Michael Homer
Impact in
- Software top 5%
-
- Teaching and Learning Programming
Papers in
-
- Logic, programming, and type systems 14
- Software 17
- Model-Driven Software Engineering Techniques 9
- Co-authors
- James Noble (20 shared papers)Kim B. Bruce (10 shared papers)Andrew P. Black (9 shared papers)Thomas J. Smith (2 shared papers)Douglas J. Marchant (2 shared papers)Homa Safaii (2 shared papers)Christopher H. Schmid (1 shared paper)Roger A. Graham (1 shared paper)
- Journals
- Radiology (13 papers)American Journal of Roentgenology (5 papers)Physics in Medicine and Biology (2 papers)Journal of Network and Computer Applications (1 paper)Computer Networks (1 paper)
- Partner nations
- New ZealandUnited StatesUnited Kingdom
In The Last Decade
Michael Homer
56 papers receiving 572 citations
Peers
Comparison fields: 5 of 86
- Software 70
- Computer Science Applications 97
- Cancer Research 187
- Pathology and Forensic Medicine 210
- Hardware and Architecture 36
Countries citing papers authored by Michael Homer
This map shows the geographic impact of Michael Homer'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 Michael Homer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Homer more than expected).
Fields of papers citing papers by Michael Homer
This network shows the impact of papers produced by Michael Homer. 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 Michael Homer. The network helps show where Michael Homer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Homer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 78 | |
| 2 | 2008 | 47 | |
| 3 | 1986 | 44 | |
| 4 | 1985 | 39 | |
| 5 | 2014 | 36 | |
| 6 | 1983 | 28 | |
| 7 | 2012 | 24 | |
| 8 | 2013 | 21 | |
| 9 | 2012 | 21 | |
| 10 | 1982 | 19 | |
| 11 | 1984 | 19 | |
| 12 | 1997 | 18 | |
| 13 | 1980 | 15 | |
| 14 | 1992 | 14 | |
| 15 | 2016 | 14 | |
| 16 | 1991 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 1989 | 13 | |
| 19 | 2018 | 13 | |
| 20 | 2013 | 11 |
About Michael Homer
Michael Homer is a scholar working on Artificial Intelligence, Software, Pathology and Forensic Medicine, Computer Science Applications and Radiation, having authored 65 papers that have together received 616 indexed citations. Recurring topics across this work include Logic, programming, and type systems (14 papers), Breast Lesions and Carcinomas (11 papers), Teaching and Learning Programming (9 papers), Model-Driven Software Engineering Techniques (9 papers), Advanced Radiotherapy Techniques (7 papers), Radiation Therapy and Dosimetry (6 papers), Software Engineering Research (5 papers) and Breast Cancer Treatment Studies (5 papers). The work is most often cited by research in Software (70 citations), Computer Science Applications (97 citations), Cancer Research (187 citations), Pathology and Forensic Medicine (210 citations) and Hardware and Architecture (36 citations). Michael Homer has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include James Noble, Kim B. Bruce, Andrew P. Black, Thomas J. Smith, Douglas J. Marchant, Homa Safaii, Christopher H. Schmid, Roger A. Graham, Mark S. Link and Alawi Alsheikh‐Ali. Their work appears in journals such as Radiology, American Journal of Roentgenology, Physics in Medicine and Biology, Journal of Network and Computer Applications and Computer Networks.
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.