9. 16 indexed citations

13.

Torralbo, Ana, Bo Chai, Eamon Caddigan, et al.. (2010). Categorization of good and bad examples of natural scene categories. Journal of Vision. 9(8). 940–940. 3 indexed citations

14.

Walther, Dirk B., Bo Chai, Eamon Caddigan, D. Beck, & Li Fei-Fei. (2010). fMRI Decoding of Natural Scene Categories from Line Drawings. Journal of Vision. 10(7). 1221–1221.

15.

Caddigan, Eamon, Dirk B. Walther, Diane M. Beck, & Li Fei-Fei. (2010). Finding "good" features for natural scene classification. Journal of Vision. 9(8). 966–966. 1 indexed citations

16.

Walther, Dirk B., Eamon Caddigan, Li Fei-Fei, & Diane M. Beck. (2009). Natural Scene Categories Revealed in Distributed Patterns of Activity in the Human Brain. Journal of Neuroscience. 29(34). 10573–10581. 260 indexed citations

17.

Simons, Daniel J., et al.. (2006). Induced visual fading of complex images. Journal of Vision. 6(10). 9–9. 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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