John G. Breslin

8.8k citations
238 papers · 4.9k indexed · 3 hit papers · h-index 35

Impact in

Papers in

    • Service-Oriented Architecture and Web Services 36
    • Blockchain Technology Applications and Security 17
    • Web Data Mining and Analysis 14
    • Recommender Systems and Techniques 13
    • Semantic Web and Ontologies 56

John G. Breslin

219 papers receiving 4.5k citations

Hit Papers

Industry 4.0 smart reconfigurable manufacturing machines 2021 · 190 citations
1902011202620162021100200300

Peers

John G. Breslin
Comparison fields: 5 of 161
  • Communication 382
  • Information Systems 1.2k
  • Computer Science Applications 260
  • Industrial and Manufacturing Engineering 432
  • Artificial Intelligence 1.3k
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Florian Michahelles Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by John G. Breslin

Since Specialization
Citations

This map shows the geographic impact of John G. Breslin'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. Breslin 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. Breslin more than expected).

Fields of papers citing papers by John G. Breslin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John G. Breslin, 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 G. Breslin Line = papers co-authored together John G. Breslin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20244
4 20242
5 20241
6 20233
7 20237
8 202315
9 20235
10 202311
11 202217
12 202229
13 202252
14 20215
15
Demo Abstract: Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT
20214
16 201856
17 201711
18
Decision Support using Linked, Social, and Sensor Data
20139
19 20116
20
Tag mediated society with SCOT Ontology
200710

About John G. Breslin

John G. Breslin is a scholar working on Information Systems, Artificial Intelligence, Communication, Computer Networks and Communications and Signal Processing, having authored 238 papers that have together received 4.9k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (56 papers), Service-Oriented Architecture and Web Services (36 papers), IoT and Edge/Fog Computing (20 papers), Blockchain Technology Applications and Security (17 papers), Web Data Mining and Analysis (14 papers), Recommender Systems and Techniques (13 papers), Caching and Content Delivery (12 papers) and Smart Grid Energy Management (12 papers). The work is most often cited by research in Communication (382 citations), Information Systems (1.2k citations), Computer Science Applications (260 citations), Industrial and Manufacturing Engineering (432 citations) and Artificial Intelligence (1.3k citations). John G. Breslin has collaborated with scholars based in Ireland, United States and India. Frequent co-authors include Stefan Decker, Muhammad Intizar Ali, Subhasis Thakur, W.G. Hurley, Alexandre Passant, Radhya Sahal, Eugene G. Gath, Uldis Bojārs, Bharath Sudharsan and Barry Hayes. Their work appears in journals such as IEEE Access, IEEE Internet Computing, Applied Sciences, IEEE Transactions on Consumer Electronics and Sensors.

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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