David G. Dannenbring

1.1k citations
11 papers · 807 indexed · h-index 9
Topics
Assembly Line Balancing Optimization (6 papers)Advanced Manufacturing and Logistics Optimization (5 papers)Scheduling and Optimization Algorithms (3 papers)
Partner nations
United States

In The Last Decade

David G. Dannenbring

11 papers receiving 739 citations

Peers

David G. Dannenbring
Comparison fields: 5 of 65
  • Industrial and Manufacturing Engineering 662
  • Management Science and Operations Research 134
  • Computer Networks and Communications 72
  • Management Information Systems 53
  • Artificial Intelligence 41
Replace Fabrice Talla Nobibon with:
Fabrice Talla Nobibon Belgium
Mickey R. Wilhelm United States
Mohamed Ali Aloulou France
Elizabeth A. Haas United States
Robert T. Sumichrast United States
Chia‐Shin Chung United States
G. Feigin United States
Shengwei Ding United States
David B. Pratt United States
Michael H. Veatch United States
David G. Dannenbring relative to Fabrice Talla Nobibon Belgium Fabrice Talla Nobibon's profile →
Citations per field
00.5×3.3×
Fabrice Talla Nobibon · 1×
Citations per year

Countries citing papers authored by David G. Dannenbring

Since Specialization
Citations

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

Fields of papers citing papers by David G. Dannenbring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Dannenbring

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 86
2 69
3
Management science : an introduction
8
4 69
5 54
6 15
7 371
8 50
9 69
10 6
11 10

About David G. Dannenbring

David G. Dannenbring is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 11 papers that have together received 807 indexed citations. Recurring topics across this work include Assembly Line Balancing Optimization (6 papers), Advanced Manufacturing and Logistics Optimization (5 papers) and Scheduling and Optimization Algorithms (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (662 citations), Management Science and Operations Research (134 citations) and Management Information Systems (53 citations). David G. Dannenbring has collaborated with scholars based in United States. Frequent co-authors include Basheer M. Khumawala, Peter A. Pinto, Everette S. Gardner, Martin K. Starr and Alan W. Neebe. Their work appears in journals such as Management Science, International Journal of Production Research and Decision Sciences.

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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