A. Bean

113.1k total citations
25 papers, 200 citations indexed

About

A. Bean is a scholar working on Nuclear and High Energy Physics, Radiation and Electrical and Electronic Engineering. According to data from OpenAlex, A. Bean has authored 25 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nuclear and High Energy Physics, 8 papers in Radiation and 6 papers in Electrical and Electronic Engineering. Recurrent topics in A. Bean's work include Particle Detector Development and Performance (10 papers), Particle physics theoretical and experimental studies (9 papers) and Astrophysics and Cosmic Phenomena (8 papers). A. Bean is often cited by papers focused on Particle Detector Development and Performance (10 papers), Particle physics theoretical and experimental studies (9 papers) and Astrophysics and Cosmic Phenomena (8 papers). A. Bean collaborates with scholars based in United States, Switzerland and New Zealand. A. Bean's co-authors include John P. Ralston, S. Seunarine, Douglas W. McKay, George M. Frichter, I. Kravchenko, D. Seckel, Roman V. Buniy, J. Adams, J. Meyers and D. Schmitz and has published in prestigious journals such as Physical Review Letters, Computer Physics Communications and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

A. Bean

20 papers receiving 190 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Bean United States 6 167 74 47 22 9 25 200
J. G. Stacy United States 6 150 0.9× 147 2.0× 26 0.6× 6 0.3× 3 0.3× 36 210
R. Stroynowski United States 8 154 0.9× 21 0.3× 30 0.6× 12 0.5× 4 0.4× 17 187
L. Miramonti Italy 9 156 0.9× 39 0.5× 44 0.9× 7 0.3× 48 5.3× 34 205
G. Auriemma Italy 7 108 0.6× 32 0.4× 17 0.4× 6 0.3× 3 0.3× 27 151
C. E. Covault United States 12 321 1.9× 225 3.0× 14 0.3× 5 0.2× 3 0.3× 49 362
G. Navarra Italy 9 140 0.8× 59 0.8× 17 0.4× 12 0.5× 2 0.2× 41 167
M. Sasaki United States 6 73 0.4× 102 1.4× 11 0.2× 9 0.4× 2 0.2× 16 155
R. W. Ellsworth United States 11 284 1.7× 53 0.7× 10 0.2× 8 0.4× 6 0.7× 32 311
I. Fleck Germany 5 107 0.6× 43 0.6× 17 0.4× 9 0.4× 1 0.1× 13 154
D. Ivanov United States 10 262 1.6× 67 0.9× 22 0.5× 8 0.4× 2 0.2× 46 283

Countries citing papers authored by A. Bean

Since Specialization
Citations

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

Fields of papers citing papers by A. Bean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Bean. A scholar is included among the top collaborators of A. Bean 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. Bean. A. Bean 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.
Yoo, J., M. Swartz, Giuseppe Di Guglielmo, et al.. (2024). Smart Pixels: In-pixel AI for on-sensor data filtering. arXiv (Cornell University). 1–2.
2.
Kulkarni, Shruti, Prasanna Date, Jeffrey S. Vetter, et al.. (2023). On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8. 5 indexed citations
3.
Rohe, T., A. Bean, W. Erdmann, et al.. (2010). Radiation hardness of CMS pixel barrel modules. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 624(2). 414–418. 5 indexed citations
4.
Bean, A.. (2010). The CMS pixel detector and challenges (prospectives) for its upgrade. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 624(2). 286–289. 4 indexed citations
5.
Rohe, T., A. Bean, V. Radicci, & J. Sibille. (2010). Planar sensors for the upgrade of the CMS pixel detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 650(1). 136–139. 7 indexed citations
6.
Bean, A., et al.. (2010). Adventures in the subatomic universe: An exploratory study of a scientist–museum physics education project. Public Understanding of Science. 20(6). 846–862. 5 indexed citations
7.
Bean, A., et al.. (2008). Evidence for observation of virtual radio Cherenkov fields. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 596(2). 172–185. 4 indexed citations
8.
Bean, A., et al.. (2008). Quarked! — Adventures in Particle Physics Education. The Physics Teacher. 47(1). 38–41. 1 indexed citations
9.
Bean, A., et al.. (2006). RICE Limits on the Diffuse Ultra-High Energy Neutrino Flux. AIP conference proceedings. 870. 212–214. 4 indexed citations
10.
Kravchenko, I., Christopher G. Cooley, D. Seckel, et al.. (2005). Using RICE Data and GZK Neutrino Flux Models to Bound Low Scale Gravity. CERN Document Server (European Organization for Nuclear Research). 9. 271. 1 indexed citations
11.
Kravchenko, I., George M. Frichter, L. Piccirillo, et al.. (2003). Limits on the ultra-high energy electron neutrino flux from the RICE experiment. Astroparticle Physics. 20(2). 195–213. 54 indexed citations
12.
Kravchenko, I., George M. Frichter, D. Seckel, et al.. (2003). Performance and simulation of the RICE detector. Astroparticle Physics. 19(1). 15–36. 61 indexed citations
13.
Bean, A.. (2001). Status of the DØ Silicon Microstrip Tracker. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 466(2). 262–267.
14.
Ammar, R., S. Anderson, A. Bean, D. Besson, & X. Zhao. (2001). Search for the Familon via B± --> pi±X0, B± --> K±X0, and B0 --> K0SX0 Decays. Physical Review Letters. 87(27). 2718011–2718015. 1 indexed citations
15.
Bean, A.. (2001). Planning for the Generation-X Radio Cherenkov test beam experiment. AIP conference proceedings. 579. 234–240. 2 indexed citations
16.
Wolf, A., C. Gwon, K. Honscheid, et al.. (1998). The DAQ system for CLEO III. Computer Physics Communications. 110(1-3). 91–94.
17.
Allen, C., A. Bean, D. Besson, et al.. (1998). Status of the Radio Ice Cherenkov Experiment (RICE). New Astronomy Reviews. 42(3-4). 319–329. 5 indexed citations
18.
Allen, C., A. Bean, D. Z. Besson, et al.. (1997). Status of Radio Ice Cerenkov Experiment (RICE). International Cosmic Ray Conference. 7. 85. 1 indexed citations
19.
Anjos, J. C., J. A. Appel, A. Bean, et al.. (1993). Dalitz plot analysis of d 'SETA' k'PI''PI' decays. Physical Review D. 48(1). 48. 3 indexed citations
20.
Bezrukov, L., B. Gittelman, B. K. Heltsley, et al.. (1986). Tests of cesium iodide crystals for an electromagnetic calorimeter. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 249(2-3). 201–227. 27 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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