David C. Gossard

41 total papers · 2.0k total citations
28 papers, 1.3k citations indexed

About

David C. Gossard is a scholar working on Computational Mechanics, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, David C. Gossard has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 9 papers in Industrial and Manufacturing Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in David C. Gossard's work include Advanced Numerical Analysis Techniques (9 papers), Manufacturing Process and Optimization (9 papers) and 3D Shape Modeling and Analysis (6 papers). David C. Gossard is often cited by papers focused on Advanced Numerical Analysis Techniques (9 papers), Manufacturing Process and Optimization (9 papers) and 3D Shape Modeling and Analysis (6 papers). David C. Gossard collaborates with scholars based in United States, United Kingdom and Japan. David C. Gossard's co-authors include Kenji Shimada, Kunwoo Lee, Wah Chiu, Junjie Zhang, Hiroshi Sakurai, Grigore Pintilie, Thomas D. Goddard, Minho Chang, Jonathan King and Cameron Haase‐Pettingell and has published in prestigious journals such as Journal of Molecular Biology, IEEE Transactions on Automatic Control and CIRP Annals.

In The Last Decade

David C. Gossard

27 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
David C. Gossard 481 370 278 249 216 28 1.3k
Xiuzi Ye 148 0.3× 428 1.2× 272 1.0× 92 0.4× 139 0.6× 105 1.4k
Wei Chen 111 0.2× 140 0.4× 33 0.1× 221 0.9× 791 3.7× 44 1.8k
Wenlong Lu 228 0.5× 142 0.4× 39 0.1× 10 0.0× 577 2.7× 82 1.3k
M. J. Pratt 661 1.4× 848 2.3× 419 1.5× 4 0.0× 381 1.8× 30 1.6k
Bailin Deng 116 0.2× 672 1.8× 431 1.6× 83 0.3× 240 1.1× 51 1.4k
Karl D. D. Willis 161 0.3× 192 0.5× 110 0.4× 10 0.0× 178 0.8× 33 1.2k
L.E. Weiss 141 0.3× 137 0.4× 64 0.2× 26 0.1× 219 1.0× 27 1.4k
Michael J. Wozny 242 0.5× 563 1.5× 489 1.8× 4 0.0× 114 0.5× 38 1.1k
Ashis G. Banerjee 206 0.4× 102 0.3× 43 0.2× 15 0.1× 117 0.5× 50 1.2k
Linjie Luo 138 0.3× 684 1.8× 550 2.0× 71 0.3× 60 0.3× 48 1.5k

Countries citing papers authored by David C. Gossard

Since Specialization
Citations

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

Fields of papers citing papers by David C. Gossard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Gossard. 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 David C. Gossard. The network helps show where David C. Gossard may publish in the future.

Co-authorship network of co-authors of David C. Gossard

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Gossard. A scholar is included among the top collaborators of David C. Gossard 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 David C. Gossard. David C. Gossard 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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