Chris A. Mattmann
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- Scientific Computing and Data Management 21
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations 5
- Global and Planetary Change top 5%
- Software top 5%
- Information Systems top 2%
- Service-Oriented Architecture and Web Services 9
- Software Engineering Research 7
- Cloud Computing and Resource Management 6
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- Distributed and Parallel Computing Systems 18
- Software System Performance and Reliability 13
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- Advanced Software Engineering Methodologies 11
- Co-authors
- Nenad MedvidovićJoshua GarciaDaniel CrichtonDuane E. WaliserIvo KrkaJinwon KimAndrew F. HartDaniel Popescu
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Chris A. Mattmann
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Information Systems and Management 148
- Atmospheric Science 336
- Global and Planetary Change 373
- Software 65
- Information Systems 331
Countries citing papers authored by Chris A. Mattmann
This map shows the geographic impact of Chris A. Mattmann'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 Chris A. Mattmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris A. Mattmann more than expected).
Fields of papers citing papers by Chris A. Mattmann
This network shows the impact of papers produced by Chris A. Mattmann. 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 Chris A. Mattmann. The network helps show where Chris A. Mattmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris A. Mattmann, 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 | 2022 | 78 | |
| 2 | 2020 | 71 | |
| 3 | 2020 | 13 | |
| 4 | 2020 | 5 | |
| 5 | Make Planetary Images Searchable: Content-Based Search for PDS and On-Board Datasets | 2019 | 1 |
| 6 | 2016 | 13 | |
| 7 | Search of the Deep and Dark Web via DARPA Memex | 2015 | 3 |
| 8 | Evaluation of Big Data Containers for Popular Storage, Retrieval, and Computation Primitives in Earth Science Analysis | 2015 | 1 |
| 9 | 2015 | 0 | |
| 10 | 2015 | 27 | |
| 11 | 2014 | 5 | |
| 12 | 2013 | 2 | |
| 13 | 2013 | 33 | |
| 14 | 2013 | 50 | |
| 15 | 2013 | 86 | |
| 16 | 2010 | 2 | |
| 17 | A Framework to Manage Information Models -- The Planetary Data System Case Study | 2009 | 1 |
| 18 | 2007 | 8 | |
| 19 | 2007 | 1 | |
| 20 | Adding Meta-Architectural Understanding to Resource Aware Software Architectures Requiring Device Synchronization. | 2003 | 1 |
About Chris A. Mattmann
Chris A. Mattmann is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (21 papers), Distributed and Parallel Computing Systems (18 papers), Software System Performance and Reliability (13 papers), Advanced Software Engineering Methodologies (11 papers), Service-Oriented Architecture and Web Services (9 papers), Software Engineering Research (7 papers), Cloud Computing and Resource Management (6 papers) and Meteorological Phenomena and Simulations (5 papers). The work is most often cited by research in Information Systems and Management (148 citations), Atmospheric Science (336 citations) and Global and Planetary Change (373 citations). Chris A. Mattmann has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Nenad Medvidović, Joshua Garcia, Daniel Crichton, Duane E. Waliser, Ivo Krka, Jinwon Kim, Andrew F. Hart, Daniel Popescu, Tanvir Islam and Brian Wilson. Their work appears in journals such as Nature, Nature Communications and PLoS ONE.
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.