Daniel J. Förster

1.1k citations
33 papers · 833 · h-index 14

Impact in

Papers in

Daniel J. Förster

32 papers receiving 784 citations

Peers

Daniel J. Förster
Comparison fields: 5 of 64
  • Computational Mechanics 566
  • Ophthalmology 182
  • Mechanics of Materials 328
  • Surfaces, Coatings and Films 61
  • Instrumentation 27
Replace Takayuki Tamaki with:
Takayuki Tamaki Japan
Kaihu Zhang China
Hemi H. Gandhi United States
Alan Arai United States
James M. Bovatsek United States
Hongfei Jiao China
Ilya Mingareev United States
A. E. Ligachev Russia
B. Jaeggi Switzerland
Henrik Ehlers Germany
Daniel J. Förster relative to Takayuki Tamaki Japan Takayuki Tamaki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Förster

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Förster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983305
2 202183
3 201879
4 201839
5 201837
6 202134
7 202029
8
Space lubrication and performance of harmonic drive gears
200527
9 201924
10 201822
11 202120
12 202018
13 201518
14 201817
15 202312
16 20089
17 20168
18 20186
19 20176
20 20145

About Daniel J. Förster

Daniel J. Förster is a scholar working on Computational Mechanics, Mechanics of Materials, Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 33 papers that have together received 833 indexed citations. Recurring topics across this work include Laser Material Processing Techniques (23 papers), Laser-induced spectroscopy and plasma (17 papers), Advanced Surface Polishing Techniques (9 papers), Laser-Ablation Synthesis of Nanoparticles (5 papers), Advanced machining processes and optimization (4 papers), Ocular and Laser Science Research (3 papers), Diamond and Carbon-based Materials Research (3 papers) and Advanced Optical Sensing Technologies (3 papers). The work is most often cited by research in Computational Mechanics (566 citations), Ophthalmology (182 citations), Mechanics of Materials (328 citations), Surfaces, Coatings and Films (61 citations) and Instrumentation (27 citations). Daniel J. Förster has collaborated with scholars based in Germany, Switzerland and China. Frequent co-authors include P. E. Dyer, P.H. Key, James E. Andrew, Rudolf Weber, Thomas Graf, Andreas Michalowski, Beat Neuenschwander, Daniel Holder, Sen Yang and Bernd Eberle. Their work appears in journals such as Applied Surface Science, Applied Physics A, Optics & Laser Technology, Optics Express and Materials.

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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