David J. Singer

56 papers receiving 440 citations

Peers

David J. Singer
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 113
  • Management of Technology and Innovation 110
  • Safety, Risk, Reliability and Quality 103
  • Control and Systems Engineering 94
  • Environmental Engineering 91
Replace Hakan Demirel with:
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Citations per field
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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-authorship network of co-authors of David J. Singer

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Singer. A scholar is included among the top collaborators of David J. Singer 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. Singer. David J. Singer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
State space scalability to enable smart ships with statistical physics and multi-agent-based reinforcement learning
0
2 4
3 1
4
A ship egress analysis method using spectral Markov decision processes
2
5 6
6
Set-based design : a concurrent engineering approach with particular application to complex marine products
4
7 2
8
IMDC State of the Art Report: Design for Layout
1
9 1
10 1
11 1
12 3
13 27
14 15
15 4
16
Capacity to meet demand
1
17 3
18
A hybrid agent approach for set-based conceptual ship design through the use of a fuzzy logic agent to facilitate communications and negotiation.
5
19
Estabilidad e inestabilidad en el sistema internacional del futuro
1
20
Quantitative Indicators in World Politics: Timely Assurance and Early Warning
5

About David J. Singer

David J. Singer is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Safety, Risk, Reliability and Quality, having authored 62 papers that have together received 473 indexed citations. Recurring topics across this work include Technology Assessment and Management (11 papers), Product Development and Customization (11 papers) and Manufacturing Process and Optimization (10 papers). The work is most often cited by research in Management of Technology and Innovation (110 citations), Industrial and Manufacturing Engineering (113 citations) and Safety, Risk, Reliability and Quality (103 citations). David J. Singer has collaborated with scholars based in United States, Netherlands and Greece. Frequent co-authors include Norbert Doerry, Matthew Collette, Mark P. Van Oyen, Austin A. Kana, Fang Dong, Michael G. Parsons, Nickolas Vlahopoulos, Jong-Ho Nam, Chris Dowd and M. A. Parsons. Their work appears in journals such as American Political Science Review, International Journal of Production Research and Computers & Operations Research.

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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