Neil Ghani

46 papers receiving 454 citations

Peers

Neil Ghani
Comparison fields: 5 of 41
  • Artificial Intelligence 430
  • Computational Theory and Mathematics 260
  • Computer Networks and Communications 77
  • Mathematical Physics 66
  • Hardware and Architecture 40
Replace Filippo Bonchi with:
Filippo Bonchi Italy
Thorsten Altenkirch United Kingdom
J. M. E. Hyland United Kingdom
William H. Burge United States
J. L. Bell Canada
Martin Hyland United Kingdom
Sam Staton United Kingdom
Dominic Verity Australia
Richard D. Jenks United States
Peter LeFanu Lumsdaine United States
Neil Ghani relative to Filippo Bonchi Italy Filippo Bonchi's profile →
Citations per field
00.5×1.5×2.1×
Filippo Bonchi · 1×
Citations per year

Countries citing papers authored by Neil Ghani

Since Specialization
Citations

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

Fields of papers citing papers by Neil Ghani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Ghani

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Ghani. A scholar is included among the top collaborators of Neil Ghani 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 Neil Ghani. Neil Ghani 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
#WorkIndexed citations
1 1
2 3
3 1
4 1
5 1
6 4
7 13
8
Short Cut Fusion for Effects.
5
9
Constructing strictly positive families
11
10 6
11 84
12 1
13
∂ for Data: Differentiating Data Structures
18
14 15
15
Rewriting via coinserters
3
16
Derivatives of Containers
4
17
Coalgebraic approaches to algebraic terms.
1
18 36
19 7
20
Eta-Expansions in Fomega
1

About Neil Ghani

Neil Ghani is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Mathematical Physics, having authored 48 papers that have together received 483 indexed citations. Recurring topics across this work include Logic, programming, and type systems (37 papers), Logic, Reasoning, and Knowledge (28 papers) and Formal Methods in Verification (9 papers). The work is most often cited by research in Computational Theory and Mathematics (260 citations), Artificial Intelligence (430 citations) and Software (37 citations). Neil Ghani has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Thorsten Altenkirch, Patricia Johann, Michael Abbott, Christoph Lüth, Tarmo Uustalu, C. Barry Jay, Peter Morris, Conor McBride, John Power and Dirk Pattinson. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Theoretical Computer Science and ACM SIGPLAN Notices.

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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