Dan Trietsch

2.4k citations
49 papers · 1.5k · h-index 19

Impact in

Papers in

Dan Trietsch

47 papers receiving 1.4k citations

Peers

Dan Trietsch
Comparison fields: 5 of 109
  • Industrial and Manufacturing Engineering 771
  • Management Science and Operations Research 363
  • Management Information Systems 202
  • Statistics, Probability and Uncertainty 118
  • Medical Laboratory Technology 18
Replace Dharmaraj Veeramani with:
Dharmaraj Veeramani United States
Wojciech Michal Kempa Poland
Sebastian Stiller Germany
Anna Syberfeldt Sweden
Eckehard Schnieder Germany
Iveta Zolotová Slovakia
Chuan‐Jun Su Taiwan
Miquel Àngel Piera Spain
C Baron France
Paolo Salini Italy
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Citations per field
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Citations per year

Countries citing papers authored by Dan Trietsch

Since Specialization
Citations

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

Fields of papers citing papers by Dan Trietsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Dan Trietsch, 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 Dan Trietsch Line = papers co-authored together Dan Trietsch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009345
2 2021146
3 1993128
4 2018115
5 201181
6 201176
7 198856
8 198756
9
Principles of Sequencing and Scheduling. New York: John Wiley & Sons
200944
10 200743
11 199938
12 200534
13 198733
14 200432
15 199028
16 200826
17 201024
18 199821
19 200519
20 200718

About Dan Trietsch

Dan Trietsch is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research, Statistics, Probability and Uncertainty, Computer Networks and Communications and Management Information Systems, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (11 papers), Resource-Constrained Project Scheduling (8 papers), Advanced Statistical Process Monitoring (7 papers), Operations Management Techniques (7 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Optimization and Search Problems (6 papers), VLSI and FPGA Design Techniques (6 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (771 citations), Management Science and Operations Research (363 citations), Management Information Systems (202 citations), Statistics, Probability and Uncertainty (118 citations) and Medical Laboratory Technology (18 citations). Dan Trietsch has collaborated with scholars based in United States, New Zealand and Armenia. Frequent co-authors include Kenneth R. Baker, Diane P. Bischak, Frank K. Hwang, James D. Kretlow, Peter T. Lin, Alexander Alvarado, Maxsim L. Gibiansky, Adeeti V. Ullal, Irida Mance and Rob Powers. Their work appears in journals such as Networks, European Journal of Operational Research, Quality Engineering, Journal of Scheduling and Transportation Science.

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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