Mark Bickford

701 citations
48 papers · 493 · h-index 11

Impact in

Papers in

Mark Bickford

44 papers receiving 442 citations

Peers

Mark Bickford
Comparison fields: 5 of 36
  • Hardware and Architecture 138
  • Computational Theory and Mathematics 257
  • Software 47
  • Computer Networks and Communications 223
  • Artificial Intelligence 247
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Citations per year

Countries citing papers authored by Mark Bickford

Since Specialization
Citations

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

Fields of papers citing papers by Mark Bickford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Mark Bickford, 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 Mark Bickford Line = papers co-authored together Mark Bickford links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990109
2 200563
3 200228
4
Nysiad: practical protocol transformation to tolerate Byzantine failures
200826
5 200921
6 200114
7 200814
8 201313
9 200212
10
A Logic of Events
200312
11 201611
12 199610
13
The Logic of Events, a framework to reason about distributed systems
201210
14
A Type Theory with Partial Equivalence Relations as Types
20149
15
Verification of the FtCayuga fault-tolerant microprocessor system. Volume 1: A case study in theorem prover-based verification
19919
16
Generating event logics with higher-order processes as realizers
20119
17 20138
18 20058
19
A Causal Logic of Events in Formalized Computational Type Theory
20058
20 20098

About Mark Bickford

Mark Bickford is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 48 papers that have together received 493 indexed citations. Recurring topics across this work include Logic, programming, and type systems (28 papers), Formal Methods in Verification (20 papers), Distributed systems and fault tolerance (17 papers), Logic, Reasoning, and Knowledge (12 papers), Embedded Systems Design Techniques (7 papers), Computability, Logic, AI Algorithms (6 papers), Security and Verification in Computing (5 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Hardware and Architecture (138 citations), Computational Theory and Mathematics (257 citations), Software (47 citations), Computer Networks and Communications (223 citations) and Artificial Intelligence (247 citations). Mark Bickford has collaborated with scholars based in United States, Luxembourg and France. Frequent co-authors include Mandayam Srivas, Robert L. Constable, Vincent Rahli, Robbert van Renesse, Christoph Kreitz, Richard G. Eaton, Stuart F. Allen, Liana M. Lorigo, Abhishek Anand and Danny Dolev. Their work appears in journals such as Mathematical Structures in Computer Science, Science of Computer Programming, Journal of Applied Logic, Journal of the ACM and Logical Methods 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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