Curt Tilmes
Impact in
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- Scientific Computing and Data Management
- Geology top 10%
- Environmental Monitoring and Data Management
Papers in
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- Scientific Computing and Data Management 13
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- Research Data Management Practices 15
- Co-authors
- A. J. Fleig (3 shared papers)Jun Zhao (1 shared paper)Graham Klyne (1 shared paper)Satya Sanket Sahoo (1 shared paper)Yolanda Gil (1 shared paper)James Cheney (1 shared paper)Jamie Patricia McCusker (1 shared paper)Timothy Lebo (1 shared paper)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (3 papers)Climatic Change (1 paper)Environmental Modelling & Software (1 paper)Data Science Journal (1 paper)Nature Climate Change (1 paper)
- Partner nations
- United States
In The Last Decade
Curt Tilmes
30 papers receiving 450 citations
Peers
Comparison fields: 5 of 55
- Information Systems and Management 175
- Geology 49
- Information Systems 175
- Geography, Planning and Development 34
- 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PROV-DM: The PROV Data Model | 2013 | 184 |
| 2 | 2011 | 45 | |
| 3 | 2014 | 32 | |
| 4 | 2014 | 31 | |
| 5 | 2013 | 27 | |
| 6 | 2008 | 22 | |
| 7 | 2010 | 22 | |
| 8 | 2002 | 14 | |
| 9 | 2018 | 14 | |
| 10 | PROV-XML: The PROV XML Schema | 2013 | 12 |
| 11 | 2004 | 9 | |
| 12 | 2002 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2010 | 7 | |
| 15 | 2009 | 5 | |
| 16 | 2016 | 4 | |
| 17 | 2007 | 3 | |
| 18 | Provenance Tracking in Climate Science Data Processing Systems | 2008 | 3 |
| 19 | 2010 | 3 | |
| 20 | 2015 | 3 |
About Curt Tilmes
Curt Tilmes is a scholar working on Information Systems and Management, Information Systems, Geology, Global and Planetary Change and Artificial Intelligence, having authored 30 papers that have together received 471 indexed citations. Recurring topics across this work include Research Data Management Practices (15 papers), Scientific Computing and Data Management (13 papers), Environmental Monitoring and Data Management (7 papers), Atmospheric aerosols and clouds (7 papers), Semantic Web and Ontologies (7 papers), Calibration and Measurement Techniques (4 papers), Distributed and Parallel Computing Systems (2 papers) and Climate Change Communication and Perception (2 papers). The work is most often cited by research in Information Systems and Management (175 citations), Geology (49 citations), Information Systems (175 citations), Geography, Planning and Development (34 citations) and Artificial Intelligence (132 citations). Curt Tilmes has collaborated with scholars based in United States. Frequent co-authors include A. J. Fleig, Jun Zhao, Graham Klyne, Satya Sanket Sahoo, Yolanda Gil, James Cheney, Jamie Patricia McCusker, Timothy Lebo, Simon Miles and James D. Myers. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Climatic Change, Environmental Modelling & Software, Data Science Journal and Nature Climate Change.
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.