Dirk Biskup

2.2k citations
19 papers · 1.8k · 2 hit papers · h-index 14

Impact in

Papers in

Dirk Biskup

19 papers receiving 1.7k citations

Dirk Biskup's Hit Papers

A state-of-the-art review on scheduling with learning effects 2007 · 561 citations
5610+9+18Years since publication200400600

Peers

Dirk Biskup
Comparison fields: 5 of 47
  • Industrial and Manufacturing Engineering 1.7k
  • Computer Networks and Communications 792
  • Management Information Systems 174
  • Management Science and Operations Research 75
  • Artificial Intelligence 132
Replace Dar-Li Yang with:
Dar-Li Yang Taiwan
Tariq Aldowaisan Kuwait
L. N. Van Wassenhove Belgium
Uttarayan Bagchi United States
Robert L. Bulfin United States
Chou-Jung Hsu Taiwan
Han Hoogeveen Netherlands
Hans Ziegler Germany
Yih‐Long Chang United States
C. Roger Glassey United States
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Citations per field
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Dar-Li Yang · 1×
Citations per year

Countries citing papers authored by Dirk Biskup

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Biskup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Dirk Biskup, 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 Dirk Biskup Line = papers co-authored together Dirk Biskup links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Single-machine scheduling with learning considerations
Hit paper breakdown →
1999622
2
A state-of-the-art review on scheduling with learning effects
Hit paper breakdown →
2007561
3 200286
4 200183
5 200877
6 200159
7 200356
8 200740
9 200535
10 199935
11 200632
12 200326
13 200421
14 199918
15 20006
16 20065
17
On lot streaming with multiple products
20052
18
19991
19 19991

About Dirk Biskup

Dirk Biskup is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications, Management Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (15 papers), Optimization and Search Problems (9 papers), Assembly Line Balancing Optimization (8 papers), Supply Chain and Inventory Management (5 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Metaheuristic Optimization Algorithms Research (3 papers), Auction Theory and Applications (2 papers) and European Monetary and Fiscal Policies (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (1.7k citations), Computer Networks and Communications (792 citations), Management Information Systems (174 citations), Management Science and Operations Research (75 citations) and Artificial Intelligence (132 citations). Dirk Biskup has collaborated with scholars based in Germany, Hong Kong and United States. Frequent co-authors include Martin Feldmann, Dirk Simons, Hermann Jahnke, T.C.E. Cheng and Jatinder N.D. Gupta. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Economics, Computers & Operations Research, Engineering Optimization and International Journal of Production 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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