J. Yoo

40.8k total citations
7 papers, 155 citations indexed

About

J. Yoo is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, J. Yoo has authored 7 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 2 papers in Hardware and Architecture and 2 papers in Electrical and Electronic Engineering. Recurrent topics in J. Yoo's work include Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (3 papers) and CCD and CMOS Imaging Sensors (2 papers). J. Yoo is often cited by papers focused on Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (3 papers) and CCD and CMOS Imaging Sensors (2 papers). J. Yoo collaborates with scholars based in United States, Switzerland and Estonia. J. Yoo's co-authors include R. Tomlin, W. C. Wester, H.R. Gustafson, Jason H. Steffen, P. O. Mazur, A. Baumbaugh, A. Chou, Xi Yang, Joosep Pata and Maria Girone and has published in prestigious journals such as Physical Review Letters, Nano Convergence and Journal of Physics Conference Series.

In The Last Decade

J. Yoo

5 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Yoo United States	4	142	62	54	14	14	7	155
P. Slocum United States	3	107 0.8×	60 1.0×	44 0.8×	14 1.0×	11 0.8×	8	120
J. Boyce United States	3	101 0.7×	61 1.0×	40 0.7×	12 0.9×	11 0.8×	4	116
Béla Majorovits Germany	3	267 1.9×	104 1.7×	147 2.7×	13 0.9×	11 0.8×	7	281
Sumit Ghosh United States	9	270 1.9×	38 0.6×	84 1.6×	14 1.0×	5 0.4×	14	274
J. H. Jeong South Korea	7	197 1.4×	95 1.5×	88 1.6×	16 1.1×	2 0.1×	19	211
S. Al Kenany United States	3	225 1.6×	114 1.8×	114 2.1×	22 1.6×	6 0.4×	3	244
L. Barak Israel	2	123 0.9×	50 0.8×	51 0.9×	4 0.3×	4 0.3×	5	132
Saebyeok Ahn South Korea	5	186 1.3×	81 1.3×	92 1.7×	9 0.6×	5 0.4×	12	194
N. M. Rapidis United States	4	229 1.6×	117 1.9×	118 2.2×	23 1.6×	6 0.4×	8	251
B. Heinemann Germany	6	245 1.7×	17 0.3×	70 1.3×	15 1.1×	2 0.1×	10	256

Countries citing papers authored by J. Yoo

Since Specialization

Citations

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

Fields of papers citing papers by J. Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of J. Yoo. A scholar is included among the top collaborators of J. Yoo 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 J. Yoo. J. Yoo 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:

7 of 7 papers shown

1.

Yoo, J., et al.. (2025). Trapped-ion based nanoscale quantum sensing. Nano Convergence. 12(1). 12–12. 3 indexed citations

2.

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.

3.

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

4.

Pata, Joosep, J. Duarte, Farouk Mokhtar, et al.. (2023). Machine Learning for Particle Flow Reconstruction at CMS. Journal of Physics Conference Series. 2438(1). 12100–12100. 9 indexed citations

5.

Cooper, R. L., F. DeJongh, A. Empl, et al.. (2014). A method for measuring coherent elastic neutrino-nucleus scattering at a far off-axis high-energy neutrino beam target. Physical review. D. Particles, fields, gravitation, and cosmology. 89(7). 24 indexed citations

6.

Bolozdynya, A., D. M. Markoff, K. Scholberg, et al.. (2012). Opportunities for Neutrino Physics at the Spallation Neutron Source: A White Paper. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

7.

Chou, A., W. C. Wester, A. Baumbaugh, et al.. (2008). Search for Axionlike Particles Using a Variable-Baseline Photon-Regeneration Technique. Physical Review Letters. 100(8). 80402–80402. 114 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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