Philipp Weiß

23 papers receiving 320 citations

Peers

Philipp Weiß
Comparison fields: 5 of 104
  • Health Informatics 23
  • Industrial and Manufacturing Engineering 32
  • Artificial Intelligence 98
  • Safety Research 24
  • General Decision Sciences 4
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Shuchang Ma China
Marc Becker Germany
Bowen Yu China
Rajesh Mahadeva India
Jihao Liu China
Abdülkadir Karacı Türkiye
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Citations per year

Countries citing papers authored by Philipp Weiß

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Weiß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020105
2 201449
3 201734
4 200832
5 199729
6 201315
7 202014
8
OeNB climate risk stress test – modeling a carbon price shock for the Austrian banking sector
20219
9 20088
10 20198
11 20187
12 20176
13 20206
14
Environmental Management Systems and Certification
20065
15 20203
16 20193
17
Interpretability Through Invertibility: A Deep Convolutional Network With Ideal Counterfactuals And Isosurfaces
20213
18 20212
19
Metallurgische Verbesserung von mischkristallverfestigten Gusseisen mit Kugelgrafit: Einfluss von Cobalt und Nickel auf die Mikrostruktur Teil 1: Stand der Technik, Auswirkungen von Co und Ni auf die Matrix, Grafitkugelzahl und ‐form von hochsiliziumhaltigem GJS
20171
20 20231

About Philipp Weiß

Philipp Weiß is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Mechanical Engineering, Materials Chemistry and Computer Networks and Communications, having authored 27 papers that have together received 346 indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (5 papers), Metal Alloys Wear and Properties (5 papers), Real-Time Systems Scheduling (4 papers), Aluminum Alloys Composites Properties (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Adversarial Robustness in Machine Learning (3 papers), Distributed systems and fault tolerance (2 papers) and Radiation Effects in Electronics (2 papers). The work is most often cited by research in Health Informatics (23 citations), Industrial and Manufacturing Engineering (32 citations), Artificial Intelligence (98 citations), Safety Research (24 citations) and General Decision Sciences (4 citations). Philipp Weiß has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Andreas Bührig–Polaczek, Martin Schuessler, Nadia Bianchi‐Berthouze, Enrico Costanza, Erik Kärrman, Jon Petter Gustafsson, Fritz Ebert, H. Büttner, Sebastian Steinhorst and Dominik Möst. Their work appears in journals such as Materials Science and Technology, ACS Chemical Neuroscience, Resources Conservation and Recycling, International Journal of Metalcasting and Materials Science and Engineering A.

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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