D. Barschdorff

34 papers receiving 366 citations

Peers

D. Barschdorff
Comparison fields: 5 of 62
  • Atmospheric Science 149
  • Applied Mathematics 79
  • Industrial and Manufacturing Engineering 51
  • Statistical and Nonlinear Physics 48
  • Computational Mechanics 62
Replace Cécile Dobrzynski with:
Cécile Dobrzynski France
Anthony Teolis United States
D. Ait‐Ali‐Yahia Canada
Wenfei Cao China
V. Kalro United States
Olivier Laligant France
Olivier Alata France
Jason Christopher United States
Paul Louis George France
Hans‐Georg Stark Germany
D. Barschdorff relative to Cécile Dobrzynski France Cécile Dobrzynski's profile →
Citations per field
00.5×7.3×
Cécile Dobrzynski · 1×
Citations per year

Countries citing papers authored by D. Barschdorff

Since Specialization
Citations

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

Fields of papers citing papers by D. Barschdorff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside D. Barschdorff, 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 D. Barschdorff Line = papers co-authored together D. Barschdorff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197174
2 197558
3 199142
4 200228
5 200223
6 197219
7 199818
8 199112
9 198412
10 199712
11 199012
12
Cutting tool monitoring in turning under varying cutting conditions: an artificial neural network approach
199311
13 200211
14 200310
15 199710
16 20026
17 19865
18 19915
19 19943
20 19903

About D. Barschdorff

D. Barschdorff is a scholar working on Mechanical Engineering, Control and Systems Engineering, Pulmonary and Respiratory Medicine, Industrial and Manufacturing Engineering and Endocrine and Autonomic Systems, having authored 36 papers that have together received 400 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (5 papers), Advanced machining processes and optimization (5 papers), Neuroscience of respiration and sleep (5 papers), Neural Networks and Applications (4 papers), nanoparticles nucleation surface interactions (4 papers), Phonocardiography and Auscultation Techniques (4 papers), Engineering Technology and Methodologies (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Atmospheric Science (149 citations), Applied Mathematics (79 citations), Industrial and Manufacturing Engineering (51 citations), Statistical and Nonlinear Physics (48 citations) and Computational Mechanics (62 citations). D. Barschdorff has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include László Monostori, E. Trowitzsch, Wei Zhang, W. J. Dunning, Peter P. Wegener, S. Wittig, Donald C. Gerhardt, H.‐J. Haupt, W. Nitsche and Botond Kádár. Their work appears in journals such as Computers in Industry, Measurement, International Journal of Heat and Mass Transfer, Nuclear Technology and Forschung im Ingenieurwesen.

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.

Explore authors with similar magnitude of impact