D. Budnikov

20.1k citations
5 papers · 51 · h-index 4

Impact in

Papers in

D. Budnikov

5 papers receiving 50 citations

Peers

D. Budnikov
Comparison fields: 5 of 21
  • Nuclear and High Energy Physics 19
  • Hardware and Architecture 9
  • Computer Vision and Pattern Recognition 20
  • Radiation 7
  • Computer Networks and Communications 7
Replace J. Gläß with:
J. Gläß Germany
N. V. Biesuz Italy
S. Popa Romania
E. Gottschalk United States
Saverio Citraro Italy
Alexander Spiridonov Russia
A. Rose United Kingdom
M. Campbell United States
K. Unger Germany
W. Rinaldi Italy
D. Budnikov relative to J. Gläß Germany J. Gläß's profile →
Citations per field
00.5×2.9×
J. Gläß · 1×
Citations per year

Countries citing papers authored by D. Budnikov

Since Specialization
Citations

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

Fields of papers citing papers by D. Budnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside D. Budnikov, 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 D. Budnikov Line = papers co-authored together D. Budnikov links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 200726
2 200312
3 20066
4 20145
5
Demonstrating Performance Portability of A Custom OpenCL Data Mining Application to the Intel(R) Xeon Phi(TM) Coprocessor
20132

About D. Budnikov

D. Budnikov is a scholar working on Radiation, Electrical and Electronic Engineering, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 5 papers that have together received 51 indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (2 papers), Particle Detector Development and Performance (2 papers), CCD and CMOS Imaging Sensors (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Nuclear Physics and Applications (1 paper), Advanced Semiconductor Detectors and Materials (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Particle accelerators and beam dynamics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (19 citations), Hardware and Architecture (9 citations), Computer Vision and Pattern Recognition (20 citations), Radiation (7 citations) and Computer Networks and Communications (7 citations). D. Budnikov has collaborated with scholars based in Russia, Switzerland and Norway. Frequent co-authors include Christopher J. Hughes, Yen-Kuang Chen, Zhongbao Yin, D. Röhrich, L. Musa, I. Sibiriak, Bernhard Skaali, H. Müller, I. Sibiryak and M. Ippolitov. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Instruments and Experimental Techniques and mediaTUM (Technical University of Munich).

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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