Erkki Jantunen

2.0k citations
73 papers · 1.4k indexed · 1 hit paper · h-index 16

Erkki Jantunen

70 papers receiving 1.3k citations

Hit Papers

A summary of fault modelling and predictive health monito...3682015202620182022100200300

Peers

Erkki Jantunen
Comparison fields: 5 of 85
  • Medical Laboratory Technology 90
  • Industrial and Manufacturing Engineering 244
  • Control and Systems Engineering 545
  • Mechanical Engineering 780
  • Safety, Risk, Reliability and Quality 153
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Countries citing papers authored by Erkki Jantunen

Since Specialization
Citations

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

Fields of papers citing papers by Erkki Jantunen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
MIMOSA for Condition-based Maintenance
20211
2 20195
3 20187
4 20186
5 20176
6
How can SMEs adopt a new method to advanced maintenance strategies? A Case study approach
20174
7 20160
8 201492
9 201215
10
Condition monitoring based on incremental learning and domain ontology for condition-based maintenance
201013
11
Ontology of mobile maintenance processes
20095
12
A Mobile Maintenance Decision Support System
20085
13 20087
14 200710
15 200616
16
How to diagnose the wear of rolling element bearings based on indirect condition monitoring methods
200610
17 200618
18
Flexible hierarchical neuro-fuzzy system for prognosis
20001
19 19964
20
Automated on-line diagnosis of cutting tool condition
19958

About Erkki Jantunen

Erkki Jantunen is a scholar working on Medical Laboratory Technology, Industrial and Manufacturing Engineering and Safety, Risk, Reliability and Quality, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (14 papers), Quality and Safety in Healthcare (12 papers), Machine Fault Diagnosis Techniques (11 papers), Flexible and Reconfigurable Manufacturing Systems (10 papers), Engineering Diagnostics and Reliability (8 papers), Fault Detection and Control Systems (7 papers), Advanced machining processes and optimization (7 papers) and Digital Transformation in Industry (6 papers). The work is most often cited by research in Medical Laboratory Technology (90 citations), Industrial and Manufacturing Engineering (244 citations) and Control and Systems Engineering (545 citations). Erkki Jantunen has collaborated with scholars based in Finland, United Kingdom and Spain. Frequent co-authors include Idriss El‐Thalji, Jaime Campos, Christos Emmanouilidis, Aitor Arnáiz, David Baglee, Pankaj Sharma, Luca Fumagalli, Jayantha P. Liyanage, Michele Albano and Om Prakash. Their work appears in journals such as IEEE Access, Mechanical Systems and Signal Processing and International Journal of Machine Tools and Manufacture.

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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