John Fonner
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
-
- Scientific Computing and Data Management
Papers in
-
- Scientific Computing and Data Management 10
-
- Distributed and Parallel Computing Systems 7
- Advanced Data Storage Technologies 3
- Co-authors
- Christine E. Schmidt (2 shared papers)Leandro Forciniti (1 shared paper)Yann‐Fuu Kou (1 shared paper)James D. Byrne (1 shared paper)Hieu Nguyen (1 shared paper)Pengyu Ren (1 shared paper)Stanley J. Watowich (2 shared papers)Rion Dooley (3 shared papers)
- Journals
- Polymer (1 paper)Journal of the American Medical Informatics Association (1 paper)Journal of Chemical Information and Modeling (1 paper)Frontiers in Immunology (1 paper)Biomedical Materials (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
John Fonner
17 papers receiving 386 citations
Peers
Comparison fields: 5 of 92
- Polymers and Plastics 120
- Information Systems and Management 42
- Bioengineering 32
- Cellular and Molecular Neuroscience 52
- Biomaterials 37
Countries citing papers authored by John Fonner
This map shows the geographic impact of John Fonner'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 John Fonner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Fonner more than expected).
Fields of papers citing papers by John Fonner
This network shows the impact of papers produced by John Fonner. 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 John Fonner. The network helps show where John Fonner may publish in the future.
Co-authors
The 25 scholars most cited alongside John Fonner, 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 | 2008 | 168 | |
| 2 | 2018 | 52 | |
| 3 | 2014 | 47 | |
| 4 | 2010 | 36 | |
| 5 | 2018 | 22 | |
| 6 | 2017 | 13 | |
| 7 | 2014 | 12 | |
| 8 | 2013 | 11 | |
| 9 | 2020 | 7 | |
| 10 | 2017 | 5 | |
| 11 | 2018 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2015 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 |
About John Fonner
John Fonner is a scholar working on Information Systems and Management, Computer Networks and Communications, Information Systems, Molecular Biology and Computational Theory and Mathematics, having authored 19 papers that have together received 399 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (10 papers), Distributed and Parallel Computing Systems (7 papers), Research Data Management Practices (4 papers), Cloud Computing and Resource Management (3 papers), Advanced Data Storage Technologies (3 papers), Conducting polymers and applications (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Polymers and Plastics (120 citations), Information Systems and Management (42 citations), Bioengineering (32 citations), Cellular and Molecular Neuroscience (52 citations) and Biomaterials (37 citations). John Fonner has collaborated with scholars based in United States and Australia. Frequent co-authors include Christine E. Schmidt, Leandro Forciniti, Yann‐Fuu Kou, James D. Byrne, Hieu Nguyen, Pengyu Ren, Stanley J. Watowich, Rion Dooley, Suzanne M. Tomlinson and Steven R. Brandt. Their work appears in journals such as Polymer, Journal of the American Medical Informatics Association, Journal of Chemical Information and Modeling, Frontiers in Immunology and Biomedical Materials.
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.