John V. Tucker

3.1k total citations
121 papers, 1.2k citations indexed

About

John V. Tucker is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, John V. Tucker has authored 121 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computational Theory and Mathematics, 61 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in John V. Tucker's work include Computability, Logic, AI Algorithms (63 papers), Logic, programming, and type systems (40 papers) and Logic, Reasoning, and Knowledge (22 papers). John V. Tucker is often cited by papers focused on Computability, Logic, AI Algorithms (63 papers), Logic, programming, and type systems (40 papers) and Logic, Reasoning, and Knowledge (22 papers). John V. Tucker collaborates with scholars based in United Kingdom, Netherlands and Portugal. John V. Tucker's co-authors include J.A. Bergstra, V. Stoltenberg-Hansen, J. I. Zucker, Edwin Beggs, Min Chen, Arun V. Holden, José Félix Costa, Victoria Wang, Bernhard Möller and T. E. Rihll and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the ACM and Physica D Nonlinear Phenomena.

In The Last Decade

John V. Tucker

114 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John V. Tucker United Kingdom 21 864 712 133 86 67 121 1.2k
Ker‐I Ko United States 20 1.3k 1.5× 687 1.0× 307 2.3× 107 1.2× 74 1.1× 82 1.7k
Gregory B. Sorkin United States 19 481 0.6× 345 0.5× 419 3.2× 72 0.8× 35 0.5× 55 1.2k
Michel Habib France 23 886 1.0× 283 0.4× 368 2.8× 71 0.8× 100 1.5× 101 1.5k
Josep Dı́az Spain 16 721 0.8× 344 0.5× 447 3.4× 37 0.4× 111 1.7× 85 1.3k
Maurice Nivat France 25 1.8k 2.1× 1.6k 2.2× 127 1.0× 112 1.3× 288 4.3× 101 2.3k
Eli Shamir Israel 15 271 0.3× 893 1.3× 143 1.1× 53 0.6× 155 2.3× 32 1.3k
Andrzej Trybulec Poland 17 734 0.8× 362 0.5× 73 0.5× 193 2.2× 45 0.7× 55 1.4k
Virginia Vassilevska Williams United States 18 853 1.0× 472 0.7× 403 3.0× 12 0.1× 152 2.3× 71 1.3k
Michael J. Dinneen New Zealand 15 413 0.5× 361 0.5× 178 1.3× 19 0.2× 58 0.9× 80 791
Karel Čulík Canada 21 1.0k 1.2× 553 0.8× 98 0.7× 200 2.3× 114 1.7× 105 1.3k

Countries citing papers authored by John V. Tucker

Since Specialization
Citations

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

Fields of papers citing papers by John V. Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John V. Tucker. 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 John V. Tucker. The network helps show where John V. Tucker may publish in the future.

Co-authorship network of co-authors of John V. Tucker

This figure shows the co-authorship network connecting the top 25 collaborators of John V. Tucker. A scholar is included among the top collaborators of John V. Tucker 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 John V. Tucker. John V. Tucker 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
1.
2.
Bergstra, J.A. & John V. Tucker. (2024). Fracterm Calculus for Signed Common Meadows. Figshare. 2 indexed citations
3.
Bergstra, J.A. & John V. Tucker. (2024). A Complete Finite Axiomatisation of the Equational Theory of Common Meadows. ACM Transactions on Computational Logic. 26(1). 1–28. 1 indexed citations
4.
Bergstra, J.A. & John V. Tucker. (2024). Synthetic Fracterm Calculus. JUCS - Journal of Universal Computer Science. 30(3). 289–307. 3 indexed citations
5.
Bergstra, J.A. & John V. Tucker. (2023). Eager Term Rewriting For The Fracterm Calculus Of Common Meadows. The Computer Journal. 67(5). 1866–1871. 1 indexed citations
6.
Bergstra, J.A. & John V. Tucker. (2023). Naive Fracterm Calculus. JUCS - Journal of Universal Computer Science. 29(9). 961–987. 3 indexed citations
7.
Bergstra, J.A. & John V. Tucker. (2023). Eager Equality for Rational Number Arithmetic. ACM Transactions on Computational Logic. 24(3). 1–28. 2 indexed citations
8.
Bergstra, J.A. & John V. Tucker. (2022). Which Arithmetical Data Types Admit Fracterm Flattening?. SHILAP Revista de lepidopterología. XXXII(1). 87–107. 2 indexed citations
9.
Beggs, Edwin, José Félix Costa, & John V. Tucker. (2014). A Natural Computation Model of Positive Relativisation.. International journal of unconventional computing. 10. 111–141.
10.
Wang, Victoria, John V. Tucker, & T. E. Rihll. (2011). On Phatic Technologies for Creating and Maintaining Human Relationships. SSRN Electronic Journal. 1 indexed citations
11.
Möller, Bernhard & John V. Tucker. (1998). Prospects for hardware foundations : ESPRIT Working Group 8533 : NADA--new hardware design methods, survey chapters. Springer eBooks. 1 indexed citations
12.
Tucker, John V., et al.. (1993). Universal algebra. 189. 71 indexed citations
13.
Bergstra, J.A. & John V. Tucker. (1993). On bounds for the specification of finite data types of means of equations and conditional equations. John Wiley & Sons, Inc. eBooks. 103–122.
14.
Bergstra, J.A. & John V. Tucker. (1993). Equational specifications for computable data types: six hidden functions suffice and other sufficiency bounds. John Wiley & Sons, Inc. eBooks. 89–102. 1 indexed citations
15.
Bergstra, J.A. & John V. Tucker. (1987). Algebraic specifications of computable and semi-computable data structures. Data Archiving and Networked Services (DANS). 50(2). 137–181. 4 indexed citations
16.
Bergstra, J.A. & John V. Tucker. (1986). Algebraic specifications of computable and semicomputable datatypes. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–60. 1 indexed citations
17.
Bergstra, J.A. & John V. Tucker. (1982). Refinement of specifications and the stability of Hoare's logic. Lecture notes in computer science. 131. 24–36. 2 indexed citations
18.
Bergstra, J.A. & John V. Tucker. (1981). Algebraically specified programming systems and Hoare's logic. Lecture notes in computer science. 115. 348–362. 6 indexed citations
19.
Bergstra, J.A. & John V. Tucker. (1980). Initial and final algebra semantics for data type specifications: two characterisation theorems : (preprint). Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–36. 2 indexed citations
20.
Bergstra, J.A. & John V. Tucker. (1980). Equational specifications for computable data types: six hidden functions suffice and other sufficiency bounds : (preprint). Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–17. 6 indexed citations

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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