H. Raymond Strong

2.9k total citations
38 papers, 1.6k citations indexed

About

H. Raymond Strong is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, H. Raymond Strong has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 15 papers in Computational Theory and Mathematics. Recurrent topics in H. Raymond Strong's work include Distributed systems and fault tolerance (14 papers), Logic, programming, and type systems (8 papers) and Computability, Logic, AI Algorithms (8 papers). H. Raymond Strong is often cited by papers focused on Distributed systems and fault tolerance (14 papers), Logic, programming, and type systems (8 papers) and Computability, Logic, AI Algorithms (8 papers). H. Raymond Strong collaborates with scholars based in United States and Israel. H. Raymond Strong's co-authors include Danny Dolev, Ronald Fagin, Nicholas Pippenger, Jürg Nievergelt, Joseph Y. Halpern, Cynthia Dwork, Amotz Bar-Noy, Nancy Lynch, Michael J. Fischer and Rob Fowler and has published in prestigious journals such as Communications of the ACM, Mathematics of Computation and Journal of the ACM.

In The Last Decade

H. Raymond Strong

38 papers receiving 1.4k citations

Peers

H. Raymond Strong
Comparison fields: 5 of 74
  • Computer Networks and Communications 1.2k
  • Artificial Intelligence 750
  • Computational Theory and Mathematics 356
  • Information Systems 210
  • Hardware and Architecture 194
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Citations per field, relative to H. Raymond Strong
H. Raymond Strong · 1×
Citations per year, relative to H. Raymond Strong
H. Raymond Strong · 1×

Countries citing papers authored by H. Raymond Strong

Since Specialization
Citations

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

Fields of papers citing papers by H. Raymond Strong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Raymond Strong. 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 H. Raymond Strong. The network helps show where H. Raymond Strong may publish in the future.

Co-authorship network of co-authors of H. Raymond Strong

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 13
2 51
3 127
4
On Safety and Timeliness in Distributed Data Management
1
5 35
6 58
7
Highly Available Communication.
1
8 87
9 2
10 31
11 454
12 6
13 10
14 2
15 30
16 46
17 2
18 11
19 21
20
An algebraic approach through uniformly reflexive structures to generalized recursive function theory
3

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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