David J. Jilk

639 citations
11 papers · 321 indexed · h-index 7

Impact in

Papers in

    • Decision-Making and Behavioral Economics 1
    • Face Recognition and Perception 4
    • Neural dynamics and brain function 4
    • Memory and Neural Mechanisms 2
    • Visual perception and processing mechanisms 2
    • Cognitive Science and Education Research 1

David J. Jilk

11 papers receiving 306 citations

Peers

David J. Jilk
Comparison fields: 5 of 73
  • Cognitive Neuroscience 177
  • Physical Therapy, Sports Therapy and Rehabilitation 29
  • Artificial Intelligence 90
  • Computer Vision and Pattern Recognition 41
  • Experimental and Cognitive Psychology 21
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Citations per field
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Citations per year

Countries citing papers authored by David J. Jilk

Since Specialization
Citations

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

Fields of papers citing papers by David J. Jilk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside David J. Jilk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David J. Jilk Line = papers co-authored together David J. Jilk links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Conceptual-Linguistic Superintelligence
20171
2 20171
3 201470
4 201337
5 2013103
6 20109
7 20081
8 200879
9
The SAL integrated cognitive architecture
200811
10
Attentional Blink: An Internal Traffic Jam
20076
11
Effectiveness of Neural Network Learning Rules Generated by a Biophysical Model of Synaptic Plasticity
20033

About David J. Jilk

David J. Jilk is a scholar working on General Decision Sciences, Cognitive Neuroscience, Physical Therapy, Sports Therapy and Rehabilitation, Artificial Intelligence and Developmental and Educational Psychology, having authored 11 papers that have together received 321 indexed citations. Recurring topics across this work include Face Recognition and Perception (4 papers), Neural dynamics and brain function (4 papers), Memory and Neural Mechanisms (2 papers), Cognitive Science and Mapping (2 papers), Visual perception and processing mechanisms (2 papers), Cognitive Science and Education Research (1 paper), Decision-Making and Behavioral Economics (1 paper) and Balance, Gait, and Falls Prevention (1 paper). The work is most often cited by research in Cognitive Neuroscience (177 citations), Physical Therapy, Sports Therapy and Rehabilitation (29 citations), Artificial Intelligence (90 citations), Computer Vision and Pattern Recognition (41 citations) and Experimental and Cognitive Psychology (21 citations). David J. Jilk has collaborated with scholars based in United States. Frequent co-authors include Randall C. O’Reilly, Dean Wyatte, John R. Anderson, Christian Lebière, Seth Herd, Seyed A. Safavynia, Lena H. Ting, Niels Taatgen, Alexander A. Petrov and Ion Juvina. Their work appears in journals such as Frontiers in Psychology, Behavioral and Brain Sciences, Experimental Brain Research, Journal of Experimental & Theoretical Artificial Intelligence and SSRN Electronic Journal.

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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