Christopher L. Carmichael
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
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- Data Mining Algorithms and Applications 13
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- Data Visualization and Analytics 11
- Co-authors
- Carson Kai-Sang Leung (13 shared papers)Pourang Irani (2 shared papers)Álvaro Uribe-Quevedo (4 shared papers)Paul Giles (1 shared paper)William Yang Wang (1 shared paper)Adam G.M. Pazdor (1 shared paper)Fan Jiang (1 shared paper)Álvaro Hernández (1 shared paper)
- Journals
- Lecture notes in computer science (3 papers)Communications in computer and information science (1 paper)ACM SIGKDD Explorations Newsletter (1 paper)Advances in information quality and management (1 paper)IGI Global eBooks (1 paper)
- Partner nations
- CanadaColombiaSwitzerland
In The Last Decade
Christopher L. Carmichael
17 papers receiving 409 citations
Peers
Comparison fields: 5 of 51
- Signal Processing 146
- Information Systems 241
- Health Information Management 26
- Computer Vision and Pattern Recognition 126
- Statistical and Nonlinear Physics 69
Countries citing papers authored by Christopher L. Carmichael
This map shows the geographic impact of Christopher L. Carmichael'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 Christopher L. Carmichael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher L. Carmichael more than expected).
Fields of papers citing papers by Christopher L. Carmichael
This network shows the impact of papers produced by Christopher L. Carmichael. 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 Christopher L. Carmichael. The network helps show where Christopher L. Carmichael may publish in the future.
Co-authors
The 8 scholars most cited alongside Christopher L. Carmichael, 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 | 2007 | 69 | |
| 2 | 2010 | 67 | |
| 3 | 2011 | 60 | |
| 4 | 2010 | 59 | |
| 5 | 2008 | 47 | |
| 6 | 2008 | 42 | |
| 7 | 2009 | 15 | |
| 8 | 2020 | 11 | |
| 9 | 2017 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2010 | 7 | |
| 12 | 2011 | 7 | |
| 13 | 2016 | 5 | |
| 14 | 2013 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2011 | 3 | |
| 17 | 2019 | 1 |
About Christopher L. Carmichael
Christopher L. Carmichael is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction and Statistical and Nonlinear Physics, having authored 17 papers that have together received 419 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), Data Visualization and Analytics (11 papers), Data Management and Algorithms (8 papers), Virtual Reality Applications and Impacts (4 papers), Complex Network Analysis Techniques (2 papers), Teleoperation and Haptic Systems (2 papers), Advanced Database Systems and Queries (2 papers) and Human Motion and Animation (1 paper). The work is most often cited by research in Signal Processing (146 citations), Information Systems (241 citations), Health Information Management (26 citations), Computer Vision and Pattern Recognition (126 citations) and Statistical and Nonlinear Physics (69 citations). Christopher L. Carmichael has collaborated with scholars based in Canada, Colombia and Switzerland. Frequent co-authors include Carson Kai-Sang Leung, Pourang Irani, Álvaro Uribe-Quevedo, Paul Giles, William Yang Wang, Adam G.M. Pazdor, Fan Jiang and Álvaro Hernández. Their work appears in journals such as Lecture notes in computer science, Communications in computer and information science, ACM SIGKDD Explorations Newsletter, Advances in information quality and management and IGI Global eBooks.
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.