D. Python
- Electrical and Electronic Engineering
- Biomedical Engineering
- Cellular and Molecular Neuroscience
- Computational Mechanics
- Computer Networks and Communications
- Co-authors
- Christian EnzC.C. EnzA.-S. PorretT. MellyM. PunzenbergerEric A. VittozFan Yang
- Topics
- Analog and Mixed-Signal Circuit Design (15 papers)Advancements in PLL and VCO Technologies (7 papers)Advancements in Semiconductor Devices and Circuit Design (5 papers)
- Cited by
- Biomedical EngineeringElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Journals
- IEEE Journal of Solid-State CircuitsElectronics LettersIEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing
- Partner nations
- SwitzerlandUnited States
In The Last Decade
D. Python
16 papers receiving 249 citations
Peers
Comparison fields: 5 of 24
- Electrical and Electronic Engineering 248
- Biomedical Engineering 219
- Cellular and Molecular Neuroscience 34
- Computational Mechanics 22
- Computer Networks and Communications 20
Countries citing papers authored by D. Python
This map shows the geographic impact of D. Python'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 D. Python with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Python more than expected).
Fields of papers citing papers by D. Python
This network shows the impact of papers produced by D. Python. 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 D. Python. The network helps show where D. Python may publish in the future.
Co-authorship network of co-authors of D. Python
This figure shows the co-authorship network connecting the top 25 collaborators of D. Python. A scholar is included among the top collaborators of D. Python 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 D. Python. D. Python is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 95 | |
| 11 | 65 | |
| 12 | A micropower class AB CMOS log-domain filter for DECT applications | 5 |
| 13 | A 40µw, 75dB dynamic range, 70kHz bandwidth biquad filter based on complementary MOS transconductors | 6 |
| 14 | 42 | |
| 15 | A Highly Linear CMOS Transconductor Based on a Current Conveyor | 3 |
| 16 | 23 |
About D. Python
D. Python is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 281 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (15 papers), Advancements in PLL and VCO Technologies (7 papers) and Advancements in Semiconductor Devices and Circuit Design (5 papers). The work is most often cited by research in Biomedical Engineering (219 citations), Electrical and Electronic Engineering (248 citations) and Cellular and Molecular Neuroscience (34 citations). D. Python has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Christian Enz, C.C. Enz, A.-S. Porret, T. Melly, M. Punzenberger, Eric A. Vittoz and Fan Yang. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Electronics Letters and IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing.
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.