Daniel Schneider

82 papers receiving 947 citations

Peers

Daniel Schneider
Comparison fields: 5 of 93
  • Software 230
  • Safety, Risk, Reliability and Quality 342
  • Medical Laboratory Technology 20
  • Statistics, Probability and Uncertainty 89
  • Hardware and Architecture 63
Replace Eric Armengaud with:
Eric Armengaud Austria
Georg Macher Austria
Markus Borg Sweden
Matteo Rossi Italy
Kevin Forsberg United States
Mark Blackburn United States
Claude Baron France
Burairah Hussin Malaysia
Andreas Vogelsang Germany
Oleg A. Illiashenko Ukraine
Daniel Schneider relative to Eric Armengaud Austria Eric Armengaud's profile →
Citations per field
00.5×2×2.6×
Eric Armengaud · 1×
Citations per year

Countries citing papers authored by Daniel Schneider

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201480
2 201378
3 200462
4 202039
5 200838
6 201732
7 201830
8 201828
9 200426
10 201125
11 201021
12 201621
13 201420
14 200820
15 201320
16 201120
17 201119
18 201717
19
The distribution of pedagogical roles in a Multi-agent Learning Environment
199316
20 202016

About Daniel Schneider

Daniel Schneider is a scholar working on Safety, Risk, Reliability and Quality, Software, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 86 papers that have together received 984 indexed citations. Recurring topics across this work include Safety Systems Engineering in Autonomy (37 papers), Software Reliability and Analysis Research (27 papers), Advanced Software Engineering Methodologies (15 papers), Formal Methods in Verification (14 papers), Risk and Safety Analysis (8 papers), Supply Chain and Inventory Management (6 papers), Radiation Effects in Electronics (5 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Software (230 citations), Safety, Risk, Reliability and Quality (342 citations), Medical Laboratory Technology (20 citations), Statistics, Probability and Uncertainty (89 citations) and Hardware and Architecture (63 citations). Daniel Schneider has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Mario Trapp, Rasmus Adler, S. Eicher, Munaf T. A. Rahimo, Gereon Weiß, Samuel Hartmann, Kirsten Tracht, Georg Macher, A. Kopta and U. Schlapbach. Their work appears in journals such as Lecture notes in computer science, Microelectronics Reliability, Production Engineering, ACM Transactions on Autonomous and Adaptive Systems and European Spine Journal.

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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