John G. Keating
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
-
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
Papers in
-
- Chaos-based Image/Signal Encryption 8
- Advanced Steganography and Watermarking Techniques 7
- Digital Media Forensic Detection 6
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- Neural Networks and Applications 3
- Co-authors
- Aidan Mooney (7 shared papers)R.C. Chivers (1 shared paper)Ioannis Pitas (1 shared paper)K.J. Winser (1 shared paper)M. Lockwood (1 shared paper)F. J. Mulligan (1 shared paper)Susan Bergin (1 shared paper)Robert Shorten (2 shared papers)
- Journals
- Chaos Solitons & Fractals (4 papers)Computers & Education (2 papers)Information Sciences (1 paper)Planetary and Space Science (1 paper)International Journal of Emerging Technologies in Learning (iJET) (1 paper)
- Partner nations
- IrelandCzechiaUnited Kingdom
In The Last Decade
John G. Keating
32 papers receiving 212 citations
Peers
Comparison fields: 5 of 71
- Computer Science Applications 31
- Computer Vision and Pattern Recognition 87
- Astronomy and Astrophysics 30
- Mathematical Physics 16
- Building and Construction 21
Countries citing papers authored by John G. Keating
This map shows the geographic impact of John G. Keating'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 G. Keating with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John G. Keating more than expected).
Fields of papers citing papers by John G. Keating
This network shows the impact of papers produced by John G. Keating. 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 G. Keating. The network helps show where John G. Keating may publish in the future.
Co-authors
The 20 scholars most cited alongside John G. Keating, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 37 | |
| 2 | 1990 | 30 | |
| 3 | 1998 | 26 | |
| 4 | 2005 | 25 | |
| 5 | 2006 | 21 | |
| 6 | 2009 | 13 | |
| 7 | 2005 | 10 | |
| 8 | 2002 | 8 | |
| 9 | 2003 | 8 | |
| 10 | 2014 | 6 | |
| 11 | 2003 | 6 | |
| 12 | 2004 | 6 | |
| 13 | 2004 | 6 | |
| 14 | 2004 | 5 | |
| 15 | 2007 | 4 | |
| 16 | A Framework for Higher Education. | 2008 | 4 |
| 17 | 2021 | 4 | |
| 18 | 2001 | 4 | |
| 19 | Mapping and Unmapping Joyce: Geoparsing Wandering Rocks. | 2014 | 2 |
| 20 | 2014 | 2 |
About John G. Keating
John G. Keating is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science Applications, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 36 papers that have together received 243 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (8 papers), Advanced Steganography and Watermarking Techniques (7 papers), Digital Media Forensic Detection (6 papers), Online Learning and Analytics (3 papers), Neural Networks and Applications (3 papers), Innovative Teaching and Learning Methods (3 papers), Open Education and E-Learning (3 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in Computer Science Applications (31 citations), Computer Vision and Pattern Recognition (87 citations), Astronomy and Astrophysics (30 citations), Mathematical Physics (16 citations) and Building and Construction (21 citations). John G. Keating has collaborated with scholars based in Ireland, Czechia and United Kingdom. Frequent co-authors include Aidan Mooney, R.C. Chivers, Ioannis Pitas, K.J. Winser, M. Lockwood, F. J. Mulligan, Susan Bergin, Robert Shorten, Margaret Kelleher and Alan J. Rogers. Their work appears in journals such as Chaos Solitons & Fractals, Computers & Education, Information Sciences, Planetary and Space Science and International Journal of Emerging Technologies in Learning (iJET).
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.