John R. Hoffman
Impact in
- Artificial Intelligence top 10%
- Target Tracking and Data Fusion in Sensor Networks
-
- Membrane Separation Technologies
Papers in
-
- Membrane-based Ion Separation Techniques 5
- Nanopore and Nanochannel Transport Studies 2
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- Target Tracking and Data Fusion in Sensor Networks 4
- Co-authors
- Ronald Mahler (8 shared papers)William A. Phillip (7 shared papers)Avery E. Baumann (3 shared papers)Christopher M. Stafford (4 shared papers)Brian R. Page (1 shared paper)Nina Mahmoudian (1 shared paper)Feng Gao (2 shared papers)Tim Zajic (2 shared papers)
- Journals
- ACS Applied Materials & Interfaces (3 papers)Chemical Engineering Journal (2 papers)ACS Applied Polymer Materials (1 paper)Chemistry of Materials (1 paper)Molecular Systems Design & Engineering (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
John R. Hoffman
23 papers receiving 318 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 154
- Water Science and Technology 65
- Computer Networks and Communications 72
- Signal Processing 31
- Oceanography 29
Countries citing papers authored by John R. Hoffman
This map shows the geographic impact of John R. Hoffman'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 R. Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Hoffman more than expected).
Fields of papers citing papers by John R. Hoffman
This network shows the impact of papers produced by John R. Hoffman. 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 R. Hoffman. The network helps show where John R. Hoffman may publish in the future.
Co-authors
The 25 scholars most cited alongside John R. Hoffman, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 147 | |
| 2 | 2019 | 28 | |
| 3 | 2024 | 24 | |
| 4 | 2020 | 23 | |
| 5 | 2020 | 22 | |
| 6 | 2003 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2020 | 10 | |
| 9 | 2025 | 6 | |
| 10 | 2001 | 6 | |
| 11 | 2001 | 6 | |
| 12 | 2003 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2010 | 3 | |
| 15 | 2005 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2002 | 2 | |
| 20 | 2024 | 1 |
About John R. Hoffman
John R. Hoffman is a scholar working on Biomedical Engineering, Artificial Intelligence, Water Science and Technology, Computer Networks and Communications and Mechanical Engineering, having authored 24 papers that have together received 334 indexed citations. Recurring topics across this work include Membrane Separation Technologies (7 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Membrane Separation and Gas Transport (5 papers), Membrane-based Ion Separation Techniques (5 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Carbon Dioxide Capture Technologies (3 papers), Nanopore and Nanochannel Transport Studies (2 papers) and Fuel Cells and Related Materials (2 papers). The work is most often cited by research in Artificial Intelligence (154 citations), Water Science and Technology (65 citations), Computer Networks and Communications (72 citations), Signal Processing (31 citations) and Oceanography (29 citations). John R. Hoffman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ronald Mahler, William A. Phillip, Avery E. Baumann, Christopher M. Stafford, Brian R. Page, Nina Mahmoudian, Feng Gao, Tim Zajic, Peng Gao and Raman K. Mehra. Their work appears in journals such as ACS Applied Materials & Interfaces, Chemical Engineering Journal, ACS Applied Polymer Materials, Chemistry of Materials and Molecular Systems Design & 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.