John D. Rogers
- Cell Biology top 10%
- Plant Science
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Margaret E. BarrLance FortnowAshish V. NaikStephen FennerAlan L. SelmanJames S. RoyerYong SunBin Liu
- Topics
- Computability, Logic, AI Algorithms (7 papers)Nuclear Physics and Applications (5 papers)Complexity and Algorithms in Graphs (5 papers)
- Cited by
- Cell BiologyPlant ScienceRadiation
- Journals
- MycologiaNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentMeasurement Science and Technology
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
John D. Rogers
22 papers receiving 275 citations
Peers
Comparison fields: 5 of 47
- Cell Biology 183
- Plant Science 160
- Molecular Biology 67
- Ecology, Evolution, Behavior and Systematics 66
- Computational Theory and Mathematics 47
Countries citing papers authored by John D. Rogers
This map shows the geographic impact of John D. Rogers'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 D. Rogers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Rogers more than expected).
Fields of papers citing papers by John D. Rogers
This network shows the impact of papers produced by John D. Rogers. 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 D. Rogers. The network helps show where John D. Rogers may publish in the future.
Co-authorship network of co-authors of John D. Rogers
This figure shows the co-authorship network connecting the top 25 collaborators of John D. Rogers. A scholar is included among the top collaborators of John D. Rogers 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 John D. Rogers. John D. Rogers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | Inverting Onto Functions and Polynomial Hierarchy | 1 |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 7 | |
| 18 | Isomorphisms, separability, and one-way functions | 1 |
| 19 | 5 | |
| 20 | 198 |
About John D. Rogers
John D. Rogers is a scholar working on Radiation, Computational Theory and Mathematics and Artificial Intelligence, having authored 25 papers that have together received 296 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (7 papers), Nuclear Physics and Applications (5 papers) and Complexity and Algorithms in Graphs (5 papers). The work is most often cited by research in Cell Biology (183 citations), Plant Science (160 citations) and Radiation (37 citations). John D. Rogers has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Margaret E. Barr, Lance Fortnow, Ashish V. Naik, Stephen Fenner, Alan L. Selman, James S. Royer, Yong Sun, Bin Liu, T.D. Beynon and D. A. Allen. Their work appears in journals such as Mycologia, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Measurement Science and Technology.
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.