Alfons Schuster

573 citations
51 papers · 318 · h-index 11

Impact in

Papers in

Alfons Schuster

48 papers receiving 294 citations

Peers

Alfons Schuster
Comparison fields: 5 of 78
  • Industrial and Manufacturing Engineering 72
  • Automotive Engineering 33
  • Computer Vision and Pattern Recognition 48
  • Nuclear Energy and Engineering 1
  • Artificial Intelligence 67
Replace Guodong Wang with:
Guodong Wang China
Jiadui Chen China
Binbin Zhang China
Seung-Hwan Choi South Korea
Dongguo Zhou China
Rick Dewar United Kingdom
Richard McWilliam United Kingdom
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Alfons Schuster relative to Guodong Wang China Guodong Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alfons Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Alfons Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200128
2 201723
3 202319
4 200619
5 201817
6 201817
7 200817
8 201717
9 202112
10 199712
11 201010
12 20179
13
Aggregating features and matching cases on vague linguistic expressions
19978
14 20098
15 20057
16 20206
17 20116
18 20056
19
Corporate evidential decision making in performance prediction domains
19975
20 20185

About Alfons Schuster

Alfons Schuster is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Artificial Intelligence, Mechanics of Materials and Control and Systems Engineering, having authored 51 papers that have together received 318 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (10 papers), Additive Manufacturing and 3D Printing Technologies (7 papers), Robotic Mechanisms and Dynamics (6 papers), Robotic Path Planning Algorithms (6 papers), Advanced Measurement and Metrology Techniques (5 papers), Modular Robots and Swarm Intelligence (4 papers), Thermography and Photoacoustic Techniques (4 papers) and AI-based Problem Solving and Planning (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (72 citations), Automotive Engineering (33 citations), Computer Vision and Pattern Recognition (48 citations), Nuclear Energy and Engineering (1 citation) and Artificial Intelligence (67 citations). Alfons Schuster has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include Michael Kupke, Daniel Berrar, Jonghwa Kim, Werner Dubitzky, Yoko Yamaguchi, Xosé A. Vila, David Bell, Martin Granzow, Francisco Azuaje and John G. Hughes. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Kybernetes, Biosystems, Minds and Machines and Applied Intelligence.

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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