Yulia Furletova

1.3k total citations
11 papers, 55 citations indexed

About

Yulia Furletova is a scholar working on Nuclear and High Energy Physics, Radiation and Electrical and Electronic Engineering. According to data from OpenAlex, Yulia Furletova has authored 11 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nuclear and High Energy Physics, 4 papers in Radiation and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Yulia Furletova's work include Particle physics theoretical and experimental studies (8 papers), High-Energy Particle Collisions Research (6 papers) and Particle Detector Development and Performance (6 papers). Yulia Furletova is often cited by papers focused on Particle physics theoretical and experimental studies (8 papers), High-Energy Particle Collisions Research (6 papers) and Particle Detector Development and Performance (6 papers). Yulia Furletova collaborates with scholars based in United States and Germany. Yulia Furletova's co-authors include S. Furletov, T. J. Hobbs, M. Arratia, Fred Olness, S. J. Sekula, C. E. Hyde-Wright, L. Pentchev, D. W. Higinbotham, H. Fenker and D. Romanov and has published in prestigious journals such as Physical review. D, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Physical review. C.

In The Last Decade

Yulia Furletova

8 papers receiving 55 citations

Peers

Yulia Furletova
M. Bishai United States
T. Köttig Germany
F. Erhardt Croatia
R. Adak India
J. Busto France
C. A. Ur Italy
A. Sarrat France
E. Cheu United States
M. Bishai United States
Yulia Furletova
Citations per year, relative to Yulia Furletova Yulia Furletova (= 1×) peers M. Bishai

Countries citing papers authored by Yulia Furletova

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Furletova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulia Furletova

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

All Works

11 of 11 papers shown
1.
Furletov, S., Fernando Barbosa, Lee A. Belfore, et al.. (2022). Machine learning on FPGA for event selection. Journal of Instrumentation. 17(6). C06009–C06009. 3 indexed citations
2.
Hauenstein, F., A. Jentsch, J.R. Pybus, et al.. (2022). Measuring recoiling nucleons from the nucleus with the future Electron Ion Collider. Physical review. C. 105(3). 5 indexed citations
3.
Arratia, M., Yulia Furletova, T. J. Hobbs, Fred Olness, & S. J. Sekula. (2021). Charm jets as a probe for strangeness at the future Electron-Ion Collider. Physical review. D. 103(7). 20 indexed citations
4.
Sekula, S. J., M. Arratia, Yulia Furletova, T. J. Hobbs, & Fred Olness. (2020). Charm jets as a probe for strangeness at the future Electron-Ion Collider. Bulletin of the American Physical Society. 2020. 2 indexed citations
5.
Barbosa, Fernando, H. Fenker, S. Furletov, et al.. (2019). A new Transition Radiation detector based on GEM technology. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 942. 162356–162356. 9 indexed citations
6.
Furletova, Yulia & Sonny Mantry. (2018). Using polarized positrons to probe physics beyond the standard model. AIP conference proceedings. 1970. 30005–30005.
7.
Furletova, Yulia. (2018). Heavy flavor production and large-x nuclear gluons at EIC. 188.
8.
Chudakov, E., D. W. Higinbotham, C. E. Hyde-Wright, et al.. (2016). Probing nuclear gluons with heavy flavors at an Electron-Ion Collider. ODU Digital Commons (Old Dominion University). 143–143. 4 indexed citations
9.
Chudakov, E., D. W. Higinbotham, C. E. Hyde-Wright, et al.. (2016). Heavy Quark Production at an Electron-Ion Collider. Journal of Physics Conference Series. 770. 12042–12042. 6 indexed citations
10.
Furletov, S. & Yulia Furletova. (2012). Geant4 simulation of transition radiation detector based on DEPFET silicon pixel matrices. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 706. 73–78.
11.
Furletova, Yulia & S. Furletov. (2010). New transition radiation detection technique based on DEPFET silicon pixel matrices. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 628(1). 309–314. 6 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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