John Hannan

724 citations
27 papers · 351 · h-index 13

Impact in

Papers in

John Hannan

26 papers receiving 314 citations

Peers

John Hannan
Comparison fields: 5 of 65
  • Computational Theory and Mathematics 182
  • Hardware and Architecture 52
  • Artificial Intelligence 239
  • Software 16
  • Clinical Biochemistry 12
Replace Hayo Thielecke with:
Hayo Thielecke United Kingdom
Geoffrey Burn United Kingdom
Paweł Urzyczyn Poland
Thérèse Hardin France
Zhaozhong Ni United States
Joëlle Despeyroux France
Patricia Johann United States
Stefan Monnier Canada
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Citations per year

Countries citing papers authored by John Hannan

Since Specialization
Citations

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

Fields of papers citing papers by John Hannan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside John Hannan, 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 John Hannan Line = papers co-authored together John Hannan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199246
2 199633
3
A logical framework for reasoning about logical specifications
200425
4 197622
5
Uses of Higher-Order Unification for Implementing Program Transformers.
198821
6 199021
7 200218
8
Investigating a proof-theoretic meta-language for functional programs
199016
9 201716
10 199815
11 200315
12 201512
13 199312
14 199811
15
Enriching a Meta-Language With Higher-Order Features
198810
16 19948
17
A Meta-Logic for Functional Programming.
19887
18 20047
19 20037
20 19917

About John Hannan

John Hannan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, General Health Professions and Information Systems, having authored 27 papers that have together received 351 indexed citations. Recurring topics across this work include Logic, programming, and type systems (19 papers), Formal Methods in Verification (15 papers), Logic, Reasoning, and Knowledge (10 papers), Parallel Computing and Optimization Techniques (2 papers), Software Testing and Debugging Techniques (2 papers), Software Engineering Research (2 papers), Advanced Software Engineering Methodologies (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Computational Theory and Mathematics (182 citations), Hardware and Architecture (52 citations), Artificial Intelligence (239 citations), Software (16 citations) and Clinical Biochemistry (12 citations). John Hannan has collaborated with scholars based in United States, Denmark and France. Frequent co-authors include Dale Miller, Alwen Tiu, James B. Walker, Ali R. Hurson, Frank Pfenning, Yvonne Lindsay, David T. Welsh, Pierre Caumette, R. A. Herbert and Nikki L. Hill. Their work appears in journals such as Journal of Functional Programming, International Journal of Older People Nursing, Orthopedics, ACM SIGPLAN Notices and Mathematical Structures 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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