Karl G. Kempf

3.1k citations
96 papers · 1.9k indexed · h-index 25

Karl G. Kempf

90 papers receiving 1.8k citations

Peers

Karl G. Kempf
Comparison fields: 5 of 99
  • Industrial and Manufacturing Engineering 935
  • Management Information Systems 666
  • Management Science and Operations Research 431
  • Control and Systems Engineering 468
  • Strategy and Management 254
Replace Lars Mönch with:
Lars Mönch Germany
Aart van Harten Netherlands
Yeong‐Dae Kim South Korea
Hongfeng Wang China
Eric V. Denardo United States
Russell E. King United States
Don T. Phillips United States
Brian Rodrigues Singapore
İhsan Sabuncuoğlu Türkiye
R. Uthayakumar India
Karl G. Kempf relative to Lars Mönch Germany Lars Mönch's profile →
Citations per field
00.5×1.6×
Lars Mönch · 1×
Citations per year

Countries citing papers authored by Karl G. Kempf

Since Specialization
Citations

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

Fields of papers citing papers by Karl G. Kempf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Karl G. Kempf, 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 Karl G. Kempf Line = papers co-authored together Karl G. Kempf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20220
4 20162
5 20121
6 20079
7 20064
8 200611
9 200519
10 200413
11 200428
12 20037
13 199133
14
AI-based schedulers in manufacturing practice
199115
15
AI-Based Schedulers in Manufacturing Practice: Report of a Panel Discussion
199014
16
Changing the Nature of CAD/CAM Using Artificial Intelligence.
19871
17
Opportunistic scheduling for robotic machine tending
198520
18
Complexity, Uncertainty, and Opportunistic Scheduling.
198532
19 19843
20 198420

About Karl G. Kempf

Karl G. Kempf is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research, having authored 96 papers that have together received 1.9k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (57 papers), Supply Chain and Inventory Management (20 papers), Advanced Control Systems Optimization (18 papers), Manufacturing Process and Optimization (14 papers), Simulation Techniques and Applications (14 papers), Advanced Manufacturing and Logistics Optimization (12 papers), Assembly Line Balancing Optimization (9 papers) and Process Optimization and Integration (9 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (935 citations), Management Information Systems (666 citations) and Management Science and Operations Research (431 citations). Karl G. Kempf has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Daniel E. Rivera, Reha Uzsoy, Martin Braun, W. Matthew Carlyle, Pınar Keskinocak, C. Klingshirn, Dieter Armbruster, Wenlin Wang, Hessam S. Sarjoughian and John Fowler. Their work appears in journals such as Physical review. B, Condensed matter, Expert Systems with Applications and IEEE Access.

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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2026