R. Müller-Pfefferkorn
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- Scientific Computing and Data Management 21
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- Distributed and Parallel Computing Systems 18
- Advanced Data Storage Technologies 9
- Information Systems top 10%
- Research Data Management Practices 9
- Cloud Computing and Resource Management 3
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- Parallel Computing and Optimization Techniques 5
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- Data Quality and Management 2
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- Advanced Data Processing Techniques 1
- Co-authors
- Sonja Herres‐PawlisRichard GrunzkeThomas SteinkeSandra GesingJens KrügerPatrick SchäferLars PackschiesWolfgang E. Nagel
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Chemical Theory and Computation (1 paper)Future Generation Computer Systems (3 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
R. Müller-Pfefferkorn
30 papers receiving 197 citations
Peers
Comparison fields: 5 of 72
- Information Systems and Management 96
- Computer Networks and Communications 87
- Information Systems 56
- Hardware and Architecture 13
- Computational Theory and Mathematics 22
Countries citing papers authored by R. Müller-Pfefferkorn
This map shows the geographic impact of R. Müller-Pfefferkorn'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 R. Müller-Pfefferkorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Müller-Pfefferkorn more than expected).
Fields of papers citing papers by R. Müller-Pfefferkorn
This network shows the impact of papers produced by R. Müller-Pfefferkorn. 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 R. Müller-Pfefferkorn. The network helps show where R. Müller-Pfefferkorn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Müller-Pfefferkorn, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 1 | |
| 10 | 2018 | 11 | |
| 11 | Challenges in Creating a Sustainable Generic Research Data Infrastructure | 2017 | 4 |
| 12 | 2014 | 49 | |
| 13 | 2013 | 28 | |
| 14 | A Data Driven Science Gateway for Computational Workflows | 2012 | 7 |
| 15 | 2011 | 3 | |
| 16 | MoSGrid: Progress of Workflow driven Chemical Simulations | 2011 | 1 |
| 17 | 2011 | 2 | |
| 18 | 2010 | 8 | |
| 19 | 2008 | 8 | |
| 20 | 2004 | 7 |
About R. Müller-Pfefferkorn
R. Müller-Pfefferkorn is a scholar working on Information Systems and Management, Computer Networks and Communications and Hardware and Architecture, having authored 33 papers that have together received 204 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (21 papers), Distributed and Parallel Computing Systems (18 papers), Research Data Management Practices (9 papers), Advanced Data Storage Technologies (9 papers), Parallel Computing and Optimization Techniques (5 papers), Cloud Computing and Resource Management (3 papers), Data Quality and Management (2 papers) and Advanced Data Processing Techniques (1 paper). The work is most often cited by research in Information Systems and Management (96 citations), Computer Networks and Communications (87 citations) and Information Systems (56 citations). R. Müller-Pfefferkorn has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Sonja Herres‐Pawlis, Richard Grunzke, Thomas Steinke, Sandra Gesing, Jens Krüger, Patrick Schäfer, Lars Packschies, Wolfgang E. Nagel, Sebastian Breuers and André Brinkmann. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Chemical Theory and Computation and Future Generation Computer Systems.
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.