John Keane

176 papers receiving 4.3k citations

John Keane's Hit Papers

Machine learning methods for wind turbine condition monitoring: A review 2018 · 625 citations
6250+12+25Years since publication250500750

Peers

John Keane
Comparison fields: 5 of 183
  • Management Science and Operations Research 529
  • Health Information Management 162
  • Artificial Intelligence 1.2k
  • Public Administration 114
  • Control and Systems Engineering 638
Replace James Manyika with:
James Manyika United States
Graham K. Rand United Kingdom
Jatinder N.D. Gupta United States
William B. Rouse United States
Richard Sinnott Australia
Michael Pidd United Kingdom
Samir Chatterjee United States
Ibrahim H. Osman Lebanon
James R. Evans United States
Gary Wills United Kingdom
John Keane relative to James Manyika United States James Manyika's profile →
Citations per field
00.5×2.9×
James Manyika · 1×
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 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Contradictions of the Welfare State.
Hit paper breakdown →
1988870
2
Machine learning methods for wind turbine condition monitoring: A review
Hit paper breakdown →
2018625
3 2014165
4 2008162
5 1999160
6 2001133
7 2007128
8 200997
9 201590
10 201187
11 200585
12 200980
13 201268
14 200867
15 201366
16 200963
17 201362
18 201053
19 201550
20 201350

About John Keane

John Keane is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computational Theory and Mathematics and Management Science and Operations Research, having authored 189 papers that have together received 4.8k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (24 papers), Neural Networks and Applications (22 papers), Biomedical Text Mining and Ontologies (18 papers), Data Mining Algorithms and Applications (17 papers), Rough Sets and Fuzzy Logic (15 papers), Advanced Database Systems and Queries (14 papers), Multi-Criteria Decision Making (14 papers) and Semantic Web and Ontologies (14 papers). The work is most often cited by research in Management Science and Operations Research (529 citations), Health Information Management (162 citations), Artificial Intelligence (1.2k citations), Public Administration (114 citations) and Control and Systems Engineering (638 citations). John Keane has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Claus Offe, Joshua Cohen, Xiao‐Jun Zeng, Goran Nenadić, Adrian Stetco, L. Mikhailov, Sajid Siraj, G. John Ikenberry, Mike Barnes and David Flynn. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Journal of Biomedical Informatics, Information Sciences, European Journal of Operational Research and Journal of the American Medical Informatics Association.

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.

Explore authors with similar magnitude of impact