David W. Arathorn

722 total citations
20 papers, 521 citations indexed

About

David W. Arathorn is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, David W. Arathorn has authored 20 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cognitive Neuroscience and 7 papers in Electrical and Electronic Engineering. Recurrent topics in David W. Arathorn's work include Retinal Imaging and Analysis (9 papers), Visual perception and processing mechanisms (7 papers) and Neural dynamics and brain function (5 papers). David W. Arathorn is often cited by papers focused on Retinal Imaging and Analysis (9 papers), Visual perception and processing mechanisms (7 papers) and Neural dynamics and brain function (5 papers). David W. Arathorn collaborates with scholars based in United States and Netherlands. David W. Arathorn's co-authors include Austin Roorda, Curtis R. Vogel, Qiang Yang, Pavan Tiruveedhula, Albert E. Parker, Yuhua Zhang, Boy Braaf, Kari V. Vienola, Johannes F. de Boer and Scott B. Stevenson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Optics Express and Investigative Ophthalmology & Visual Science.

In The Last Decade

David W. Arathorn

20 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David W. Arathorn United States 9 270 227 215 156 118 20 521
Fernando Romero‐Borja United States 5 544 2.0× 404 1.8× 311 1.4× 343 2.2× 77 0.7× 12 857
Phillip Bedggood Australia 16 489 1.8× 419 1.8× 237 1.1× 186 1.2× 50 0.4× 49 717
Weihua Gao United States 9 404 1.5× 304 1.3× 367 1.7× 109 0.7× 27 0.2× 24 629
Zhangyi Zhong United States 9 541 2.0× 410 1.8× 143 0.7× 201 1.3× 39 0.3× 12 691
Lucie Sawides Spain 18 491 1.8× 495 2.2× 120 0.6× 683 4.4× 365 3.1× 50 939
Remy Tumbar United States 5 243 0.9× 182 0.8× 125 0.6× 160 1.0× 10 0.1× 12 378
Stacey S. Choi United States 18 906 3.4× 675 3.0× 464 2.2× 297 1.9× 83 0.7× 53 1.2k
Furu Zhang United States 10 404 1.5× 258 1.1× 260 1.2× 69 0.4× 44 0.4× 24 608
Vincent Nourrit France 12 223 0.8× 238 1.0× 78 0.4× 77 0.5× 75 0.6× 43 498

Countries citing papers authored by David W. Arathorn

Since Specialization
Citations

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

Fields of papers citing papers by David W. Arathorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Arathorn. 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 David W. Arathorn. The network helps show where David W. Arathorn may publish in the future.

Co-authorship network of co-authors of David W. Arathorn

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Arathorn. A scholar is included among the top collaborators of David W. Arathorn 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 David W. Arathorn. David W. Arathorn 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.
Tiruveedhula, Pavan, et al.. (2024). A paradoxical misperception of relative motion. Proceedings of the National Academy of Sciences. 121(48). e2410755121–e2410755121. 1 indexed citations
2.
Arathorn, David W., Scott B. Stevenson, Qiang Yang, Pavan Tiruveedhula, & Austin Roorda. (2013). How the unstable eye sees a stable and moving world. Journal of Vision. 13(10). 22–22. 30 indexed citations
3.
Yang, Qiang, et al.. (2012). High-speed, image-based eye tracking with a scanning laser ophthalmoscope. Biomedical Optics Express. 3(10). 2611–2611. 6 indexed citations
4.
Braaf, Boy, Kari V. Vienola, Qiang Yang, et al.. (2012). Real-time eye motion correction in phase-resolved OCT angiography with tracking SLO. Biomedical Optics Express. 4(1). 51–51. 8 indexed citations
5.
Vienola, Kari V., Boy Braaf, Qiang Yang, et al.. (2012). Real-time eye motion compensation for OCT imaging with tracking SLO. Biomedical Optics Express. 3(11). 2950–2950. 94 indexed citations
6.
Capps, Arlie G., Robert J. Zawadzki, Qiang Yang, et al.. (2011). Correction of eye-motion artifacts in AO-OCT data sets. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7885. 78850D–78850D. 7 indexed citations
7.
Yang, Qiang, David W. Arathorn, Pavan Tiruveedhula, Curtis R. Vogel, & Austin Roorda. (2010). Design of an integrated hardware interface for AOSLO image capture and cone-targeted stimulus delivery. Optics Express. 18(17). 17841–17841. 65 indexed citations
8.
Roorda, Austin, et al.. (2007). Real-Time Correction of Eye Movement Distortions in Adaptive Optics Scanning Laser Ophthalmoscope Images. Investigative Ophthalmology & Visual Science. 48(13). 2764–2764. 1 indexed citations
9.
Gedeon, Tomáš & David W. Arathorn. (2007). Convergence of Map Seeking Circuits. Journal of Mathematical Imaging and Vision. 29(2-3). 235–248. 7 indexed citations
10.
Arathorn, David W., Qiang Yang, Curtis R. Vogel, et al.. (2007). Retinally stabilized cone-targeted stimulus delivery. Optics Express. 15(21). 13731–13731. 108 indexed citations
11.
Arathorn, David W.. (2006). Cortically plausible inverse problem method applied to complex perceptual and planning tasks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6229. 62290E–62290E. 4 indexed citations
12.
Snider, Ross & David W. Arathorn. (2006). Terrain discovery and navigation of a multi-articulated linear robot using map-seeking circuits. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6229. 62290H–62290H. 2 indexed citations
13.
Roorda, Austin, Ethan A. Rossi, Scott B. Stevenson, et al.. (2006). Applications For Eye–Motion–Corrected Adaptive Optics Scanning Laser Ophthalmoscope Videos. 47(13). 1808–1808. 1 indexed citations
14.
Vogel, Curtis R., David W. Arathorn, Austin Roorda, & Albert E. Parker. (2006). Retinal motion estimation in adaptive optics scanning laser ophthalmoscopy. Optics Express. 14(2). 487–487. 126 indexed citations
15.
Arathorn, David W.. (2005). A Cortically-Plausible Inverse Problem Solving Method Applied to Recognizing Static and Kinematic 3D Objects. Neural Information Processing Systems. 18. 59–66. 4 indexed citations
16.
17.
Vogel, Curtis R., David W. Arathorn, Albert E. Parker, & Austin Roorda. (2005). Retinal Motion Tracking in Adaptive Optics Scanning Laser Ophthalmoscopy. 10. JTuC2–JTuC2. 2 indexed citations
18.
Arathorn, David W.. (2004). From Wolves Hunting Elk to Rubik's Cubes: Are the Cortices Composition/Decomposition Engines?. National Conference on Artificial Intelligence. 1–5. 1 indexed citations
19.
Arathorn, David W.. (2002). Map-Seeking Circuits in Visual Cognition: A Computational Mechanism for Biological and Machine Vision. 38 indexed citations
20.
Arathorn, David W.. (2001). Recognition under transformation usingsuperposition ordering property. Electronics Letters. 37(3). 164–166. 8 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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