John Hogg
Impact in
- Software top 10%
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Distributed systems and fault tolerance 5
- Advanced Database Systems and Queries 2
- Distributed and Parallel Computing Systems 2
- Software System Performance and Reliability 1
-
- Logic, programming, and type systems 4
- Security and Verification in Computing 3
- Co-authors
- Alan Wills (1 shared paper)Doug Lea (1 shared paper)Frederick H. Lochovsky (2 shared papers)Alberto O. Mendelzon (2 shared papers)Oscar Nierstrasz (1 shared paper)S. Gibbs (1 shared paper)D. Tsichritzis (1 shared paper)Fausto Rabitti (1 shared paper)
- Journals
- IEEE Transactions on Communications (1 paper)Organometallics (1 paper)ACM SIGPLAN Notices (1 paper)ACM SIGOIS Bulletin (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
John Hogg
11 papers receiving 336 citations
Peers
Comparison fields: 5 of 37
- Software 54
- Hardware and Architecture 71
- Artificial Intelligence 314
- Computer Networks and Communications 130
- Information Systems 113
Countries citing papers authored by John Hogg
This map shows the geographic impact of John Hogg'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 Hogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hogg more than expected).
Fields of papers citing papers by John Hogg
This network shows the impact of papers produced by John Hogg. 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 Hogg. The network helps show where John Hogg may publish in the future.
Co-authors
The 14 scholars most cited alongside John Hogg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 184 | |
| 2 | 1992 | 117 | |
| 3 | 1982 | 22 | |
| 4 | 1991 | 21 | |
| 5 | 1988 | 18 | |
| 6 | 1994 | 15 | |
| 7 | Imail - An Intelligent Mail System. | 1983 | 7 |
| 8 | 1988 | 7 | |
| 9 | 1987 | 6 | |
| 10 | 1984 | 4 | |
| 11 | 1991 | 1 |
About John Hogg
John Hogg is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Organic Chemistry and Management Information Systems, having authored 11 papers that have together received 402 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (5 papers), Logic, programming, and type systems (4 papers), Security and Verification in Computing (3 papers), Advanced Database Systems and Queries (2 papers), Distributed and Parallel Computing Systems (2 papers), Formal Methods in Verification (2 papers), Cyclopropane Reaction Mechanisms (1 paper) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Software (54 citations), Hardware and Architecture (71 citations), Artificial Intelligence (314 citations), Computer Networks and Communications (130 citations) and Information Systems (113 citations). John Hogg has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Alan Wills, Doug Lea, Frederick H. Lochovsky, Alberto O. Mendelzon, Oscar Nierstrasz, S. Gibbs, D. Tsichritzis, Fausto Rabitti, Paul G. Pringle and Paola Bergamini. Their work appears in journals such as IEEE Transactions on Communications, Organometallics, ACM SIGPLAN Notices, ACM SIGOIS Bulletin and IEEE Data(base) Engineering Bulletin.
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.