G. van der Weide

30 total papers · 1.0k total citations
25 papers, 730 citations indexed

About

G. van der Weide is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, G. van der Weide has authored 25 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 15 papers in Biomedical Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in G. van der Weide's work include Radio Frequency Integrated Circuit Design (17 papers), Analog and Mixed-Signal Circuit Design (14 papers) and Advancements in PLL and VCO Technologies (12 papers). G. van der Weide is often cited by papers focused on Radio Frequency Integrated Circuit Design (17 papers), Analog and Mixed-Signal Circuit Design (14 papers) and Advancements in PLL and VCO Technologies (12 papers). G. van der Weide collaborates with scholars based in Netherlands, United States and Finland. G. van der Weide's co-authors include D.M.W. Leenaerts, J. Bergervoet, Kostas Doris, É. Janssen, Remco van de Beek, Claudio Nani, R. Roovers, Arthur van Roermund, Engel Roza and Sotir Ouzounov and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Integration and TU/e Research Portal.

In The Last Decade

G. van der Weide

25 papers receiving 675 citations

Author Peers

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

Author Last Decade Papers Cites
G. van der Weide 712 439 48 37 19 25 730
Chao-Cheng Lee 837 1.2× 422 1.0× 43 0.9× 28 0.8× 10 0.5× 48 857
D. Kelly 762 1.1× 706 1.6× 73 1.5× 23 0.6× 36 1.9× 12 782
Ming Ding 529 0.7× 353 0.8× 71 1.5× 17 0.5× 46 2.4× 32 631
M. Borremans 801 1.1× 415 0.9× 41 0.9× 15 0.4× 8 0.4× 32 817
Cui Zhou 651 0.9× 519 1.2× 56 1.2× 18 0.5× 49 2.6× 17 697
V. Peluso 573 0.8× 565 1.3× 47 1.0× 69 1.9× 43 2.3× 41 744
Shouhei Kousai 746 1.0× 174 0.4× 24 0.5× 14 0.4× 27 1.4× 37 776
Maja Vidojkovic 584 0.8× 345 0.8× 87 1.8× 22 0.6× 21 1.1× 27 682
Y. Papananos 732 1.0× 287 0.7× 25 0.5× 14 0.4× 27 1.4× 58 769
Brian Young 815 1.1× 442 1.0× 32 0.7× 50 1.4× 14 0.7× 43 883

Countries citing papers authored by G. van der Weide

Since Specialization
Citations

This map shows the geographic impact of G. van der Weide'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 G. van der Weide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. van der Weide more than expected).

Fields of papers citing papers by G. van der Weide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. van der Weide. 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 G. van der Weide. The network helps show where G. van der Weide may publish in the future.

Co-authorship network of co-authors of G. van der Weide

This figure shows the co-authorship network connecting the top 25 collaborators of G. van der Weide. A scholar is included among the top collaborators of G. van der Weide 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 G. van der Weide. G. van der Weide 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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