H.J.J. Kals

2.7k citations
103 papers · 1.9k · h-index 24

Impact in

Papers in

H.J.J. Kals

99 papers receiving 1.7k citations

Peers

H.J.J. Kals
Comparison fields: 5 of 73
  • Industrial and Manufacturing Engineering 1.3k
  • Management of Technology and Innovation 298
  • Ecological Modeling 183
  • Mechanical Engineering 802
  • Automotive Engineering 200
Replace David S. Stargel with:
David S. Stargel United States
S. Kumanan India
Huiyue Dong China
C.A. van Luttervelt Netherlands
Thomas Bergs Germany
Uwe Heisel Germany
Moshe M. Barash United States
J. Balič Slovenia
Guofu Ding China
Alessandra Caggiano Italy
H.J.J. Kals relative to David S. Stargel United States David S. Stargel's profile →
Citations per field
00.5×4.2×
David S. Stargel · 1×
Citations per year

Countries citing papers authored by H.J.J. Kals

Since Specialization
Citations

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

Fields of papers citing papers by H.J.J. Kals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.J.J. Kals. 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 H.J.J. Kals. The network helps show where H.J.J. Kals may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993171
2 1988170
3 2001118
4 200294
5 198880
6 200079
7 199859
8 199858
9 198954
10 198650
11 199847
12 199645
13 199643
14 199538
15 199635
16 199434
17 199232
18 199932
19 199631
20 199730

About H.J.J. Kals

H.J.J. Kals is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Computational Mechanics, Management of Technology and Innovation and Automotive Engineering, having authored 103 papers that have together received 1.9k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (70 papers), Metal Forming Simulation Techniques (13 papers), Flexible and Reconfigurable Manufacturing Systems (13 papers), Design Education and Practice (11 papers), Scheduling and Optimization Algorithms (10 papers), Product Development and Customization (10 papers), Advanced Numerical Analysis Techniques (8 papers) and Metallurgy and Material Forming (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.3k citations), Management of Technology and Innovation (298 citations), Ecological Modeling (183 citations), Mechanical Engineering (802 citations) and Automotive Engineering (200 citations). H.J.J. Kals has collaborated with scholars based in Netherlands, United Kingdom and South Korea. Frequent co-authors include A.H. Streppel, F.J.A.M. van Houten, C.A. van Luttervelt, O.W. Salomons, Leo De Vin, A.M. Hoogstrate, Fred van Houten, S. Paul, W. König and Hans Kurt Tönshoff. Their work appears in journals such as CIRP Annals, Journal of Materials Processing Technology, Computers in Industry, International Journal of Production Research and Robotics and Computer-Integrated Manufacturing.

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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