E. Kuznetsova

20 papers receiving 100 citations

Peers

E. Kuznetsova
Comparison fields: 5 of 44
  • Radiation 23
  • Nuclear and High Energy Physics 21
  • Industrial and Manufacturing Engineering 16
  • Aquatic Science 10
  • General Materials Science 4
Replace S. T. French with:
S. T. French United Kingdom
H. Furuta Japan
K. H. Kang South Korea
Xue Zhou Jin Germany
A. Corvaglia Italy
K. Shibanuma Japan
Liang Qiao China
Antonio Froio Italy
D. Cutts United States
G. M. Galassi Italy
E. Kuznetsova relative to S. T. French United Kingdom S. T. French's profile →
Citations per field
00.5×1.5×
S. T. French · 1×
Citations per year

Countries citing papers authored by E. Kuznetsova

Since Specialization
Citations

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

Fields of papers citing papers by E. Kuznetsova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Kuznetsova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Kuznetsova Line = papers co-authored together E. Kuznetsova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201819
2 201415
3 201812
4 201811
5 200211
6 20038
7 20234
8 20024
9 20024
10 20203
11 20083
12 20223
13 20242
14 20222
15 20251
16
Design considerations for the very forward calorimeter (LCAL) of the TESLA detector
20021
17 20231
18 20031
19 20101
20 20231

About E. Kuznetsova

E. Kuznetsova is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering, Radiation, Mechanics of Materials and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 107 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (6 papers), Radiation Detection and Scintillator Technologies (3 papers), Fusion materials and technologies (3 papers), Particle physics theoretical and experimental studies (3 papers), Superconducting Materials and Applications (2 papers), Neutrino Physics Research (2 papers), Medical Imaging Techniques and Applications (2 papers) and Engineering Technology and Methodologies (2 papers). The work is most often cited by research in Radiation (23 citations), Nuclear and High Energy Physics (21 citations), Industrial and Manufacturing Engineering (16 citations), Aquatic Science (10 citations) and General Materials Science (4 citations). E. Kuznetsova has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include L. N. Rabinskiy, Pavel Kurbatov, G. Gavrilov, Pavel Dergachev, A. Krivchitch, S. N. Vassilyev, Л. И. Могилевич, T. Ferguson, В. М. Лебедев and V. P. Maleev. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Molecular Aspects of Medicine, The Journal of Urology, IEEE Transactions on Magnetics and Key engineering materials.

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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