John A. Keane

402 citations
19 papers · 78 · h-index 5

Impact in

Papers in

John A. Keane

17 papers receiving 73 citations

Peers

John A. Keane
Comparison fields: 5 of 45
  • Artificial Intelligence 42
  • Information Systems 20
  • Signal Processing 8
  • Health Information Management 3
  • Computational Theory and Mathematics 9
Replace Panayiotis Pintelas with:
Panayiotis Pintelas Greece
Wenlin Chen United States
Simon Ott Austria
Christopher Akiki Germany
Baptiste Rozière France
Ankit Kumar India
Giovanni Zappella Italy
Andrew Regenscheid United States
Badhan Chandra Das Bangladesh
Om Dipakbhai Thakkar United States
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Citations per field
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Citations per year

Countries citing papers authored by John A. Keane

Since Specialization
Citations

This map shows the geographic impact of John A. 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 A. 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 A. Keane more than expected).

Fields of papers citing papers by John A. Keane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside John A. 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 A. Keane Line = papers co-authored together John A. Keane links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Ontology Learning with Deep Learning: a Case Study on Patient Safety Using PubMed.
201614
2
Fuzzy C-means++: Fuzzy C-means with effective seeding initialization 42(21):7541-7548, 2015.
20159
3 20019
4 20147
5
Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
20026
6 20055
7
Deep Learning meets Semantic Web: A feasibility study with the Cardiovascular Disease Ontology and PubMed citations.
20165
8 19994
9 19993
10 20123
11 20243
12 20073
13
Contradiciones en el estado del bienestar
19902
14
The Data-Gathering Broker--A User-Based Approach to Viable EPR Systems.
20052
15 19981
16 20141
17
Die neuen Despotien
20151
18 20180
19 20200

About John A. Keane

John A. Keane is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computational Theory and Mathematics and General Social Sciences, having authored 19 papers that have together received 78 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (3 papers), Data Mining Algorithms and Applications (3 papers), Biomedical Text Mining and Ontologies (3 papers), Fuzzy Logic and Control Systems (3 papers), Topic Modeling (3 papers), Algorithms and Data Compression (2 papers), Data Quality and Management (2 papers) and Lexicography and Language Studies (1 paper). The work is most often cited by research in Artificial Intelligence (42 citations), Information Systems (20 citations), Signal Processing (8 citations), Health Information Management (3 citations) and Computational Theory and Mathematics (9 citations). John A. Keane has collaborated with scholars based in United Kingdom and Sweden. Frequent co-authors include Xiao‐Jun Zeng, Adrian Stetco, Goran Nenadić, Robert Stevens, George Demetriou, Panos Liatsis, Hui Yang, Norman W. Paton, Khalil Abudahab and Julie Klein. Their work appears in journals such as Expert Systems with Applications, ReCALL, Lecture notes in computer science, Merkur and Palgrave Macmillan 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.

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