John Keane

157 papers receiving 3.7k citations

Hit Papers

Machine learning methods for wind turbine condition monitoring: A review 2018 · 588 citations
5881988202620002013200400600

Peers

John Keane
Comparison fields: 5 of 185
  • Management Science and Operations Research 496
  • Health Information Management 178
  • Artificial Intelligence 1.2k
  • Public Administration 104
  • Control and Systems Engineering 601
Replace Dimitris Askounis with:
Dimitris Askounis Greece
Yukun Bao China
Lin Wang China
Gary Klein United States
William B. Rouse United States
Stijn Viaene Belgium
Shu-Hsien Liao Taiwan
Wei Xu China
Yufei Yuan Canada
David Rı́os Insua Spain
John Keane relative to Dimitris Askounis Greece Dimitris Askounis's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Keane

Since Specialization
Citations

This map shows the geographic impact of John Keane'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 Keane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Keane more than expected).

Fields of papers citing papers by John Keane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Keane. 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 Keane. The network helps show where John Keane may publish in the future.

Co-authors

The 25 scholars most cited alongside John Keane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Keane Line = papers co-authored together John Keane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Contradictions of the Welfare State.
Hit paper breakdown →
1988745
2
Machine learning methods for wind turbine condition monitoring: A review
Hit paper breakdown →
2018588
3 2008158
4 2014156
5 1999121
6 2007120
7 200987
8 201184
9 200581
10 201577
11 200970
12 201267
13 200865
14 200961
15 201356
16 201355
17 201051
18 201445
19 201345
20 201542

About John Keane

John Keane is a scholar working on Artificial Intelligence, Management Science and Operations Research, Health Information Management, Computational Theory and Mathematics and Hardware and Architecture, having authored 166 papers that have together received 4.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (22 papers), Fuzzy Logic and Control Systems (22 papers), Neural Networks and Applications (21 papers), Semantic Web and Ontologies (16 papers), Topic Modeling (15 papers), Multi-Criteria Decision Making (14 papers), Data Mining Algorithms and Applications (12 papers) and Fuzzy Systems and Optimization (11 papers). The work is most often cited by research in Management Science and Operations Research (496 citations), Health Information Management (178 citations), Artificial Intelligence (1.2k citations), Public Administration (104 citations) and Control and Systems Engineering (601 citations). John Keane has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Joshua Cohen, Claus Offe, Xiao‐Jun Zeng, Goran Nenadić, Adrian Stetco, L. Mikhailov, Sajid Siraj, Mike Barnes, Valentin Robu and David Flynn. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Information Sciences, European Journal of Operational Research, Journal of Biomedical Informatics and Requirements Engineering.

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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