István Nagy

63 papers receiving 612 citations

Peers

István Nagy
Comparison fields: 5 of 78
  • Software 32
  • Control and Systems Engineering 172
  • Computer Vision and Pattern Recognition 142
  • Biomedical Engineering 285
  • Artificial Intelligence 179
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Ève Coste-Manière France
Ajay Kumar Tanwani United States
Brijen Thananjeyan United States
Jeffrey Ichnowski United States
Xishi Huang Canada
Necaattin Barışçı Türkiye
Hehua Zhang China
Elsayed A. Sallam Egypt
Jason Campbell United States
Kyriakos M. Deliparaschos Cyprus
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Citations per field
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Citations per year

Countries citing papers authored by István Nagy

Since Specialization
Citations

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

Fields of papers citing papers by István Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008125
2 200656
3 200550
4 200738
5 199437
6
Composing aspects at shared join points
200536
7 200734
8 200828
9 200720
10
Declarative Aspect Composition
200420
11 200518
12 200615
13
A complex cerebrovascular screening system (CERBERUS).
199514
14 200213
15
On the design of aspect-oriented composition models for software evolution
200613
16
Utilizing Design Information in Aspect-Oriented Programming
20059
17
Endo[PA]R: An Open Evaluation System for Minimally Invasive Robotic Surgery
20049
18 20058
19 19708
20
Behaviour Study of a Multi-Agent Mobile Robot System during Potential Field Building
20097

About István Nagy

István Nagy is a scholar working on Biomedical Engineering, Surgery, Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 68 papers that have together received 667 indexed citations. Recurring topics across this work include Soft Robotics and Applications (18 papers), Surgical Simulation and Training (16 papers), Advanced Software Engineering Methodologies (15 papers), Software Engineering Research (12 papers), Service-Oriented Architecture and Web Services (9 papers), Cardiac and Coronary Surgery Techniques (9 papers), Robotic Path Planning Algorithms (8 papers) and Anatomy and Medical Technology (6 papers). The work is most often cited by research in Software (32 citations), Control and Systems Engineering (172 citations), Computer Vision and Pattern Recognition (142 citations), Biomedical Engineering (285 citations) and Artificial Intelligence (179 citations). István Nagy has collaborated with scholars based in Hungary, Germany and Netherlands. Frequent co-authors include Alois Knoll, Hermann Mayer, Robert Bauernschmitt, Lodewijk Bergmans, Mehmet Akşit, Daan Wierstra, Faustino Gomez, Jürgen Schmidhuber, Rüdiger Lange and Péter Bárányi. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Advanced Robotics, Applied Sciences, Acta Polytechnica Hungarica and Journal of Physics Condensed Matter.

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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