Daniel J. Förster

1.1k total citations
33 papers, 817 citations indexed

About

Daniel J. Förster is a scholar working on Computational Mechanics, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Daniel J. Förster has authored 33 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 19 papers in Mechanics of Materials and 16 papers in Biomedical Engineering. Recurrent topics in Daniel J. Förster's work include Laser Material Processing Techniques (23 papers), Laser-induced spectroscopy and plasma (17 papers) and Advanced Surface Polishing Techniques (9 papers). Daniel J. Förster is often cited by papers focused on Laser Material Processing Techniques (23 papers), Laser-induced spectroscopy and plasma (17 papers) and Advanced Surface Polishing Techniques (9 papers). Daniel J. Förster collaborates with scholars based in Germany, Switzerland and China. Daniel J. Förster's co-authors include P.H. Key, P. E. Dyer, James E. Andrew, Rudolf Weber, Thomas Graf, Andreas Michalowski, Beat Neuenschwander, Sen Yang, Yuan Qin and Bernd Eberle and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Optics Express.

In The Last Decade

Daniel J. Förster

32 papers receiving 764 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel J. Förster Germany 14 559 326 224 181 173 33 817
A. E. Ligachev Russia 18 603 1.1× 373 1.1× 290 1.3× 71 0.4× 92 0.5× 55 812
B. Jaeggi Switzerland 18 792 1.4× 473 1.5× 453 2.0× 210 1.2× 170 1.0× 38 1.0k
Andreas Michalowski Germany 12 628 1.1× 294 0.9× 396 1.8× 122 0.7× 228 1.3× 39 967
Dimitris Karnakis United Kingdom 14 440 0.8× 170 0.5× 393 1.8× 77 0.4× 345 2.0× 39 815
Е. В. Голосов Russia 14 378 0.7× 244 0.7× 218 1.0× 61 0.3× 44 0.3× 42 605
John Lopez France 16 638 1.1× 285 0.9× 396 1.8× 140 0.8× 178 1.0× 42 837
Takayuki Tamaki Japan 12 730 1.3× 131 0.4× 418 1.9× 270 1.5× 176 1.0× 26 871
Henrik Ehlers Germany 15 366 0.7× 138 0.4× 175 0.8× 37 0.2× 387 2.2× 76 787
Andrius Melninkaitis Lithuania 16 543 1.0× 160 0.5× 384 1.7× 134 0.7× 260 1.5× 108 963
Sören Richter Germany 14 741 1.3× 173 0.5× 465 2.1× 181 1.0× 139 0.8× 30 848

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-authorship network of co-authors of Daniel J. Förster

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Förster. A scholar is included among the top collaborators of Daniel J. Förster 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 Daniel J. Förster. Daniel J. Förster 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.
Kovács, András, Daniel J. Förster, Julien Petit, et al.. (2025). Fabrication and characterization of 3D micro-coils with hybrid manufacturing methods. Journal of Manufacturing Processes. 145. 190–200. 1 indexed citations
2.
Qin, Yuan, et al.. (2023). Light absorption of W-Cu powders in laser powder bed fusion. Optics & Laser Technology. 162. 109243–109243. 11 indexed citations
3.
Förster, Daniel J., et al.. (2022). Simulation and compensation of thermal lensing in optical systems. Optics Express. 30(21). 38643–38643. 3 indexed citations
4.
Förster, Daniel J., et al.. (2021). Atomistic simulation of ultra-short pulsed laser ablation of Al: an extension for non-thermalized electrons and ballistic transport. Journal of Physics D Applied Physics. 55(13). 135301–135301. 1 indexed citations
5.
Weber, Rudolf, et al.. (2021). Analytical model for the depth progress of percussion drilling with ultrashort laser pulses. Applied Physics A. 127(5). 33 indexed citations
6.
Abt, Felix, et al.. (2021). Laser drilling of banknote substrates. Results in Optics. 3. 100058–100058. 3 indexed citations
7.
Qin, Yuan, Daniel J. Förster, Rudolf Weber, et al.. (2020). Numerical analysis and semi-analytical prediction of the depth of holes drilled with combined ms and ns laser pulses. Journal of Applied Physics. 127(21). 4 indexed citations
8.
Förster, Daniel J., et al.. (2020). Atomistic simulation of ultra-short pulsed laser ablation of metals with single and double pulses: An investigation of the re-deposition phenomenon. Applied Surface Science. 537. 147775–147775. 27 indexed citations
9.
Förster, Daniel J., et al.. (2020). Thrust enhancement and propellant conservation for laser propulsion using ultra-short double pulses. Applied Surface Science. 510. 145391–145391. 18 indexed citations
10.
Reichardt, G., Mathias Liewald, Daniel J. Förster, et al.. (2020). Tribological system for cold sheet metal forming based on volatile lubricants and laser structured surfaces. Media (https://www.suub.uni-bremen.de/). 6. 128. 2 indexed citations
11.
Qin, Yuan, Daniel J. Förster, Rudolf Weber, Thomas Graf, & Sen Yang. (2018). Numerical study of the dynamics of the hole formation during drilling with combined ms and ns laser pulses. Optics & Laser Technology. 112. 8–19. 37 indexed citations
12.
Förster, Daniel J., et al.. (2018). Residual heat during laser ablation of metals with bursts of ultra-short pulses. Advanced Optical Technologies. 7(3). 175–182. 22 indexed citations
13.
Förster, Daniel J., et al.. (2018). Estimation of the depth limit for percussion drilling with picosecond laser pulses. Optics Express. 26(9). 11546–11546. 37 indexed citations
14.
Förster, Daniel J., et al.. (2018). Hybrid lubrication of PFPE Fluids and Sputtered MoS2. CLOK (University of Central Lancashire). 3 indexed citations
15.
Förster, Daniel J., et al.. (2017). Power Spectral Density Evaluation of Laser Milled Surfaces. Materials. 11(1). 50–50. 6 indexed citations
16.
Eberle, Bernd & Daniel J. Förster. (2016). Visible laser dazzle. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9989. 99890J–99890J. 8 indexed citations
17.
Scharring, Stefan, et al.. (2016). The MICROLAS concept: precise thrust generation in the Micronewton range by laser ablation. elib (German Aerospace Center). 5 indexed citations
18.
Scharring, Stefan, et al.. (2016). Thrust noise minimization in long-term laser ablation of propellant material in the nanosecond and picosecond regime. Optical Engineering. 56(1). 11010–11010. 3 indexed citations
19.
Ritt, Gunnar, et al.. (2014). Protection performance evaluation regarding imaging sensors hardened against laser dazzling. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9249. 924908–924908. 5 indexed citations
20.
Andrew, James E., P. E. Dyer, Daniel J. Förster, & P.H. Key. (1983). Direct etching of polymeric materials using a XeCl laser. Applied Physics Letters. 43(8). 717–719. 304 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.

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