Michael Johnson

2.0k citations
98 papers · 1.3k · h-index 14

Impact in

    • Face Recognition and Perception
    • Neural and Behavioral Psychology Studies
    • Visual perception and processing mechanisms
    • Memory and Neural Mechanisms
    • Neural dynamics and brain function
  • Software top 10%

Papers in

Michael Johnson

88 papers receiving 1.2k citations

Peers

Michael Johnson
Comparison fields: 5 of 136
  • Cognitive Neuroscience 520
  • Software 37
  • Experimental and Cognitive Psychology 124
  • Computer Networks and Communications 199
  • Strategy and Management 122
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Citations per field
00.5×9.4×
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Citations per year

Countries citing papers authored by Michael Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Michael Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995323
2 1996158
3 2009100
4 201779
5 200057
6 198932
7 198630
8
Fluid-based Simulation of Communication Networks using SSF
199926
9 200222
10 201118
11 200715
12 198414
13 199113
14 201013
15 200112
16
Unifying Set-Based, Delta-Based and Edit-Based Lenses
201612
17
An illustrated mathematical foundation for ERA
199211
18 201011
19 200110
20 201310

About Michael Johnson

Michael Johnson is a scholar working on Computer Networks and Communications, Artificial Intelligence, Cognitive Neuroscience, Signal Processing and Information Systems, having authored 98 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (17 papers), Semantic Web and Ontologies (11 papers), Visual perception and processing mechanisms (9 papers), Data Management and Algorithms (8 papers), Logic, programming, and type systems (6 papers), Service-Oriented Architecture and Web Services (5 papers), Homotopy and Cohomology in Algebraic Topology (5 papers) and Technology Adoption and User Behaviour (4 papers). The work is most often cited by research in Cognitive Neuroscience (520 citations), Software (37 citations), Experimental and Cognitive Psychology (124 citations), Computer Networks and Communications (199 citations) and Strategy and Management (122 citations). Michael Johnson has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Deborah J. Hellawell, Andrew W. Young, Robert Rosebrugh, J. Richard Hanley, Paul Broks, John P. Aggleton, Peter Wenderoth, Kamel Mellahi, Mark Collard and Ian P. McCarthy. Their work appears in journals such as The Economic and Labour Relations Review, Perception, Journal of Pure and Applied Algebra, International Journal of Services and Operations Management and Australian Journal of Human Rights.

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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