Gregory F. Johnson

1.5k total citations · 1 hit paper
18 papers, 985 citations indexed

About

Gregory F. Johnson is a scholar working on Artificial Intelligence, Hardware and Architecture and Information Systems. According to data from OpenAlex, Gregory F. Johnson has authored 18 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Hardware and Architecture and 5 papers in Information Systems. Recurrent topics in Gregory F. Johnson's work include Logic, programming, and type systems (10 papers), Parallel Computing and Optimization Techniques (8 papers) and Software Engineering Research (5 papers). Gregory F. Johnson is often cited by papers focused on Logic, programming, and type systems (10 papers), Parallel Computing and Optimization Techniques (8 papers) and Software Engineering Research (5 papers). Gregory F. Johnson collaborates with scholars based in United States and Canada. Gregory F. Johnson's co-authors include Richard N. Taylor, Alexander L. Wolf, Michael M. Gorlick, Peyman Oreizy, Alex Quilici, David S. Rosenblum, Nenad Medvidović, Charles N. Fischer, Dominic Duggan and Peter Collins and has published in prestigious journals such as ACM SIGPLAN Notices, ACM Transactions on Computer-Human Interaction and Acta Informatica.

In The Last Decade

Gregory F. Johnson

18 papers receiving 878 citations

Hit Papers

An architecture-based approach to self-adaptive software 1999 2026 2008 2017 1999 200 400 600

Peers

Gregory F. Johnson
Comparison fields: 5 of 58
  • Artificial Intelligence 782
  • Information Systems 565
  • Computer Networks and Communications 473
  • Software 153
  • Computational Theory and Mathematics 104
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Citations per field, relative to Gregory F. Johnson
Gregory F. Johnson · 1×
Citations per year, relative to Gregory F. Johnson
Gregory F. Johnson · 1×

Countries citing papers authored by Gregory F. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Gregory F. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory F. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory F. Johnson. A scholar is included among the top collaborators of Gregory F. Johnson 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 Gregory F. Johnson. Gregory F. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1
An architecture-based approach to self-adaptive software breakdown →
630
2 40
3 1
4 27
5
Supporting Separations of Concerns and Concurrency in the Chiron-1 User Interface System
1
6 2
7 27
8 9
9 3
10 36
11 13
12 49
13 42
14 16
15 45
16 4
17
An approach to incremental semantics
12
18 28

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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