Michael Creech
Impact in
- Human-Computer Interaction top 10%
- Usability and User Interface Design
- Innovative Human-Technology Interaction
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- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
Papers in ⓘ
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- Biomedical Text Mining and Ontologies 4
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 1
- Genetics, Bioinformatics, and Biomedical Research 1
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- Semantic Web and Ontologies 2
- Advanced Text Analysis Techniques 1
- Co-authors
- Allan Kuchinsky (6 shared papers)Celine Pering (1 shared paper)Jacek Gwizdka (1 shared paper)Robert Kincaid (3 shared papers)Annette Adler (4 shared papers)Martin Griss (1 shared paper)Aditya Vailaya (2 shared papers)Anya Tsalenko (1 shared paper)
- Journals
- Bioinformatics (3 papers)53rd AIAA Aerospace Sciences Meeting (1 paper)ACM SIGGROUP Bulletin (1 paper)Computer Networks and ISDN Systems (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Michael Creech
10 papers receiving 262 citations
Peers
Comparison fields: 5 of 72
- Human-Computer Interaction 40
- Computer Vision and Pattern Recognition 123
- Information Systems and Management 17
- Information Systems 44
- Artificial Intelligence 42
Countries citing papers authored by Michael Creech
This map shows the geographic impact of Michael Creech'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 Creech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Creech more than expected).
Fields of papers citing papers by Michael Creech
This network shows the impact of papers produced by Michael Creech. 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 Creech. The network helps show where Michael Creech may publish in the future.
Co-authors
The 12 scholars most cited alongside Michael Creech, 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 | 1999 | 137 | |
| 2 | 2004 | 53 | |
| 3 | 1991 | 30 | |
| 4 | 2008 | 18 | |
| 5 | 1996 | 14 | |
| 6 | 2002 | 12 | |
| 7 | 2015 | 10 | |
| 8 | 2015 | 8 | |
| 9 | 2002 | 3 | |
| 10 | 2004 | 3 |
About Michael Creech
Michael Creech is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science, having authored 10 papers that have together received 288 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (4 papers), Semantic Web and Ontologies (2 papers), Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (1 paper), Advanced Text Analysis Techniques (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Human-Computer Interaction (40 citations), Computer Vision and Pattern Recognition (123 citations), Information Systems and Management (17 citations), Information Systems (44 citations) and Artificial Intelligence (42 citations). Michael Creech has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Allan Kuchinsky, Celine Pering, Jacek Gwizdka, Robert Kincaid, Annette Adler, Martin Griss, Aditya Vailaya, Anya Tsalenko, Israel Steinfeld and Roy Navon. Their work appears in journals such as Bioinformatics, 53rd AIAA Aerospace Sciences Meeting, ACM SIGGROUP Bulletin and Computer Networks and ISDN Systems.
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.