David J. Unger

91 total papers · 482 total citations
46 papers, 337 citations indexed

About

David J. Unger is a scholar working on Mechanics of Materials, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, David J. Unger has authored 46 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Mechanics of Materials, 14 papers in Materials Chemistry and 13 papers in Mechanical Engineering. Recurrent topics in David J. Unger's work include Fatigue and fracture mechanics (25 papers), Numerical methods in engineering (22 papers) and Metal Forming Simulation Techniques (11 papers). David J. Unger is often cited by papers focused on Fatigue and fracture mechanics (25 papers), Numerical methods in engineering (22 papers) and Metal Forming Simulation Techniques (11 papers). David J. Unger collaborates with scholars based in United States, Sweden and Austria. David J. Unger's co-authors include Elias C. Aifantis, W. W. Gerberich, W. W. Gerberich, Christian Unge, David C. Yu, Åsa Parke, Markus Schermer, Volkan Özenci, Stefan Zerbe and Kristoffer Strålin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Mechanics and Engineering Fracture Mechanics.

In The Last Decade

David J. Unger

39 papers receiving 320 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 J. Unger 237 155 71 52 32 46 337
Gang Liu 78 0.3× 85 0.5× 124 1.7× 18 0.3× 51 1.6× 44 333
Iñaki Garmendia 89 0.4× 64 0.4× 131 1.8× 6 0.1× 17 0.5× 40 317
Yulia Pronina 202 0.9× 221 1.4× 115 1.6× 52 1.0× 47 1.5× 49 352
G. Lianis 153 0.6× 46 0.3× 87 1.2× 5 0.1× 37 1.2× 40 302
Jae Boong Choi 132 0.6× 142 0.9× 202 2.8× 76 1.5× 65 2.0× 49 356
Yong Huang 99 0.4× 32 0.2× 251 3.5× 40 0.8× 5 0.2× 28 332
Б. Д. Аннин 138 0.6× 152 1.0× 93 1.3× 7 0.1× 28 0.9× 48 320
С. Н. Гаврилов 170 0.7× 74 0.5× 83 1.2× 3 0.1× 75 2.3× 51 368
Takashi Koizumi 211 0.9× 42 0.3× 102 1.4× 4 0.1× 56 1.8× 57 304
Wei Peng 221 0.9× 212 1.4× 153 2.2× 30 0.6× 13 0.4× 49 403

Countries citing papers authored by David J. Unger

Since Specialization
Citations

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

Fields of papers citing papers by David J. Unger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Unger

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