J. S. Campbell
- Organic Chemistry
- Molecular Biology
- Control and Systems Engineering
- Artificial Intelligence
- Computational Theory and Mathematics
- Co-authors
- Howard M. SchwartzSidney GivigiRichard G. BallWenjie LiN. IkemotoDaniel R. SidlerMichel ChartrainEdward G. Corley
- Topics
- Reinforcement Learning in Robotics (3 papers)Adaptive Dynamic Programming Control (2 papers)Chemical Synthesis and Analysis (1 paper)
In The Last Decade
J. S. Campbell
5 papers receiving 34 citations
Peers
Comparison fields: 5 of 23
- Organic Chemistry 17
- Molecular Biology 9
- Control and Systems Engineering 8
- Artificial Intelligence 6
- Computational Theory and Mathematics 4
Countries citing papers authored by J. S. Campbell
This map shows the geographic impact of J. S. Campbell'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 J. S. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. S. Campbell more than expected).
Fields of papers citing papers by J. S. Campbell
This network shows the impact of papers produced by J. S. Campbell. 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 J. S. Campbell. The network helps show where J. S. Campbell may publish in the future.
Co-authorship network of co-authors of J. S. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of J. S. Campbell. A scholar is included among the top collaborators of J. S. Campbell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. S. Campbell. J. S. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 17 | |
| 5 | From Quasars to Benchmarks: VLBI Links Heaven and Earth | 1 |
About J. S. Campbell
J. S. Campbell is a scholar working on Instrumentation, Computational Theory and Mathematics and Artificial Intelligence, having authored 5 papers that have together received 34 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Adaptive Dynamic Programming Control (2 papers) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Organic Chemistry (17 citations), Control and Systems Engineering (8 citations) and Energy Engineering and Power Technology (1 citation). J. S. Campbell has collaborated with scholars based in Canada and Japan. Frequent co-authors include Howard M. Schwartz, Sidney Givigi, Richard G. Ball, Wenjie Li, N. Ikemoto, Daniel R. Sidler, Michel Chartrain, Edward G. Corley, Robert D. Larsen and Nancy S. Barta. Their work appears in journals such as Canadian Journal of Chemistry and Journal of Intelligent & Robotic Systems.
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.