K. Verbert

666 citations
9 papers · 554 · 1 hit paper · h-index 9

Impact in

Papers in

K. Verbert

9 papers receiving 545 citations

K. Verbert's Hit Papers

Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks 2016 · 266 citations
2660+3+6Years since publication50100150200250

Peers

K. Verbert
Comparison fields: 5 of 40
  • Computer Graphics and Computer-Aided Design 61
  • Control and Systems Engineering 309
  • Safety, Risk, Reliability and Quality 101
  • Building and Construction 36
  • Industrial and Manufacturing Engineering 17
Replace Wei Zexian with:
Wei Zexian China
Jian Miao China
Zhenpeng Lao China
Xiaoqing Cheng China
Gregorio Ismael Sainz-Palmero Spain
Chunhai Gao China
Gang Niu China
Minglan Xiong China
Jianhui Luo United States
Linlin Kou China
K. Verbert relative to Wei Zexian China Wei Zexian's profile →
Citations per field
00.5×2×4×5.1×
Wei Zexian · 1×
Citations per year

Countries citing papers authored by K. Verbert

Since Specialization
Citations

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

Fields of papers citing papers by K. Verbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside K. Verbert, 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 K. Verbert Line = papers co-authored together K. Verbert links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks
Hit paper breakdown →
2016266
2 201774
3 201667
4 201757
5 201528
6 201823
7 201617
8 201513
9 20159

About K. Verbert

K. Verbert is a scholar working on Control and Systems Engineering, Computer Graphics and Computer-Aided Design, Safety, Risk, Reliability and Quality, Artificial Intelligence and Management Science and Operations Research, having authored 9 papers that have together received 554 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (4 papers), Transportation Systems and Safety (2 papers), Reliability and Maintenance Optimization (2 papers), Bayesian Modeling and Causal Inference (1 paper), Machine Fault Diagnosis Techniques (1 paper), Engineering and Test Systems (1 paper), Advanced Computational Techniques and Applications (1 paper) and Multi-Criteria Decision Making (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (61 citations), Control and Systems Engineering (309 citations), Safety, Risk, Reliability and Quality (101 citations), Building and Construction (36 citations) and Industrial and Manufacturing Engineering (17 citations). K. Verbert has collaborated with scholars based in Netherlands. Frequent co-authors include Robert Babuška, Tim de Bruin, Bart De Schutter and Roland Tóth. Their work appears in journals such as Engineering Applications of Artificial Intelligence, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Reliability, IEEE Transactions on Neural Networks and Learning Systems and Reliability Engineering & System Safety.

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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