Daniel J. Brown

2.9k total citations
119 papers, 1.6k citations indexed

About

Daniel J. Brown is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Daniel J. Brown has authored 119 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Electrical and Electronic Engineering, 23 papers in Atomic and Molecular Physics, and Optics and 22 papers in Spectroscopy. Recurrent topics in Daniel J. Brown's work include Laser Design and Applications (50 papers), Solid State Laser Technologies (27 papers) and Spectroscopy and Laser Applications (21 papers). Daniel J. Brown is often cited by papers focused on Laser Design and Applications (50 papers), Solid State Laser Technologies (27 papers) and Spectroscopy and Laser Applications (21 papers). Daniel J. Brown collaborates with scholars based in Australia, United Kingdom and United States. Daniel J. Brown's co-authors include David Fletcher, James A. Piper, Michael J. Withford, Rachel Arnold, Robert J. Carman, Martyn Standage, Mustafa Sarkar, David W. Coutts, Richard P. Mildren and Ian Henry and has published in prestigious journals such as Journal of Applied Physics, Analytical Chemistry and Optics Letters.

In The Last Decade

Daniel J. Brown

107 papers receiving 1.5k 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. Brown Australia 20 599 481 443 305 278 119 1.6k
George Graham United States 24 61 0.1× 451 0.9× 406 0.9× 50 0.2× 31 0.1× 95 2.3k
D. Liljequist Sweden 21 277 0.5× 24 0.0× 42 0.1× 66 0.2× 28 0.1× 60 2.1k
Christopher L. Stevenson United States 14 26 0.0× 77 0.2× 121 0.3× 34 0.1× 67 0.2× 29 483
Wayne Smith New Zealand 19 43 0.1× 177 0.4× 171 0.4× 43 0.1× 28 0.1× 68 1.0k
James Snyder United States 39 208 0.3× 348 0.7× 1.2k 2.7× 2 0.0× 164 0.6× 114 4.2k
Robert L. Morgan United States 17 146 0.2× 307 0.6× 37 0.1× 4 0.0× 39 0.1× 86 1.2k
J. Baranowski Poland 8 53 0.1× 74 0.2× 202 0.5× 6 0.0× 10 0.0× 24 429
Klaus Lenz Germany 24 37 0.1× 49 0.1× 105 0.2× 26 0.1× 10 0.0× 75 1.8k
Margaret Brown United Kingdom 23 326 0.5× 283 0.6× 97 0.2× 2 0.0× 5 0.0× 136 2.5k
David M. Hansen United States 15 157 0.3× 386 0.8× 717 1.6× 34 0.1× 38 1.7k

Countries citing papers authored by Daniel J. Brown

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Brown'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. Brown 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. Brown more than expected).

Fields of papers citing papers by Daniel J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Brown. A scholar is included among the top collaborators of Daniel J. Brown 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. Brown. Daniel J. Brown 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.
Quartiroli, Alessandro, et al.. (2024). Two Confessional Tales of Trainee Sport Psychology Practitioners’ Experiences of Operating in Trinidad and Tobago. The Sport Psychologist. 38(4). 271–279.
2.
Brown, Daniel J., et al.. (2024). “Are you here for performance or are you here for well-being?” Using participatory research to promote thriving in a British Olympic sport organization. Journal of Applied Sport Psychology. 36(6). 997–1022. 3 indexed citations
3.
Behm, Keegan, A. D. LaForge, M. Jurna, et al.. (2024). High-power EUV light sources (>500w) for high throughput in next-generation EUV lithography tools. 43–43. 4 indexed citations
4.
Brown, Daniel J., et al.. (2023). Across the Pond: An Exploration of the American Collegiate System as a Pathway for Elite British Female Gymnasts. The Sport Psychologist. 37(1). 48–57. 1 indexed citations
5.
Mesagno, Christopher, et al.. (2020). Sport performance interventions: Evaluating past strategies and providing future recommendations. Victoria University Research Repository (Victoria University). 1 indexed citations
6.
Brown, Daniel J., Rachel Arnold, Martyn Standage, James Turner, & David Fletcher. (2020). The prediction of thriving in elite sport: A prospective examination of the role of psychological need satisfaction, challenge appraisal, and salivary biomarkers. Journal of science and medicine in sport. 24(4). 373–379. 19 indexed citations
7.
Brown, Daniel J. & Rachel Arnold. (2018). Sports performers' perspectives on facilitating thriving in professional rugby contexts. Psychology of sport and exercise. 40. 71–81. 18 indexed citations
8.
Brown, Daniel J., Rachel Arnold, Martyn Standage, & David Fletcher. (2017). Thriving on Pressure: A Factor Mixture Analysis of Sport Performers’ Responses to Competitive Encounters. Journal of Sport and Exercise Psychology. 39(6). 423–437. 29 indexed citations
9.
Brown, Daniel J. & David Fletcher. (2016). Effects of Psychological and Psychosocial Interventions on Sport Performance: A Meta-Analysis. Sports Medicine. 47(1). 77–99. 155 indexed citations
10.
Sarkar, Mustafa, David Fletcher, & Daniel J. Brown. (2014). What doesn’t kill me…: Adversity-related experiences are vital in the development of superior Olympic performance. Journal of science and medicine in sport. 18(4). 475–479. 104 indexed citations
11.
Brown, Daniel J., et al.. (2000). Optimization of trepanning strategies for micromachining of polymers with high-pulse-rate UV lasers. Proceedings of SPIE - The International Society for Optical Engineering. 3888. 608–616. 1 indexed citations
13.
Withford, Michael J., Daniel J. Brown, & James A. Piper. (1996). Investigation of the evolution of trace impurities from a newly constructed copper vapour laser. Journal of Physics D Applied Physics. 29(2). 315–321. 11 indexed citations
14.
Brown, Daniel J. & David W. Coutts. (1994). Efficient high beam quality copper vapor laser MOPA system with miniature master oscillator. Conference on Lasers and Electro-Optics. 1–1. 5 indexed citations
15.
Coutts, David W. & Daniel J. Brown. (1993). Measurement of the spatio-temporal evolution of gain in CVL oscillators and amplifiers. Conference on Lasers and Electro-Optics. 1 indexed citations
16.
Coutts, David W., Daniel J. Brown, & James A. Piper. (1993). Nonlinear frequency conversion of CVL fundamental and second-harmonic outputs. Conference on Lasers and Electro-Optics. 2 indexed citations
17.
Brown, Daniel J.. (1990). What Is the Structure of School-Based Management?.. Education Canada. 30(3). 4–9. 1 indexed citations
18.
Brown, Daniel J., et al.. (1990). Power scaling of the pulsed barium vapor laser in the mid infrared. Conference on Lasers and Electro-Optics. 1 indexed citations
19.
Brown, Daniel J.. (1979). The Case for Tax-Target Plans.. Journal of education finance. 5(2). 1 indexed citations
20.
Brown, Daniel J.. (1975). A Smoothing Solution to the School District Enrollment Projection Problem.. 1 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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