Daniel Kersten

7.0k total citations
129 papers, 4.5k citations indexed

About

Daniel Kersten is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Daniel Kersten has authored 129 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Cognitive Neuroscience, 41 papers in Computer Vision and Pattern Recognition and 21 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Daniel Kersten's work include Visual perception and processing mechanisms (85 papers), Neural dynamics and brain function (33 papers) and Face Recognition and Perception (21 papers). Daniel Kersten is often cited by papers focused on Visual perception and processing mechanisms (85 papers), Neural dynamics and brain function (33 papers) and Face Recognition and Perception (21 papers). Daniel Kersten collaborates with scholars based in United States, Germany and Türkiye. Daniel Kersten's co-authors include Scott O. Murray, Gordon E. Legge, David C. Knill, Paul Schrater, Hüseyin Boyacı, Fang Fang, Pascal Mamassian, Alan Yuille, Arthur E. Burgess and Anya Hurlbert and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Daniel Kersten

125 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Kersten United States 36 3.7k 895 640 626 592 129 4.5k
David C. Knill United States 36 5.1k 1.4× 857 1.0× 1.0k 1.6× 1.1k 1.8× 472 0.8× 72 6.3k
Ennio Mingolla United States 34 3.9k 1.1× 1.2k 1.4× 639 1.0× 290 0.5× 838 1.4× 107 4.9k
Alan Johnston United Kingdom 32 3.2k 0.9× 917 1.0× 453 0.7× 1.1k 1.7× 261 0.4× 188 3.9k
V. S. Ramachandran United States 39 3.7k 1.0× 822 0.9× 870 1.4× 978 1.6× 384 0.6× 86 5.2k
J. Farley Norman United States 33 3.2k 0.9× 829 0.9× 760 1.2× 650 1.0× 316 0.5× 125 3.6k
Frederick A. A. Kingdom Canada 31 3.2k 0.9× 581 0.6× 963 1.5× 509 0.8× 1.1k 1.9× 145 3.8k
Joshua A. Solomon United Kingdom 29 2.3k 0.6× 1.1k 1.2× 372 0.6× 388 0.6× 574 1.0× 97 3.3k
Shin’ya Nishida Japan 38 4.5k 1.2× 785 0.9× 946 1.5× 1.7k 2.7× 558 0.9× 197 5.3k
R. von der Heydt United States 29 4.8k 1.3× 1.2k 1.3× 653 1.0× 465 0.7× 614 1.0× 72 5.5k
Michael S. Landy United States 41 6.2k 1.7× 1.3k 1.4× 1.3k 2.0× 1.4k 2.2× 922 1.6× 173 7.4k

Countries citing papers authored by Daniel Kersten

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kersten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kersten

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kersten. A scholar is included among the top collaborators of Daniel Kersten 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 Daniel Kersten. Daniel Kersten 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.
Lei, Quan, Rachel Gage, Daniel Kersten, & Gordon E. Legge. (2024). The effect of illumination on the visibility of steps and ramps for people with low vision. Optometry and Vision Science. 101(6). 399–407.
2.
Lei, Quan, et al.. (2019). Effect of Observer Motion on the Visibility of Architectural Features with Simulated Acuity Reduction. Investigative Ophthalmology & Visual Science. 60(9). 1051–1051. 1 indexed citations
3.
Lei, Quan, et al.. (2018). Visibility of Steps and Ramps in Natural Lighting: Effects of Simulated Loss of Acuity and Contrast Sensitivity. Investigative Ophthalmology & Visual Science. 59(9). 3421–3421. 1 indexed citations
4.
Kersten, Daniel, et al.. (2018). Mechanisms of Lead Failure by Recall Status and Manufacturer: Results From the Pacemaker and Implantable Defibrillator Leads Survival Study ("PAIDLESS").. PubMed. 30(4). 147–151. 3 indexed citations
5.
Kersten, Daniel, et al.. (2016). The Number of Recalled Leads is Highly Predictive of Lead Failure: Results From the Pacemaker and Implantable Defibrillator Leads Survival Study ("PAIDLESS").. PubMed. 28(12). E198–E202. 1 indexed citations
6.
Mannion, Damien J., Daniel Kersten, & Cheryl A. Olman. (2015). Scene coherence can affect the local response to natural images in human V1. European Journal of Neuroscience. 42(11). 2895–2903. 6 indexed citations
7.
Kersten, Daniel, et al.. (2015). Gender-Related and Age-Related Differences in Implantable Defibrillator Recipients: Results From the Pacemaker and Implantable Defibrillator Leads Survival Study ("PAIDLESS").. PubMed. 27(12). 530–4. 2 indexed citations
8.
Kam, Tae‐Eui, et al.. (2012). Visual adaptation to reflectance-specific image motion. Journal of Vision. 12(9). 871–871. 1 indexed citations
9.
Kersten, Daniel & Alan Yuille. (2011). Bayesian Models of Object Perception. eScholarship (California Digital Library). 1 indexed citations
10.
Gold, Jason M., Craig K. Abbey, Bosco S. Tjan, & Daniel Kersten. (2009). Ideal Observers and Efficiency: Commemorating 50 Years of Tanner and Birdsall: Introduction. Journal of the Optical Society of America A. 26(11). IO1–IO1. 4 indexed citations
11.
Yuille, Alan, Fang Fang, Paul Schrater, & Daniel Kersten. (2004). Human and Ideal Observers for Detecting Image Curves. eScholarship (California Digital Library). 12 indexed citations
12.
Kersten, Daniel, et al.. (2003). Human and Ideal Observers for Detecting Image Curves. Neural Information Processing Systems. 16. 1459–1466. 10 indexed citations
13.
Kersten, Daniel, et al.. (2003). Bootstrapped learning of novel objects. Journal of Vision. 3(6). 2–2. 52 indexed citations
14.
Kersten, Daniel. (1999). High-level Vision as Statistical Inference. Bulletin of Environmental Contamination and Toxicology. 72(1). 38–44. 36 indexed citations
15.
Madison, Cindee, Daniel Kersten, William B. Thompson, Peter Shirley, & Brian Smits. (1999). The Use of Subtle Illumination Cues for Human Judgement of Spatial Layout. 2 indexed citations
16.
Höher, Jürgen, Daniel Kersten, Bertil Bouillon, Edmund Neugebauer, & T Tiling. (1997). Local and intra‐articular infiltration of bupivacaine before surgery: Effect on postoperative pain after anterior cruciate ligament reconstruction. Arthroscopy The Journal of Arthroscopic and Related Surgery. 13(2). 210–217. 31 indexed citations
17.
Knill, David C., Daniel Kersten, & Alan Yuille. (1996). Introduction: a Bayesian formulation of visual perception. Cambridge University Press eBooks. 1–21. 42 indexed citations
18.
Mamassian, Pascal & Daniel Kersten. (1996). Illumination, Shading and the Perception of Local Orientation. Vision Research. 36(15). 2351–2367. 48 indexed citations
19.
d’Avossa, Giovanni & Daniel Kersten. (1996). Evidence in Human Subjects for Independent Coding of Azimuth and Elevation for Direction of Heading from Optic Flow. Vision Research. 36(18). 2915–2924. 33 indexed citations
20.
Kersten, Daniel, et al.. (1992). The Computation of Stereo Disparity for Transparent and for Opaque Surfaces. Neural Information Processing Systems. 5. 385–392. 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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