Philipp Weiß

25 papers receiving 357 citations

Peers

Philipp Weiß
Comparison fields: 5 of 107
  • Health Informatics 27
  • Industrial and Manufacturing Engineering 35
  • Safety Research 27
  • Artificial Intelligence 108
  • Mechanical Engineering 84
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Zijian Ding United States
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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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020117
2 201450
3 200835
4 201734
5 199731
6 201321
7 202015
8
OeNB climate risk stress test – modeling a carbon price shock for the Austrian banking sector
202111
9
Environmental Management Systems and Certification
200610
10 20209
11 20198
12 20088
13 20187
14 20176
15 20194
16
Interpretability Through Invertibility: A Deep Convolutional Network With Ideal Counterfactuals And Isosurfaces
20214
17 20203
18 20212
19 20092
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 28 papers that have together received 386 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), Adversarial Robustness in Machine Learning (3 papers), Aluminum Alloys Composites Properties (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Wastewater Treatment and Reuse (2 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Health Informatics (27 citations), Industrial and Manufacturing Engineering (35 citations), Safety Research (27 citations), Artificial Intelligence (108 citations) and Mechanical Engineering (84 citations). Philipp Weiß has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Martin Schuessler, Andreas Bührig–Polaczek, Nadia Bianchi‐Berthouze, Enrico Costanza, Jon Petter Gustafsson, Erik Kärrman, H. Büttner, Fritz Ebert, Björn Pustal and Sebastian Steinhorst. Their work appears in journals such as Materials Science and Technology, International Journal of Metalcasting, Materials Science and Engineering A, ACS Chemical Neuroscience and Resources Conservation and Recycling.

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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