Peter Ballé

1.6k citations
18 papers · 1.1k indexed · 1 hit paper · h-index 11

Peter Ballé

18 papers receiving 1.0k citations

Hit Papers

Trends in the application of model-based fault detection ...8111997202620062016250500750

Peers

Peter Ballé
Comparison fields: 5 of 61
  • Control and Systems Engineering 1.0k
  • Statistics, Probability and Uncertainty 153
  • Medical Laboratory Technology 15
  • Mechanical Engineering 316
  • Artificial Intelligence 190
Replace Janos J. Gertler with:
Janos J. Gertler United States
Jan Maciej Kościelny Poland
János Gertler United States
Beike Zhang China
Philippe Goupil France
Adel Haghani Germany
E.L. Ding Germany
X. Ding Germany
Gregory J. Kacprzynski United States
Shunsuke Chigusa United States
Peter Ballé relative to Janos J. Gertler United States Janos J. Gertler's profile →
Citations per field
00.5×1.5×2.5×
Janos J. Gertler · 1×
Citations per year

Countries citing papers authored by Peter Ballé

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ballé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 5 scholars most cited alongside Peter Ballé, 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 Peter Ballé Line = papers co-authored together Peter Ballé links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20027
2 20021
3 20003
4 20005
5 200032
6 199924
7 199931
8 199840
9 199811
10 199710
11 199712
12 199710
13
Residual evaluation in fault diagnosis by means of transferable belief model
19974
14
Trends in the application of model-based fault detection and diagnosis of technical processesbreakdown →
1997811
15 19979
16 19971
17 199724
18 199669

About Peter Ballé

Peter Ballé is a scholar working on Control and Systems Engineering, Analytical Chemistry, Statistics, Probability and Uncertainty, Software and Artificial Intelligence, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (18 papers), Advanced Control Systems Optimization (10 papers), Mineral Processing and Grinding (5 papers), Fuzzy Logic and Control Systems (5 papers), Machine Fault Diagnosis Techniques (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Risk and Safety Analysis (2 papers) and Software Reliability and Analysis Research (1 paper). The work is most often cited by research in Control and Systems Engineering (1.0k citations), Statistics, Probability and Uncertainty (153 citations), Medical Laboratory Technology (15 citations), Mechanical Engineering (316 citations) and Artificial Intelligence (190 citations). Peter Ballé has collaborated with scholars based in Germany and Slovenia. Frequent co-authors include Rolf Isermann, Đani Juričić, Oliver Nelles, Martin C. Fischer and Susanne Ernst. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Control Engineering Practice, IEEE Control Systems, IFAC Proceedings Volumes and TUbilio (Technical University of Darmstadt).

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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