Dan Gunter
- Materials Chemistry top 0.2%
- Machine Learning in Materials Science 5
- Catalysis top 1%
- Inorganic Chemistry top 1%
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- Distributed and Parallel Computing Systems 35
- Advanced Data Storage Technologies 15
- Software System Performance and Reliability 8
- Software-Defined Networks and 5G 4
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- Scientific Computing and Data Management 26
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- Cloud Computing and Resource Management 13
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- Parallel Computing and Optimization Techniques 6
- Co-authors
- Kristin A. PerssonAnubhav JainShyue Ping OngShreyas CholiaGerbrand CederGeoffroy HautierWilliam D. RichardsWei Chen
- Journals
- Computational Materials Science (2 papers)Journal of the American Chemical Society (1 paper)Applied Energy (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Dan Gunter
64 papers receiving 14.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Materials Chemistry 9.8k
- Catalysis 853
- Inorganic Chemistry 1.3k
- Renewable Energy, Sustainability and the Environment 1.4k
- Electrical and Electronic Engineering 5.0k
Countries citing papers authored by Dan Gunter
This map shows the geographic impact of Dan Gunter'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 Dan Gunter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Gunter more than expected).
Fields of papers citing papers by Dan Gunter
This network shows the impact of papers produced by Dan Gunter. 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 Dan Gunter. The network helps show where Dan Gunter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Gunter, 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 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 7 | |
| 4 | Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) - A New U.S. DOE Data Archive | 2017 | 1 |
| 5 | 2015 | 2 | |
| 6 | FireWorks: a dynamic workflow system designed for high‐throughput applicationsbreakdown → | 2015 | 393 |
| 7 | 2014 | 41 | |
| 8 | Commentary: The Materials Project: A materials genome approach to accelerating materials innovationbreakdown → | 2013 | 9163 |
| 9 | 2012 | 14 | |
| 10 | 2011 | 24 | |
| 11 | 2009 | 41 | |
| 12 | Essential Grid Workflow Monitoring Elements | 2005 | 6 |
| 13 | Scalable Analysis of Distributed Workflow Traces | 2005 | 3 |
| 14 | 2004 | 1 | |
| 15 | 2003 | 36 | |
| 16 | 2002 | 5 | |
| 17 | Applied techniques for high bandwidth data transfers across wide area networks | 2001 | 55 |
| 18 | An XML-based protocol for distributed event services | 2001 | 2 |
| 19 | 2000 | 70 | |
| 20 | 2000 | 34 |
About Dan Gunter
Dan Gunter is a scholar working on Information Systems and Management, Computer Networks and Communications, Hardware and Architecture, Information Systems and Computer Graphics and Computer-Aided Design, having authored 68 papers that have together received 14.4k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (35 papers), Scientific Computing and Data Management (26 papers), Advanced Data Storage Technologies (15 papers), Cloud Computing and Resource Management (13 papers), Software System Performance and Reliability (8 papers), Parallel Computing and Optimization Techniques (6 papers), Machine Learning in Materials Science (5 papers) and Software-Defined Networks and 5G (4 papers). The work is most often cited by research in Materials Chemistry (9.8k citations), Catalysis (853 citations), Inorganic Chemistry (1.3k citations), Renewable Energy, Sustainability and the Environment (1.4k citations) and Electrical and Electronic Engineering (5.0k citations). Dan Gunter has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Kristin A. Persson, Anubhav Jain, Shyue Ping Ong, Shreyas Cholia, Gerbrand Ceder, Geoffroy Hautier, William D. Richards, Wei Chen, David Skinner and Stephen Dacek. Their work appears in journals such as Computational Materials Science, Journal of the American Chemical Society, Applied Energy, The International Journal of High Performance Computing Applications and Journal of Water Process Engineering.
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.