James V. Lambers

69 total papers · 509 total citations
47 papers, 354 citations indexed

About

James V. Lambers is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, James V. Lambers has authored 47 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 21 papers in Computational Mechanics and 16 papers in Electrical and Electronic Engineering. Recurrent topics in James V. Lambers's work include Electromagnetic Simulation and Numerical Methods (16 papers), Advanced Numerical Methods in Computational Mathematics (16 papers) and Advanced Mathematical Modeling in Engineering (14 papers). James V. Lambers is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (16 papers), Advanced Numerical Methods in Computational Mathematics (16 papers) and Advanced Mathematical Modeling in Engineering (14 papers). James V. Lambers collaborates with scholars based in United States, Italy and Netherlands. James V. Lambers's co-authors include Margot Gerritsen, Patrick Guidotti, Bradley Mallison, P.M. Jordan, Yunho Kim, Gene H. Golub, Louis J. Durlofsky, Kristian Jessen, Knut Sølna and Ting Chen and has published in prestigious journals such as Journal of Computational Physics, Biophysical Journal and Computers & Mathematics with Applications.

In The Last Decade

James V. Lambers

44 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
James V. Lambers 164 141 90 80 54 47 354
Alexey Chernov 128 0.8× 91 0.6× 54 0.6× 31 0.4× 10 0.2× 40 318
Michael Peters 88 0.5× 89 0.6× 56 0.6× 42 0.5× 13 0.2× 19 319
Félix Kwok 102 0.6× 186 1.3× 73 0.8× 45 0.6× 5 0.1× 19 339
K. Sikorski 150 0.9× 54 0.4× 151 1.7× 28 0.3× 21 0.4× 32 362
Markus Bachmayr 90 0.5× 98 0.7× 36 0.4× 25 0.3× 24 0.4× 23 355
Yiannis G. Saridakis 126 0.8× 52 0.4× 111 1.2× 27 0.3× 7 0.1× 37 318
Gisbert Stoyan 93 0.6× 214 1.5× 86 1.0× 31 0.4× 23 0.4× 24 396
Jakob Zech 66 0.4× 94 0.7× 55 0.6× 29 0.4× 18 0.3× 20 293
Patricia K. Lamm 73 0.4× 93 0.7× 53 0.6× 14 0.2× 43 0.8× 28 378
Paola Favati 238 1.5× 46 0.3× 90 1.0× 23 0.3× 30 0.6× 50 375

Countries citing papers authored by James V. Lambers

Since Specialization
Citations

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

Fields of papers citing papers by James V. Lambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James V. Lambers. 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 James V. Lambers. The network helps show where James V. Lambers may publish in the future.

Co-authorship network of co-authors of James V. Lambers

This figure shows the co-authorship network connecting the top 25 collaborators of James V. Lambers. A scholar is included among the top collaborators of James V. Lambers 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 James V. Lambers. James V. Lambers 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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