David J. Singer

56 papers receiving 440 citations

Peers

David J. Singer
Comparison fields: 5 of 70
  • Management of Technology and Innovation 110
  • Industrial and Manufacturing Engineering 113
  • Safety, Risk, Reliability and Quality 103
  • Statistics, Probability and Uncertainty 57
  • Environmental Engineering 91
Replace Hakan Demirel with:
Hakan Demirel Türkiye
Jong Gye Shin South Korea
Volker Gollnick Germany
Orlando Durán Chile
Vijitashwa Pandey United States
David D. Walden United States
T. Ruxton United Kingdom
Arash Shahi Canada
Yichen Qin Hong Kong
Linhan Ouyang China
David J. Singer relative to Hakan Demirel Türkiye Hakan Demirel's profile →
Citations per field
00.5×6.6×
Hakan Demirel · 1×
Citations per year

Countries citing papers authored by David J. Singer

Since Specialization
Citations

This map shows the geographic impact of David J. Singer'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. Singer 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. Singer more than expected).

Fields of papers citing papers by David J. Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside David J. Singer, 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 J. Singer Line = papers co-authored together David J. Singer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009122
2 201127
3 201727
4 201422
5 201115
6 201314
7 201514
8 201614
9 201713
10 201713
11 201413
12 201312
13 198211
14 201311
15 201811
16 201410
17 20128
18 20067
19 20107
20 20137

About David J. Singer

David J. Singer is a scholar working on Industrial and Manufacturing Engineering, Ocean Engineering, Safety, Risk, Reliability and Quality, Management of Technology and Innovation and Mechanical Engineering, having authored 62 papers that have together received 473 indexed citations. Recurring topics across this work include Product Development and Customization (11 papers), Technology Assessment and Management (11 papers), Manufacturing Process and Optimization (10 papers), Maritime Transport Emissions and Efficiency (9 papers), Design Education and Practice (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Maritime Ports and Logistics (5 papers) and Ship Hydrodynamics and Maneuverability (5 papers). The work is most often cited by research in Management of Technology and Innovation (110 citations), Industrial and Manufacturing Engineering (113 citations), Safety, Risk, Reliability and Quality (103 citations), Statistics, Probability and Uncertainty (57 citations) and Environmental Engineering (91 citations). David J. Singer has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Norbert Doerry, Matthew Collette, Austin A. Kana, Mark P. Van Oyen, Michael G. Parsons, Fang Dong, Chris Dowd, Nickolas Vlahopoulos, Jong-Ho Nam and J. David Singer. Their work appears in journals such as Ocean Engineering, Modern Judaism - A Journal of Jewish Ideas and Experience, International Journal of Naval Architecture and Ocean Engineering, Journal of Complex Networks and American Political Science Review.

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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