M. C. Browne

8.4k citations
34 papers · 948 · h-index 12

Impact in

Papers in

M. C. Browne

30 papers receiving 864 citations

Peers

M. C. Browne
Comparison fields: 5 of 63
  • Software 283
  • Computational Theory and Mathematics 595
  • Hardware and Architecture 220
  • Radiation 105
  • Artificial Intelligence 370
Replace W. G. Bouricius with:
W. G. Bouricius United States
M. Pleško Slovenia
Stephan Falke Germany
P. J. Plauger United States
S. J. Goldsack United Kingdom
Glenn R. Luecke United States
M. A. Hennell United Kingdom
J. C. Fernandez France
D. Sidhu United States
A. Forino Italy
M. C. Browne relative to W. G. Bouricius United States W. G. Bouricius's profile →
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W. G. Bouricius · 1×
Citations per year

Countries citing papers authored by M. C. Browne

Since Specialization
Citations

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

Fields of papers citing papers by M. C. Browne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. C. Browne. 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 M. C. Browne. The network helps show where M. C. Browne may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988352
2 1989151
3 198694
4 199469
5 200957
6 199531
7 198727
8 198523
9 200221
10 199817
11
Automatic verification of finite state machines using temporal logic
198913
12 200111
13 200210
14 200010
15 20079
16 20139
17 20008
18 19957
19 20145
20 20164

About M. C. Browne

M. C. Browne is a scholar working on Radiation, Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 34 papers that have together received 948 indexed citations. Recurring topics across this work include Formal Methods in Verification (9 papers), Radiation Detection and Scintillator Technologies (8 papers), Nuclear Physics and Applications (8 papers), Logic, programming, and type systems (5 papers), Embedded Systems Design Techniques (4 papers), Parallel Computing and Optimization Techniques (4 papers), Interconnection Networks and Systems (4 papers) and Nuclear reactor physics and engineering (4 papers). The work is most often cited by research in Software (283 citations), Computational Theory and Mathematics (595 citations), Hardware and Architecture (220 citations), Radiation (105 citations) and Artificial Intelligence (370 citations). M. C. Browne has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include E. M. Clarke, Orna Grümberg, Andreas Nowatzyk, K. D. Ianakiev, Boian S. Alexandrov, P. B. Littlewood, Michael Parkin, T. H. Prettyman, C.E. Moss and E. Allen Emerson. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Physica C Superconductivity, Radiation Measurements, Information and Computation and Theoretical Computer Science.

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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