Stefan Wiefels

47 total papers · 871 total citations
28 papers, 394 citations indexed

About

Stefan Wiefels is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Stefan Wiefels has authored 28 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Materials Chemistry. Recurrent topics in Stefan Wiefels's work include Advanced Memory and Neural Computing (25 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Neuroscience and Neural Engineering (9 papers). Stefan Wiefels is often cited by papers focused on Advanced Memory and Neural Computing (25 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Neuroscience and Neural Engineering (9 papers). Stefan Wiefels collaborates with scholars based in Germany, United States and Netherlands. Stefan Wiefels's co-authors include Rainer Waser, Ilia Valov, Stephan Menzel, Deok‐Yong Cho, Kug‐Seung Lee, Michael Lübben, Michael Luebben, Christopher Bengel, Dirk J. Wouters and U. Böttger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Stefan Wiefels

24 papers receiving 389 citations

Author Peers

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

Author Last Decade Papers Cites
Stefan Wiefels 370 141 81 66 41 28 394
Yang Lu 376 1.0× 98 0.7× 66 0.8× 83 1.3× 18 0.4× 28 444
Shane Hollmer 342 0.9× 105 0.7× 78 1.0× 70 1.1× 22 0.5× 10 357
Foroozan Koushan 355 1.0× 129 0.9× 77 1.0× 73 1.1× 35 0.9× 12 364
Yoocharn Jeon 333 0.9× 82 0.6× 71 0.9× 48 0.7× 47 1.1× 13 371
Rainer Waser 324 0.9× 155 1.1× 56 0.7× 27 0.4× 53 1.3× 26 335
С. В. Тихов 370 1.0× 191 1.4× 45 0.6× 47 0.7× 70 1.7× 36 427
J. F. Nodin 362 1.0× 62 0.4× 64 0.8× 93 1.4× 35 0.9× 28 374
Maria Trapatseli 367 1.0× 174 1.2× 86 1.1× 57 0.9× 52 1.3× 10 394
Óscar G. Ossorio 334 0.9× 120 0.9× 41 0.5× 49 0.7× 23 0.6× 23 336
Leilei Qiao 362 1.0× 86 0.6× 76 0.9× 170 2.6× 27 0.7× 23 420

Countries citing papers authored by Stefan Wiefels

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Wiefels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Wiefels. 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 Stefan Wiefels. The network helps show where Stefan Wiefels may publish in the future.

Co-authorship network of co-authors of Stefan Wiefels

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Wiefels. A scholar is included among the top collaborators of Stefan Wiefels 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 Stefan Wiefels. Stefan Wiefels 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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