A. Rýd

30.7k total citations
12 papers, 92 citations indexed

About

A. Rýd is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, A. Rýd has authored 12 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 3 papers in Computer Networks and Communications and 2 papers in Hardware and Architecture. Recurrent topics in A. Rýd's work include Particle physics theoretical and experimental studies (7 papers), Particle Detector Development and Performance (5 papers) and Quantum Chromodynamics and Particle Interactions (3 papers). A. Rýd is often cited by papers focused on Particle physics theoretical and experimental studies (7 papers), Particle Detector Development and Performance (5 papers) and Quantum Chromodynamics and Particle Interactions (3 papers). A. Rýd collaborates with scholars based in United States, Italy and Israel. A. Rýd's co-authors include Michael Gronau, Dan Pirjol, Yuval Grossman, L. Skinnari, Alexey A. Petrov, R. Stone, Y. Gershtein, P. Wittich, M. Hildreth and Jorge Chaves and has published in prestigious journals such as Physical Review Letters, Reviews of Modern Physics and Annual Review of Nuclear and Particle Science.

In The Last Decade

A. Rýd

11 papers receiving 88 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Rýd United States	5	80	7	6	6	5	12	92
D. Jeans Japan	5	55 0.7×	7 1.0×	13 2.2×	3 0.5×	4 0.8×	14	62
H. Stenzel Germany	4	171 2.1×	6 0.9×	3 0.5×	3 0.5×	8 1.6×	11	172
Günther Dissertori Switzerland	5	73 0.9×	4 0.6×	8 1.3×	8 1.3×	9 1.8×	11	87
M. Schiller Netherlands	4	143 1.8×	4 0.6×	5 0.8×	3 0.5×	4 0.8×	8	145
K. Reeves Germany	6	63 0.8×	4 0.6×	12 2.0×	3 0.5×	4 0.8×	11	73
B. Adeva Spain	3	200 2.5×	6 0.9×	14 2.3×	7 1.2×	4 0.8×	4	208
J. Konigsberg United States	5	111 1.4×	9 1.3×	10 1.7×	2 0.3×	8 1.6×	13	122
A. Heister Germany	3	35 0.4×	6 0.9×	9 1.5×	2 0.3×	4 0.8×	5	37
R. Zhang United States	5	62 0.8×	3 0.4×	7 1.2×	2 0.3×	4 0.8×	9	67
Y. Sakamoto Japan	5	44 0.6×	9 1.3×	6 1.0×	4 0.7×	2 0.4×	13	68

Countries citing papers authored by A. Rýd

Since Specialization

Citations

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

Fields of papers citing papers by A. Rýd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Rýd

This figure shows the co-authorship network connecting the top 25 collaborators of A. Rýd. A scholar is included among the top collaborators of A. Rýd 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 A. Rýd. A. Rýd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Kim, Beum Jun, Pimkhuan Hannanta‐anan, A. Rýd, Melody A. Swartz, & Mingming Wu. (2020). Lymphoidal chemokine CCL19 promoted the heterogeneity of the breast tumor cell motility within a 3D microenvironment revealed by a Lévy distribution analysis. Integrative Biology. 12(1). 12–20. 4 indexed citations

2.

Rýd, A. & L. Skinnari. (2020). Tracking Triggers for the HL-LHC. Annual Review of Nuclear and Particle Science. 70(1). 171–195. 11 indexed citations

3.

Chaves, Jorge, Y. Gershtein, E. Halkiadakis, et al.. (2017). FPGA-Based Tracklet Approach to Level-1 Track Finding at CMS for the HL-LHC. Springer Link (Chiba Institute of Technology). 6 indexed citations

4.

Chaves, Jorge, Y. Gershtein, E. Halkiadakis, et al.. (2017). FPGA-Based Real-Time Charged Particle Trajectory Reconstruction at the Large Hadron Collider. 64–71. 3 indexed citations

5.

Rýd, A., et al.. (2015). Melt-concrete interface heat transfer models and coolability models: PWR analyses with MELCOR/CORCON and CORQUENCH. DORA PSI (Paul Scherrer Institute). 1 indexed citations

6.

Hoff, J., M. Johnson, R. Lipton, et al.. (2013). Design for a L1 tracking trigger for CMS. Journal of Instrumentation. 8(2). C02004–C02004. 3 indexed citations

7.

Rýd, A. & Alexey A. Petrov. (2012). HadronicDandDsmeson decays. Reviews of Modern Physics. 84(1). 65–117. 11 indexed citations

8.

Rýd, A.. (2009). CMS pixel experience in detector commissioning. 14–14. 1 indexed citations

9.

Arms, William Y., Manuel Calimlim, J. M. Cordes, et al.. (2006). Three Case Studies of Large-Scale Data Flows. 27. 66–66. 1 indexed citations

10.

Rýd, A., D. J. Lange, N. Kuznetsova, et al.. (2005). EvtGen: A Monte Carlo Generator for B-Physics. 6 indexed citations

11.

Rýd, A. & F. C. Porter. (2002). Heavy flavor physics : ninth International Symposium on Heavy Flavor Physics, Pasadena, California 10-13 September 2001. American Institute of Physics eBooks. 1 indexed citations

12.

Gronau, Michael, Yuval Grossman, Dan Pirjol, & A. Rýd. (2002). Measuring the Photon Polarization inB→Kππγ. Physical Review Letters. 88(5). 51802–51802. 44 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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