Countries citing papers authored by Herbert Schulz
Since
Specialization
Citations
This map shows the geographic impact of Herbert Schulz'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 Herbert Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herbert Schulz more than expected).
This network shows the impact of papers produced by Herbert Schulz. 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 Herbert Schulz. The network helps show where Herbert Schulz may publish in the future.
Co-authorship network of co-authors of Herbert Schulz
This figure shows the co-authorship network connecting the top 25 collaborators of Herbert Schulz.
A scholar is included among the top collaborators of Herbert Schulz 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 Herbert Schulz. Herbert Schulz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Dudzinski, D., A. Molinari, & Herbert Schulz. (2002). Metal cutting and high speed machining.44 indexed citations
2.
Abele, Eberhard, et al.. (2002). State of the art in CGI machining. TUbilio (Technical University of Darmstadt).4 indexed citations
3.
Schulz, Herbert, et al.. (2002). CAM systems for a HSC-suitable processing of sculptured surfaces. TUbilio (Technical University of Darmstadt).1 indexed citations
4.
Schulz, Herbert, et al.. (2001). Process monitoring with mechatronic toolholders. TUbilio (Technical University of Darmstadt).4 indexed citations
5.
Schulz, Herbert, et al.. (2001). Improvement of cutting process in accordance with process disturbances. TUbilio (Technical University of Darmstadt).2 indexed citations
6.
Schulz, Herbert, et al.. (2001). Using the principle of genetic algorithms (GA) for th optimization of the chip flute of drilling tools.1 indexed citations
7.
Schulz, Herbert. (2000). Machine concepts for high speed cutting. TUbilio (Technical University of Darmstadt).1 indexed citations
8.
Schulz, Herbert. (1999). The history of high-speed machining. TUbilio (Technical University of Darmstadt). 7(13). 9–18.15 indexed citations
9.
Schulz, Herbert, et al.. (1999). Analysis and optimization of the dynamic contour accuracy using the example of a linear motor machine tool. TUbilio (Technical University of Darmstadt).1 indexed citations
10.
Schulz, Herbert, et al.. (1999). Wear mechanisms in highspeed machining of compacted graphite iron. TUbilio (Technical University of Darmstadt).2 indexed citations
11.
Schulz, Herbert. (1998). High speed machining needs very fast and accurate machine tools. TUbilio (Technical University of Darmstadt).1 indexed citations
12.
Schulz, Herbert. (1997). State of the art of high-speed machining. TUbilio (Technical University of Darmstadt).3 indexed citations
13.
Schulz, Herbert. (1996). Aluminium-Knetlegierungen trocken bearbeiten. TUbilio (Technical University of Darmstadt).1 indexed citations
14.
Schulz, Herbert, et al.. (1995). Parameters to describe the behaviour of clamping means for tools with parallel shanks. TUbilio (Technical University of Darmstadt).2 indexed citations
15.
Schulz, Herbert, et al.. (1994). High Speed Milling of Turbine Blades. Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; General.2 indexed citations
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.