Jean-Pierre Walder

48 total papers · 5.7k total citations
19 papers, 88 citations indexed

About

Jean-Pierre Walder is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Jean-Pierre Walder has authored 19 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 8 papers in Biomedical Engineering and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Jean-Pierre Walder's work include CCD and CMOS Imaging Sensors (14 papers), Analog and Mixed-Signal Circuit Design (7 papers) and Particle Detector Development and Performance (6 papers). Jean-Pierre Walder is often cited by papers focused on CCD and CMOS Imaging Sensors (14 papers), Analog and Mixed-Signal Circuit Design (7 papers) and Particle Detector Development and Performance (6 papers). Jean-Pierre Walder collaborates with scholars based in United States and France. Jean-Pierre Walder's co-authors include H. von der Lippe, Bob Zheng, P. Denes, Armin Karcher, D. Doering, Stefan Kurz, Jens Steckert, Carl Grace, B. Krieger and John Joseph and has published in prestigious journals such as Nature Communications, IEEE Sensors Journal and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Jean-Pierre Walder

17 papers receiving 83 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jean-Pierre Walder 59 29 25 18 18 19 88
E. Martin 80 1.4× 37 1.3× 36 1.4× 15 0.8× 20 1.1× 21 116
Koei Yamamoto 60 1.0× 32 1.1× 15 0.6× 14 0.8× 29 1.6× 19 114
C. Cuevas 38 0.6× 33 1.1× 30 1.2× 13 0.7× 14 0.8× 16 104
Daniel Maier 22 0.4× 59 2.0× 33 1.3× 13 0.7× 23 1.3× 19 110
H. von der Lippe 66 1.1× 44 1.5× 67 2.7× 18 1.0× 23 1.3× 19 112
Lizhi Sheng 26 0.4× 36 1.2× 27 1.1× 4 0.2× 12 0.7× 25 76
A. Perazzo 29 0.5× 45 1.6× 47 1.9× 13 0.7× 5 0.3× 11 98
D. B. Shwartz 46 0.8× 37 1.3× 71 2.8× 10 0.6× 18 1.0× 22 98
A. Ceccucci 32 0.5× 30 1.0× 58 2.3× 10 0.6× 9 0.5× 26 82
P. Jansweijer 62 1.1× 72 2.5× 83 3.3× 16 0.9× 17 0.9× 19 127

Countries citing papers authored by Jean-Pierre Walder

Since Specialization
Citations

This map shows the geographic impact of Jean-Pierre Walder'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 Jean-Pierre Walder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Pierre Walder more than expected).

Fields of papers citing papers by Jean-Pierre Walder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Pierre Walder. 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 Jean-Pierre Walder. The network helps show where Jean-Pierre Walder may publish in the future.

Co-authorship network of co-authors of Jean-Pierre Walder

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Pierre Walder. A scholar is included among the top collaborators of Jean-Pierre Walder 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 Jean-Pierre Walder. Jean-Pierre Walder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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