Bard Bloom

1.5k citations
37 papers · 1.2k · h-index 15

Impact in

Papers in

Bard Bloom

37 papers receiving 1.1k citations

Peers

Bard Bloom
Comparison fields: 5 of 36
  • Computational Theory and Mathematics 888
  • Software 205
  • Artificial Intelligence 973
  • Hardware and Architecture 140
  • Computer Networks and Communications 140
Replace Alberto Pettorossi with:
Alberto Pettorossi Italy
Willem-Paul de Roever Germany
Yih-Kuen Tsay Taiwan
Peter Habermehl France
Steven M. German United States
Freddy Y. C. Mang United States
Pierre Deransart France
Noomene Ben Henda Sweden
Francisco Bueno Spain
Dennis R. Dams Netherlands
Bard Bloom relative to Alberto Pettorossi Italy Alberto Pettorossi's profile →
Citations per field
00.5×1.6×
Alberto Pettorossi · 1×
Citations per year

Countries citing papers authored by Bard Bloom

Since Specialization
Citations

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

Fields of papers citing papers by Bard Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995305
2 1994105
3 198888
4 199582
5
Bisimulation can't be traced. Preliminary report
198772
6 199561
7
Ready simulation, bisimulation, and the semantics of CCS-like languages
198960
8 200447
9 200946
10 199243
11 200938
12 200625
13 199025
14 198919
15 199517
16 199213
17 200713
18 199411
19 199210
20 19959

About Bard Bloom

Bard Bloom is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Software, Hardware and Architecture and Computer Networks and Communications, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Formal Methods in Verification (22 papers), Logic, programming, and type systems (21 papers), Logic, Reasoning, and Knowledge (10 papers), Model-Driven Software Engineering Techniques (8 papers), Parallel Computing and Optimization Techniques (8 papers), Distributed systems and fault tolerance (5 papers), Semantic Web and Ontologies (3 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Computational Theory and Mathematics (888 citations), Software (205 citations), Artificial Intelligence (973 citations), Hardware and Architecture (140 citations) and Computer Networks and Communications (140 citations). Bard Bloom has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Albert R. Meyer, Sorin Istrail, Luca Aceto, Frits Vaandrager, Robert A. Paige, Wan J. Fokkink, Rob J. van Glabbeek, Jan Vítek, Keith Marzullo and Fred B. Schneider. Their work appears in journals such as Information and Computation, Theoretical Computer Science, ACM SIGPLAN Notices, ACM Transactions on Computational Logic and Lecture notes in 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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