D. Python

6 papers and 157 indexed citations i.

About

D. Python is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, D. Python has authored 6 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 6 papers in Biomedical Engineering and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in D. Python’s work include Analog and Mixed-Signal Circuit Design (6 papers), Advanced MEMS and NEMS Technologies (3 papers) and Mechanical and Optical Resonators (2 papers). D. Python is often cited by papers focused on Analog and Mixed-Signal Circuit Design (6 papers), Advanced MEMS and NEMS Technologies (3 papers) and Mechanical and Optical Resonators (2 papers). D. Python collaborates with scholars based in Switzerland and United States. D. Python's co-authors include Christian Enz, C.C. Enz, A.-S. Porret, M. Punzenberger, T. Melly and Eric A. Vittoz and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Electronics Letters and IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing.

In The Last Decade

Co-authorship network of co-authors of D. Python i

Fields of papers citing papers by D. Python

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by D. Python

Since Specialization
Citations

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).

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.

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2025