Markus Schilling
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction 4
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- Scientific Computing and Data Management 6
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- Polymer crystallization and properties 3
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- Mechanical Behavior of Composites 5
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- Research Data Management Practices 5
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- Semantic Web and Ontologies 5
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- Orthopaedic implants and arthroplasty 2
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- Machine Learning in Materials Science 2
- Co-authors
- Ute NiebergallRon WakkaryAudrey DesjardinsHenry LinMartin BöhningSabrina HauserJörg WaitelonisHenning Windhagen
- Journals
- Polymer Testing (4 papers)Advanced Engineering Materials (3 papers)Integrating materials and manufacturing innovation (2 papers)
- Partner nations
- GermanyCanadaNetherlands
In The Last Decade
Markus Schilling
22 papers receiving 324 citations
Peers
Comparison fields: 5 of 84
- Human-Computer Interaction 82
- Information Systems and Management 26
- Biomaterials 40
- Polymers and Plastics 33
- Mechanical Engineering 80
Countries citing papers authored by Markus Schilling
This map shows the geographic impact of Markus Schilling'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 Markus Schilling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schilling more than expected).
Fields of papers citing papers by Markus Schilling
This network shows the impact of papers produced by Markus Schilling. 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 Markus Schilling. The network helps show where Markus Schilling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Schilling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 29 | |
| 8 | 2022 | 30 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 20 | |
| 11 | 2018 | 12 | |
| 12 | 2018 | 4 | |
| 13 | 2018 | 36 | |
| 14 | 2017 | 20 | |
| 15 | 2017 | 26 | |
| 16 | 2015 | 54 | |
| 17 | 2015 | 27 | |
| 18 | 2014 | 7 | |
| 19 | 2012 | 1 | |
| 20 | 2006 | 10 |
About Markus Schilling
Markus Schilling is a scholar working on Information Systems and Management, Human-Computer Interaction, Mechanics of Materials, Information Systems and Polymers and Plastics, having authored 23 papers that have together received 329 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Mechanical Behavior of Composites (5 papers), Research Data Management Practices (5 papers), Semantic Web and Ontologies (5 papers), Innovative Human-Technology Interaction (4 papers), Polymer crystallization and properties (3 papers), Orthopaedic implants and arthroplasty (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Human-Computer Interaction (82 citations), Information Systems and Management (26 citations), Biomaterials (40 citations), Polymers and Plastics (33 citations) and Mechanical Engineering (80 citations). Markus Schilling has collaborated with scholars based in Germany, Canada and Netherlands. Frequent co-authors include Ute Niebergall, Ron Wakkary, Audrey Desjardins, Henry Lin, Martin Böhning, Sabrina Hauser, Jörg Waitelonis, Henning Windhagen, Elmar Willbold and Andreas Weizbauer. Their work appears in journals such as Polymer Testing, Advanced Engineering Materials, Integrating materials and manufacturing innovation, Materials Science and Engineering C and Epilepsia.
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.