Bertram Nickolay

444 citations
24 papers · 157 · h-index 7

Impact in

Papers in

Bertram Nickolay

22 papers receiving 138 citations

Peers

Bertram Nickolay
Comparison fields: 5 of 54
  • Industrial and Manufacturing Engineering 55
  • Computer Vision and Pattern Recognition 61
  • Control and Systems Engineering 36
  • Medical Laboratory Technology 2
  • Media Technology 12
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Citations per year

Countries citing papers authored by Bertram Nickolay

Since Specialization
Citations

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

Fields of papers citing papers by Bertram Nickolay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Bertram Nickolay, 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 Bertram Nickolay Line = papers co-authored together Bertram Nickolay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200551
2 199420
3 200411
4 19998
5 19978
6 20008
7 20057
8 19966
9
Applied Soft Computing Technologies: The Challenge of Complexity (Advances in Soft Computing)
20065
10 19965
11 19975
12 19965
13 20154
14 19993
15 20122
16
Proceedings of the 28th conference on Pattern Recognition
20062
17 20001
18 20041
19 20001
20
Vision Systems: Applications
19961

About Bertram Nickolay

Bertram Nickolay is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Artificial Intelligence, Computational Mechanics and Computer Networks and Communications, having authored 24 papers that have together received 157 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (5 papers), Image and Object Detection Techniques (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Image Retrieval and Classification Techniques (3 papers), Medical Image Segmentation Techniques (2 papers), Evolutionary Algorithms and Applications (2 papers), Sensor Technology and Measurement Systems (2 papers) and Infrared Target Detection Methodologies (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (55 citations), Computer Vision and Pattern Recognition (61 citations), Control and Systems Engineering (36 citations), Medical Laboratory Technology (2 citations) and Media Technology (12 citations). Bertram Nickolay has collaborated with scholars based in Germany and United States. Frequent co-authors include Jörg Krüger, Mario Köppen, G. Seliger, Sabine Mueller, Oliver Schulz, Katrin Franke, Klaus‐Robert Müller, Bernd Jähne, Ajith Abraham and Bernard De Baets. Their work appears in journals such as Zeitschrift für wirtschaftlichen Fabrikbetrieb, CIRP Annals, Neurocomputing, Fuzzy Sets and Systems and Complementary Medicine Research.

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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