John G. Kauffman
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Co-authors
- Maurits OrtmannsJoachim BeckerYiannos ManoliMatthias LehmannJohannes WagnerNan SunYoungcheol ChaeXiyuan Tang
- Topics
- Analog and Mixed-Signal Circuit Design (36 papers)CCD and CMOS Imaging Sensors (16 papers)Advancements in Semiconductor Devices and Circuit Design (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Journal of Solid-State CircuitsIEEE Transactions on Circuits and Systems I Regular Papers
In The Last Decade
John G. Kauffman
31 papers receiving 285 citations
Peers
Comparison fields: 5 of 20
- Biomedical Engineering 277
- Electrical and Electronic Engineering 265
- Computer Networks and Communications 31
- Cellular and Molecular Neuroscience 21
- Artificial Intelligence 12
Countries citing papers authored by John G. Kauffman
This map shows the geographic impact of John G. Kauffman'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 G. Kauffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John G. Kauffman more than expected).
Fields of papers citing papers by John G. Kauffman
This network shows the impact of papers produced by John G. Kauffman. 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 G. Kauffman. The network helps show where John G. Kauffman may publish in the future.
Co-authorship network of co-authors of John G. Kauffman
This figure shows the co-authorship network connecting the top 25 collaborators of John G. Kauffman. A scholar is included among the top collaborators of John G. Kauffman 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 G. Kauffman. John G. Kauffman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 0 | |
| 18 | 5 | |
| 19 | 52 | |
| 20 | A reconfigurable Continuous-Time Delta Sigma-ADC using a digitally programmable g(m)-C Array | 2 |
About John G. Kauffman
John G. Kauffman is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 38 papers that have together received 296 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (36 papers), CCD and CMOS Imaging Sensors (16 papers) and Advancements in Semiconductor Devices and Circuit Design (14 papers). The work is most often cited by research in Biomedical Engineering (277 citations), Electrical and Electronic Engineering (265 citations) and Hardware and Architecture (10 citations). John G. Kauffman has collaborated with scholars based in Germany, China and Austria. Frequent co-authors include Maurits Ortmanns, Joachim Becker, Yiannos Manoli, Matthias Lehmann, Johannes Wagner, Nan Sun, Youngcheol Chae, Xiyuan Tang, Matthias Lorenz and Qiang Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and IEEE Transactions on Circuits and Systems I Regular Papers.
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.