David E. Hardt

1.3k citations
70 papers · 1.1k · h-index 16

Impact in

Papers in

David E. Hardt

65 papers receiving 1.0k citations

Peers

David E. Hardt
Comparison fields: 5 of 76
  • Mechanical Engineering 532
  • Control and Systems Engineering 324
  • Mechanics of Materials 273
  • Biomedical Engineering 417
  • Computational Mechanics 164
Replace Chih-Chun Cheng with:
Chih-Chun Cheng Taiwan
L. Mangialardi Italy
Yasuhiro Kakinuma Japan
Fook Fah Yap Singapore
Hon-Yuen Tam Hong Kong
Zhiwei Zhu China
Atsushi Kawamoto Japan
Christian Schumacher Switzerland
Kuanmin Mao China
Ji Zhao China
David E. Hardt relative to Chih-Chun Cheng Taiwan Chih-Chun Cheng's profile →
Citations per field
00.5×1.5×1.9×
Chih-Chun Cheng · 1×
Citations per year

Countries citing papers authored by David E. Hardt

Since Specialization
Citations

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

Fields of papers citing papers by David E. Hardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David E. Hardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David E. Hardt Line = papers co-authored together David E. Hardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993112
2 1984105
3 1998100
4 201589
5 200953
6 199141
7 198239
8 199437
9 198034
10 201132
11 199329
12 199128
13 200726
14 201221
15 199319
16 198019
17 201015
18 201315
19 199314
20 200814

About David E. Hardt

David E. Hardt is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Biomedical Engineering, Computational Mechanics and Mechanics of Materials, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nanofabrication and Lithography Techniques (23 papers), Advanced Surface Polishing Techniques (16 papers), Metal Forming Simulation Techniques (14 papers), Metallurgy and Material Forming (13 papers), Manufacturing Process and Optimization (12 papers), Laser and Thermal Forming Techniques (10 papers), Advanced machining processes and optimization (8 papers) and Injection Molding Process and Properties (6 papers). The work is most often cited by research in Mechanical Engineering (532 citations), Control and Systems Engineering (324 citations), Mechanics of Materials (273 citations), Biomedical Engineering (417 citations) and Computational Mechanics (164 citations). David E. Hardt has collaborated with scholars based in United States, Singapore and Saudi Arabia. Frequent co-authors include André Sharon, Neville Hogan, Daniel Walczyk, Shu Beng Tor, Jae‐Bok Song, Erjia Liu, Biswajit Saha, Robert W. Mann, Junghoon Lee and Wei Quan Toh. Their work appears in journals such as Journal of Micromechanics and Microengineering, Journal of Dynamic Systems Measurement and Control, CIRP Annals, International Journal of Machine Tools and Manufacture and IEEE Transactions on Automatic Control.

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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