R. Schiferl

32 total papers · 1.3k total citations
23 papers, 1.1k citations indexed

About

R. Schiferl is a scholar working on Electrical and Electronic Engineering, Condensed Matter Physics and Biomedical Engineering. According to data from OpenAlex, R. Schiferl has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 7 papers in Condensed Matter Physics and 7 papers in Biomedical Engineering. Recurrent topics in R. Schiferl's work include Electric Motor Design and Analysis (15 papers), Superconducting Materials and Applications (7 papers) and Physics of Superconductivity and Magnetism (7 papers). R. Schiferl is often cited by papers focused on Electric Motor Design and Analysis (15 papers), Superconducting Materials and Applications (7 papers) and Physics of Superconductivity and Magnetism (7 papers). R. Schiferl collaborates with scholars based in United States and United Kingdom. R. Schiferl's co-authors include T.Α. Lipo, M.J. Melfi, C. M. Ong, T.A. Nondahl, Jianshe Wang, Eduard Muljadi, S.D. Umans, Howard E. Jordan, S.T. Evon and S. Williamson and has published in prestigious journals such as IEEE Transactions on Industry Applications, IEEE Transactions on Energy Conversion and IEEE Transactions on Applied Superconductivity.

In The Last Decade

R. Schiferl

22 papers receiving 980 citations

Author Peers

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

Author Last Decade Papers Cites
R. Schiferl 969 484 218 106 65 23 1.1k
Matthew C. Gardner 1.0k 1.1× 648 1.3× 289 1.3× 218 2.1× 31 0.5× 58 1.1k
S. Asghar Gholamian 1.1k 1.1× 472 1.0× 137 0.6× 88 0.8× 124 1.9× 72 1.2k
Manoj R. Shah 877 0.9× 662 1.4× 412 1.9× 310 2.9× 41 0.6× 52 1.0k
V.S. Ramsden 806 0.8× 313 0.6× 476 2.2× 266 2.5× 14 0.2× 37 952
S.D. Umans 900 0.9× 638 1.3× 380 1.7× 262 2.5× 85 1.3× 44 1.1k
Bernhard Piepenbreier 1.1k 1.1× 554 1.1× 141 0.6× 85 0.8× 45 0.7× 76 1.1k
Fuhua Li 538 0.6× 449 0.9× 145 0.7× 202 1.9× 19 0.3× 47 797
Arash Hassanpour Isfahani 911 0.9× 558 1.2× 386 1.8× 210 2.0× 10 0.2× 33 983
Haran Karmaker 630 0.7× 289 0.6× 248 1.1× 143 1.3× 287 4.4× 36 859
B. Ackermann 857 0.9× 634 1.3× 462 2.1× 138 1.3× 37 0.6× 13 906

Countries citing papers authored by R. Schiferl

Since Specialization
Citations

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

Fields of papers citing papers by R. Schiferl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Schiferl

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