Mark R. Tuttle

2.7k citations
50 papers · 1.4k indexed · h-index 16

Mark R. Tuttle

50 papers receiving 1.2k citations

Peers

Mark R. Tuttle
Comparison fields: 5 of 57
  • Computer Networks and Communications 864
  • Hardware and Architecture 238
  • Computational Theory and Mathematics 517
  • Software 120
  • Artificial Intelligence 616
Replace Amitabha Roy with:
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Lawrence H. Landweber United States
Carel S. Schölten Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Mark R. Tuttle

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Tuttle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20218
2 20202
3
SMT-Based System Verification with DVF.
20125
4 20121
5 201139
6 20098
7 20096
8 20073
9 200528
10 20025
11
The Wildfire Challenge Problem
20015
12
TLA+ Verification of Cache-Coherence Protocols
20003
13 200042
14 19999
15 199835
16
Redo Recovery after System Crashes
199523
17
Knowledge and Distributed computation
19895
18 198910
19
A Knowledge-Based Analysis of Zero Knowledge (Preliminary Report)
19882
20 1988105

About Mark R. Tuttle

Mark R. Tuttle is a scholar working on Hardware and Architecture, Software, Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (23 papers), Formal Methods in Verification (11 papers), Parallel Computing and Optimization Techniques (10 papers), Security and Verification in Computing (9 papers), Optimization and Search Problems (7 papers), Cryptography and Data Security (7 papers), Petri Nets in System Modeling (5 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (864 citations), Hardware and Architecture (238 citations), Computational Theory and Mathematics (517 citations), Software (120 citations) and Artificial Intelligence (616 citations). Mark R. Tuttle has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Nancy Lynch, Martı́n Abadi, Yoram Moses, Joseph Y. Halpern, Maurice Herlihy, David Lomet, Zvi Lotker, Michal Koucký, Chen Avin and Noga Alon. Their work appears in journals such as Journal of the ACM, Formal Methods in System Design, Theoretical Computer Science, Software Practice and Experience and Theory of Computing Systems.

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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