Justin M Spivey
- Artificial Intelligence top 1%
- Software top 0.5%
- Computational Theory and Mathematics top 0.5%
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Co-authors
- Carroll MorganA. W. RoscoeHe JifengIb Holm SørensenBernard SufrinIan J. HayesC. A. R. HoareJ. W. Sanders
- Topics
- Antibiotics Pharmacokinetics and Efficacy (8 papers)Antibiotic Resistance in Bacteria (4 papers)Logic, programming, and type systems (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Justin M Spivey
20 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 1.3k
- Software 858
- Computational Theory and Mathematics 817
- Information Systems 737
- Computer Networks and Communications 411
Countries citing papers authored by Justin M Spivey
This map shows the geographic impact of Justin M Spivey'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 Justin M Spivey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin M Spivey more than expected).
Fields of papers citing papers by Justin M Spivey
This network shows the impact of papers produced by Justin M Spivey. 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 Justin M Spivey. The network helps show where Justin M Spivey may publish in the future.
Co-authorship network of co-authors of Justin M Spivey
This figure shows the co-authorship network connecting the top 25 collaborators of Justin M Spivey. A scholar is included among the top collaborators of Justin M Spivey 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 Justin M Spivey. Justin M Spivey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 52 | |
| 3 | 8 | |
| 4 | Engineering analysis as a historical documentation tool: Recent work of the Historic American Engineering Record | 1 |
| 5 | 63 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 12 | |
| 9 | 13 | |
| 10 | 28 | |
| 11 | 4 | |
| 12 | The Z notation: a reference manualbreakdown → | 1466 |
| 13 | 31 | |
| 14 | 6 | |
| 15 | 39 | |
| 16 | 2 | |
| 17 | 30 | |
| 18 | 62 | |
| 19 | Understanding Z: A Specification Language and its Formal Semantics | 222 |
| 20 | 204 |
About Justin M Spivey
Justin M Spivey is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Software, having authored 21 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (8 papers), Antibiotic Resistance in Bacteria (4 papers) and Logic, programming, and type systems (4 papers). The work is most often cited by research in Software (858 citations), Computational Theory and Mathematics (817 citations) and Artificial Intelligence (1.3k citations). Justin M Spivey has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Carroll Morgan, A. W. Roscoe, He Jifeng, Ib Holm Sørensen, Bernard Sufrin, Ian J. Hayes, C. A. R. Hoare, J. W. Sanders, David E. Nix and Paul Lewis. Their work appears in journals such as Communications of the ACM, Annals of Emergency Medicine and IEEE Software.
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.