Douglas J. McKnight

1.3k citations
31 papers · 745 indexed · 1 hit paper · h-index 10

Douglas J. McKnight

26 papers receiving 708 citations

Hit Papers

Cortical layer–specific critical dynamics triggering perc...3642019202620212023100200300

Peers

Douglas J. McKnight
Comparison fields: 5 of 66
  • Cellular and Molecular Neuroscience 281
  • Media Technology 130
  • Cognitive Neuroscience 229
  • Electronic, Optical and Magnetic Materials 184
  • Biophysics 37
Replace Chaoyi Li with:
Chaoyi Li China
Armand R. Tanguay United States
Masahiro Nunoshita Japan
Pamela Abshire United States
V. Poher France
Z.K. Kalayjian United States
Derric Williams United States
Sean Quirin United States
Volodymyr Nikolenko United States
Robert H. Cormack United States
Douglas J. McKnight relative to Chaoyi Li China Chaoyi Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Douglas J. McKnight

Since Specialization
Citations

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

Fields of papers citing papers by Douglas J. McKnight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Douglas J. McKnight, 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 Douglas J. McKnight Line = papers co-authored together Douglas J. McKnight links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2
Cortical layer–specific critical dynamics triggering perceptionbreakdown →
2019364
3 20051
4 20020
5 20020
6 19991
7 199814
8 19972
9 19979
10 199720
11 19963
12 19963
13 19953
14 19954
15 199519
16 19942
17 19931
18
The implementation of a programmable digital optical processor
19911
19 198925
20 19880

About Douglas J. McKnight

Douglas J. McKnight is a scholar working on Media Technology, Electronic, Optical and Magnetic Materials and Surfaces, Coatings and Films, having authored 31 papers that have together received 745 indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (18 papers), Liquid Crystal Research Advancements (16 papers), Optical Polarization and Ellipsometry (8 papers), Semiconductor Lasers and Optical Devices (8 papers), Photonic and Optical Devices (6 papers), Photonic Crystals and Applications (5 papers), Phase-change materials and chalcogenides (3 papers) and Photorefractive and Nonlinear Optics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (281 citations), Media Technology (130 citations) and Cognitive Neuroscience (229 citations). Douglas J. McKnight has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Kristina M. Johnson, Ian Underwood, Janelle Shane, Jonathan Kadmon, Brandon Benson, James H. Marshel, Hideaki Kato, Charu Ramakrishnan, Timothy A. Machado and Masatoshi Inoue. Their work appears in journals such as Optics Letters, Journal of the Society for Information Display, Science, IEEE Photonics Technology Letters and IEEE Journal of Quantum Electronics.

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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