Andreas Kroll

2.4k citations
118 papers · 1.5k · h-index 19

Impact in

Papers in

Andreas Kroll

101 papers receiving 1.5k citations

Peers

Andreas Kroll
Comparison fields: 5 of 110
  • Control and Systems Engineering 828
  • Industrial and Manufacturing Engineering 150
  • Mechanical Engineering 523
  • Artificial Intelligence 231
  • Automotive Engineering 81
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Yong Zhao China
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Bahador Khaleghi Canada
Jingli Yang China
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Kroll

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Kroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003253
2
Hydraulic Servo-systems: Modelling, Identification and Control
2012225
3 200796
4 202086
5 200576
6 199664
7 201459
8 200948
9 200536
10 201430
11 201227
12 201325
13 201325
14 201624
15 199923
16 201723
17 201022
18 200920
19 201020
20 201618

About Andreas Kroll

Andreas Kroll is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 118 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (33 papers), Control Systems and Identification (22 papers), Fuzzy Logic and Control Systems (19 papers), Advanced Control Systems Optimization (19 papers), Neural Networks and Applications (18 papers), Hydraulic and Pneumatic Systems (12 papers), Infrared Target Detection Methodologies (9 papers) and Thermography and Photoacoustic Techniques (6 papers). The work is most often cited by research in Control and Systems Engineering (828 citations), Industrial and Manufacturing Engineering (150 citations), Mechanical Engineering (523 citations), Artificial Intelligence (231 citations) and Automotive Engineering (81 citations). Andreas Kroll has collaborated with scholars based in Germany, Colombia and China. Frequent co-authors include Mohieddine Jelali, Horst Schulte, Rasmus H. Nyström, Iiro Harjunkoski, Chun Liu, Jan Oldenburg, Wolfgang Marquardt, Rüdiger Franke, Sebastian Schramm and Patrick Gerland. Their work appears in journals such as IEEE Sensors Journal, Applied Soft Computing, Computers & Chemical Engineering, International Journal of Fuzzy Systems and at - Automatisierungstechnik.

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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