A citation-based method for searching scientific literature

Adrien Doerig, Lynn Schmittwilken, Bilge Sayim, Mauro Manassi, Michael H Herzog. PLoS Comput Biol 2020
Times Cited: 3







List of co-cited articles
18 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity



Configuration influence on crowding.
Tomer Livne, Dov Sagi. J Vis 2007
117
66

Crowding, grouping, and object recognition: A matter of appearance.
Michael H Herzog, Bilge Sayim, Vitaly Chicherov, Mauro Manassi. J Vis 2015
52
66


When crowding of crowding leads to uncrowding.
Mauro Manassi, Bilge Sayim, Michael H Herzog. J Vis 2013
58
66

A summary-statistic representation in peripheral vision explains visual crowding.
Benjamin Balas, Lisa Nakano, Ruth Rosenholtz. J Vis 2009
147
66

Crowding is unlike ordinary masking: distinguishing feature integration from detection.
Denis G Pelli, Melanie Palomares, Najib J Majaj. J Vis 2004
384
66

Neural dynamics of grouping and segmentation explain properties of visual crowding.
Gregory Francis, Mauro Manassi, Michael H Herzog. Psychol Rev 2017
15
66

Beyond Bouma's window: How to explain global aspects of crowding?
Adrien Doerig, Alban Bornet, Ruth Rosenholtz, Gregory Francis, Aaron M Clarke, Michael H Herzog. PLoS Comput Biol 2019
13
66

The uncrowded window of object recognition.
Denis G Pelli, Katharine A Tillman. Nat Neurosci 2008
353
66

Putting low-level vision into global context: Why vision cannot be reduced to basic circuits.
Michael H Herzog, Evelina Thunell, Haluk Ögmen. Vision Res 2016
7
66

Challenges to pooling models of crowding: Implications for visual mechanisms.
Ruth Rosenholtz, Dian Yu, Shaiyan Keshvari. J Vis 2019
12
66

Contrast thresholds for identification of numeric characters in direct and eccentric view.
H Strasburger, L O Harvey, I Rentschler. Percept Psychophys 1991
228
66

Global stimulus configuration modulates crowding.
Toni P Saarela, Bilge Sayim, Gerald Westheimer, Michael H Herzog. J Vis 2009
89
66


What crowding can tell us about object representations.
Mauro Manassi, Sophie Lonchampt, Aaron Clarke, Michael H Herzog. J Vis 2016
15
66

Grouping, pooling, and when bigger is better in visual crowding.
Mauro Manassi, Bilge Sayim, Michael H Herzog. J Vis 2012
94
66



Depth in convolutional neural networks solves scene segmentation.
Noor Seijdel, Nikos Tsakmakidis, Edward H F de Haan, Sander M Bohte, H Steven Scholte. PLoS Comput Biol 2020
3
33


Deriving behavioural receptive fields for visually completed contours.
J M Gold, R F Murray, P J Bennett, A B Sekuler. Curr Biol 2000
134
33

Humans, but Not Deep Neural Networks, Often Miss Giant Targets in Scenes.
Miguel P Eckstein, Kathryn Koehler, Lauren E Welbourne, Emre Akbas. Curr Biol 2017
21
33



Detection of shape in radial frequency contours: independence of local and global form information.
Jason Bell, David R Badcock, Hugh Wilson, Frances Wilkinson. Vision Res 2007
49
33

Deep convolutional networks do not classify based on global object shape.
Nicholas Baker, Hongjing Lu, Gennady Erlikhman, Philip J Kellman. PLoS Comput Biol 2018
30
33



A theory of visual interpolation in object perception.
P J Kellman, T F Shipley. Cogn Psychol 1991
406
33

Humans can decipher adversarial images.
Zhenglong Zhou, Chaz Firestone. Nat Commun 2019
11
33

Coding of border ownership in monkey visual cortex.
H Zhou, H S Friedman, R von der Heydt. J Neurosci 2000
380
33


Deep neural networks rival the representation of primate IT cortex for core visual object recognition.
Charles F Cadieu, Ha Hong, Daniel L K Yamins, Nicolas Pinto, Diego Ardila, Ethan A Solomon, Najib J Majaj, James J DiCarlo. PLoS Comput Biol 2014
182
33


Dermatologist-level classification of skin cancer with deep neural networks.
Andre Esteva, Brett Kuprel, Roberto A Novoa, Justin Ko, Susan M Swetter, Helen M Blau, Sebastian Thrun. Nature 2017
33

Perception of wholes and of their component parts: some configural superiority effects.
J R Pomerantz, L C Sager, R J Stoever. J Exp Psychol Hum Percept Perform 1977
214
33

Cue dynamics underlying rapid detection of animals in natural scenes.
James H Elder, Ljiljana Velisavljević. J Vis 2009
31
33

Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
436
33

Deep Neural Networks as a Computational Model for Human Shape Sensitivity.
Jonas Kubilius, Stefania Bracci, Hans P Op de Beeck. PLoS Comput Biol 2016
75
33

Perception of partly occluded objects in infancy.
P J Kellman, E S Spelke. Cogn Psychol 1983
265
33

The reviewing of object files: object-specific integration of information.
D Kahneman, A Treisman, B J Gibbs. Cogn Psychol 1992
987
33

Abstract shape representation in human visual perception.
Nicholas Baker, Philip J Kellman. J Exp Psychol Gen 2018
6
33


Bayesian estimation of the shape skeleton.
Jacob Feldman, Manish Singh. Proc Natl Acad Sci U S A 2006
72
33

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence.
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva. Sci Rep 2016
164
33


Towards a unified perspective of object shape and motion processing in human dorsal cortex.
Gennady Erlikhman, Gideon P Caplovitz, Gennadiy Gurariy, Jared Medina, Jacqueline C Snow. Conscious Cogn 2018
11
33


The emergence of kind-based object individuation in infancy.
Fei Xu, Susan Carey, Nina Quint. Cogn Psychol 2004
57
33


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.