Daniel Frey

4.9k citations
78 papers · 3.0k indexed · 1 hit paper · h-index 19

Daniel Frey

73 papers receiving 2.7k citations

Hit Papers

Engineering Design Thinking, Teaching, and Learning1.9k200520262012201950010001.5k

Peers

Daniel Frey
Comparison fields: 5 of 160
  • Architecture 431
  • Media Technology 839
  • Management of Technology and Innovation 366
  • Mechanical Engineering 1.4k
  • Experimental and Cognitive Psychology 333
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Louis L. Bucciarelli United States
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Joshua D. Summers United States
Luciënne Blessing Singapore
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Citations per year

Countries citing papers authored by Daniel Frey

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Frey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel Frey, 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 Daniel Frey Line = papers co-authored together Daniel Frey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20232
3 20233
4 202213
5 20222
6 202116
7 202012
8 20193
9 20163
10 201516
11
Beyond R&D: what design adds to a modern research university
20129
12
Chantal Delsol, Qu’est-ce que l’homme ? Cours familier d’anthropologie, (La nuit surveillée), Paris, Cerf, 2008
20121
13 20124
14 20060
15 200679
16 20064
17 2003111
18 19997
19 19989
20
Learning the Ropes: My Life As a Product Champion.
199118

About Daniel Frey

Daniel Frey is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 78 papers that have together received 3.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (20 papers), Probabilistic and Robust Engineering Design (17 papers), Design Education and Practice (17 papers), Advanced Multi-Objective Optimization Algorithms (15 papers), Manufacturing Process and Optimization (10 papers), Product Development and Customization (8 papers), Advanced Memory and Neural Computing (6 papers) and Semiconductor materials and devices (6 papers). The work is most often cited by research in Architecture (431 citations), Media Technology (839 citations) and Management of Technology and Innovation (366 citations). Daniel Frey has collaborated with scholars based in United States, Singapore and Netherlands. Frequent co-authors include Clive L. Dym, Alice M. Agogino, Özgür Eriş, Larry Leifer, Rajesh Jugulum, E. M. Greitzer, Don Clausing, Xiang Li, Kevin Otto and Ype Wijnia. Their work appears in journals such as Research in Engineering Design, Journal of Mechanical Design, Microelectronics Reliability, Quality Engineering and Reliability Engineering & System Safety.

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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