John G. Keating

436 total citations
36 papers, 243 citations indexed

About

John G. Keating is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, John G. Keating has authored 36 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Computer Science Applications. Recurrent topics in John G. Keating's work include Chaos-based Image/Signal Encryption (8 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Digital Media Forensic Detection (6 papers). John G. Keating is often cited by papers focused on Chaos-based Image/Signal Encryption (8 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Digital Media Forensic Detection (6 papers). John G. Keating collaborates with scholars based in Ireland, Czechia and United Kingdom. John G. Keating's co-authors include Aidan Mooney, R.C. Chivers, Ioannis Pitas, K.J. Winser, F. J. Mulligan, M. Lockwood, Susan Bergin, Robert Shorten, Margaret Kelleher and Alan J. Rogers and has published in prestigious journals such as Computers & Education, Information Sciences and Neurocomputing.

In The Last Decade

John G. Keating

32 papers receiving 212 citations

Peers

John G. Keating
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 87
  • Artificial Intelligence 32
  • Computer Science Applications 31
  • Astronomy and Astrophysics 30
  • Education 28
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Citations per field, relative to John G. Keating
John G. Keating · 1×
Citations per year, relative to John G. Keating
John G. Keating · 1×

Countries citing papers authored by John G. Keating

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of John G. Keating

This figure shows the co-authorship network connecting the top 25 collaborators of John G. Keating. A scholar is included among the top collaborators of John G. Keating based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John G. Keating. John G. Keating is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Mapping and Unmapping Joyce: Geoparsing Wandering Rocks.
2
2 6
3 2
4
User ethnographies: informing requirements specifications for Ireland's, national, trusted digital repository.
1
5 37
6 1
7 13
8 1
9 4
10
Virtual Telescopes in Education
1
11
The Importance of Structure within an Adaptive Profile
1
12 1
13 10
14 25
15 0
16 5
17 1
18 26
19 2
20 2

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.

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