Richard Grunzke
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- Scientific Computing and Data Management 32
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- Distributed and Parallel Computing Systems 29
- Advanced Data Storage Technologies 12
- Information Systems top 10%
- Research Data Management Practices 8
- Cloud Computing and Resource Management 3
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- Semantic Web and Ontologies 2
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- Parallel Computing and Optimization Techniques 2
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- Bioinformatics and Genomic Networks 2
- Co-authors
- Sonja Herres‐PawlisAlexander HoffmannSandra GesingJens KrügerWolfgang E. NagelR. Müller-PfefferkornLuis de la GarzaBernd Schuller
- Journals
- Journal of Cheminformatics (5 papers)Journal of Grid Computing (3 papers)Future Generation Computer Systems (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Richard Grunzke
40 papers receiving 351 citations
Peers
Comparison fields: 5 of 81
- Information Systems and Management 181
- Computer Networks and Communications 150
- Information Systems 95
- Process Chemistry and Technology 12
- Inorganic Chemistry 43
Countries citing papers authored by Richard Grunzke
This map shows the geographic impact of Richard Grunzke'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 Richard Grunzke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Grunzke more than expected).
Fields of papers citing papers by Richard Grunzke
This network shows the impact of papers produced by Richard Grunzke. 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 Richard Grunzke. The network helps show where Richard Grunzke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard Grunzke, 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 | 2018 | 11 | |
| 2 | Challenges in Creating a Sustainable Generic Research Data Infrastructure | 2017 | 4 |
| 3 | 2017 | 25 | |
| 4 | 2016 | 2 | |
| 5 | 2016 | 8 | |
| 6 | 2016 | 10 | |
| 7 | 2016 | 20 | |
| 8 | 2015 | 1 | |
| 9 | 2015 | 7 | |
| 10 | 2014 | 5 | |
| 11 | 2014 | 7 | |
| 12 | 2014 | 1 | |
| 13 | 2014 | 49 | |
| 14 | 2014 | 8 | |
| 15 | 2013 | 28 | |
| 16 | Data-oriented Processing in UNICORE | 2013 | 6 |
| 17 | User-friendly workflows in quantum chemistry | 2013 | 6 |
| 18 | A Data Driven Science Gateway for Computational Workflows | 2012 | 7 |
| 19 | 2011 | 3 | |
| 20 | MoSGrid: Progress of Workflow driven Chemical Simulations | 2011 | 1 |
About Richard Grunzke
Richard Grunzke is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems, having authored 40 papers that have together received 361 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (32 papers), Distributed and Parallel Computing Systems (29 papers), Advanced Data Storage Technologies (12 papers), Research Data Management Practices (8 papers), Cloud Computing and Resource Management (3 papers), Semantic Web and Ontologies (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Information Systems and Management (181 citations), Computer Networks and Communications (150 citations) and Information Systems (95 citations). Richard Grunzke has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Sonja Herres‐Pawlis, Alexander Hoffmann, Sandra Gesing, Jens Krüger, Wolfgang E. Nagel, R. Müller-Pfefferkorn, Luis de la Garza, Bernd Schuller, André Brinkmann and Sebastian Breuers. Their work appears in journals such as Journal of Cheminformatics, Journal of Grid Computing, Future Generation Computer Systems, Current Drug Targets and BioMed Research International.
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.