Daniel Watzenig

120 papers receiving 999 citations

Peers

Daniel Watzenig
Comparison fields: 5 of 88
  • Automotive Engineering 293
  • Control and Systems Engineering 268
  • Geophysics 150
  • Statistics, Probability and Uncertainty 66
  • Software 31
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Xuyun Fu China
Shalabh Gupta United States
Yong–June Shin South Korea
Heng Wang China
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Citations per year

Countries citing papers authored by Daniel Watzenig

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Watzenig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200980
2 201677
3 200652
4 200344
5 202043
6 201339
7 200533
8 201330
9 201426
10 200425
11 202025
12 200824
13 201920
14 201820
15
NEPCE - A nearly energy-preserving coupling element for weak-coupled problems and co-simulation
201320
16 200919
17
Non-Iterative Reconstruction for Electrical Tomography using Optimal First and Second Order Approximations
200717
18 202016
19 201215
20 200715

About Daniel Watzenig

Daniel Watzenig is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Artificial Intelligence and Mechanics of Materials, having authored 133 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (34 papers), Autonomous Vehicle Technology and Safety (21 papers), Fault Detection and Control Systems (15 papers), Flow Measurement and Analysis (14 papers), Geophysical and Geoelectrical Methods (14 papers), Real-time simulation and control systems (13 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers) and Robotic Path Planning Algorithms (9 papers). The work is most often cited by research in Automotive Engineering (293 citations), Control and Systems Engineering (268 citations), Geophysics (150 citations), Statistics, Probability and Uncertainty (66 citations) and Software (31 citations). Daniel Watzenig has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Gerald Steiner, Colin Fox, Bernhard Brandstätter, Martin Horn, Gert Holler, Michael Stolz, Martin Benedikt, Markus Neumayer, Alexander Thaler and George S. Dulikravich. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Measurement Science and Technology, IEEE Transactions on Magnetics, Nuclear Engineering and Design and COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering.

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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