Curt Tilmes
Impact in
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- Scientific Computing and Data Management
- Information Systems top 5%
- Research Data Management Practices
Papers in
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- Scientific Computing and Data Management 18
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- Research Data Management Practices 15
- Co-authors
- Xiaogang Ma (3 shared papers)Peter Fox (4 shared papers)James Cheney (1 shared paper)Simon Miles (1 shared paper)Paul Groth (1 shared paper)James D. Myers (1 shared paper)A. J. Fleig (4 shared papers)Khalid Belhajjame (1 shared paper)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (3 papers)Climatic Change (1 paper)Computers & Geosciences (1 paper)Data Science Journal (1 paper)Environmental Modelling & Software (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Curt Tilmes
35 papers receiving 452 citations
Peers
Comparison fields: 5 of 59
- Information Systems and Management 326
- Information Systems 262
- Management Science and Operations Research 115
- Computer Networks and Communications 148
- Artificial Intelligence 132
Countries citing papers authored by Curt Tilmes
This map shows the geographic impact of Curt Tilmes'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 Curt Tilmes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curt Tilmes more than expected).
Fields of papers citing papers by Curt Tilmes
This network shows the impact of papers produced by Curt Tilmes. 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 Curt Tilmes. The network helps show where Curt Tilmes may publish in the future.
Co-authors
The 25 scholars most cited alongside Curt Tilmes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PROV-DM: The PROV Data Model | 2013 | 181 |
| 2 | 2011 | 45 | |
| 3 | 2014 | 35 | |
| 4 | 2014 | 32 | |
| 5 | 2013 | 30 | |
| 6 | 2010 | 22 | |
| 7 | 2008 | 19 | |
| 8 | 2018 | 15 | |
| 9 | 2002 | 14 | |
| 10 | PROV-XML: The PROV XML Schema | 2013 | 14 |
| 11 | 2004 | 9 | |
| 12 | 2015 | 8 | |
| 13 | 2002 | 8 | |
| 14 | 2010 | 6 | |
| 15 | 2009 | 5 | |
| 16 | Provenance Tracking in Climate Science Data Processing Systems | 2008 | 3 |
| 17 | 2010 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2007 | 3 | |
| 20 | A Community-Developed Measurement of the Reusability of Software Through Reuse Readiness Levels | 2007 | 2 |
About Curt Tilmes
Curt Tilmes is a scholar working on Information Systems and Management, Information Systems, Computer Networks and Communications, Global and Planetary Change and Artificial Intelligence, having authored 36 papers that have together received 479 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (18 papers), Research Data Management Practices (15 papers), Distributed and Parallel Computing Systems (10 papers), Atmospheric and Environmental Gas Dynamics (7 papers), Atmospheric Ozone and Climate (5 papers), Semantic Web and Ontologies (5 papers), Environmental Monitoring and Data Management (4 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Information Systems and Management (326 citations), Information Systems (262 citations), Management Science and Operations Research (115 citations), Computer Networks and Communications (148 citations) and Artificial Intelligence (132 citations). Curt Tilmes has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Xiaogang Ma, Peter Fox, James Cheney, Simon Miles, Paul Groth, James D. Myers, A. J. Fleig, Khalid Belhajjame, Jamie P. McCusker and Sam Coppens. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Climatic Change, Computers & Geosciences, Data Science Journal and Environmental Modelling & Software.
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.