INGE TROCH

420 citations
55 papers · 298 · h-index 10

Impact in

Papers in

INGE TROCH

46 papers receiving 271 citations

Peers

INGE TROCH
Comparison fields: 5 of 59
  • Control and Systems Engineering 164
  • Computational Theory and Mathematics 35
  • Computational Mathematics 1
  • Numerical Analysis 7
  • Computer Vision and Pattern Recognition 24
Replace Hajime AKASHI with:
Hajime AKASHI Japan
Nicholas Assimakis Greece
William G. Vogt United States
Vladimir Ya. Turetsky Israel
Tor Steinar Schei Norway
Anthony F. Hotz United States
D.H. Chyung United States
F. Bailey United States
Atif S. Debs United States
J.C. Culioli United States
INGE TROCH relative to Hajime AKASHI Japan Hajime AKASHI's profile →
Citations per field
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Hajime AKASHI · 1×
Citations per year

Countries citing papers authored by INGE TROCH

Since Specialization
Citations

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

Fields of papers citing papers by INGE TROCH

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside INGE TROCH, 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 INGE TROCH Line = papers co-authored together INGE TROCH links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197323
2 199520
3 198716
4 199616
5 198515
6
MODELLING AND EVALUATION OF DESYNCHRONIZATION STRATEGIES FOR CONTROLLABLE COOLING DEVICES
200914
7 198613
8 198913
9 200413
10 198212
11 198810
12 201210
13 19859
14 19929
15 19718
16 19847
17 19897
18 19816
19 19946
20 19725

About INGE TROCH

INGE TROCH is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Management Science and Operations Research, Media Technology and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 298 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (17 papers), Advanced Control Systems Design (11 papers), Dynamics and Control of Mechanical Systems (6 papers), Control Systems and Identification (6 papers), Modeling and Simulation Systems (6 papers), Advanced Control Systems Optimization (6 papers), Simulation Techniques and Applications (5 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Control and Systems Engineering (164 citations), Computational Theory and Mathematics (35 citations), Computational Mathematics (1 citation), Numerical Analysis (7 citations) and Computer Vision and Pattern Recognition (24 citations). INGE TROCH has collaborated with scholars based in Austria, Slovenia and Germany. Frequent co-authors include Felix Breitenecker, P. Kopáček, Spyros G. Tzafestaş, Martin Komjati, Werner K Waldhäusl, Paul R Bratusch-Marrain, Michael Sonnenschein, Peter Lugnér, Jutta Gampe and Alexander Weinmann. Their work appears in journals such as Robotica, IEEE Transactions on Automatic Control, Journal of Intelligent & Robotic Systems, Automatica and Endocrinology.

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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