Alexey Pak

996 total citations
28 papers, 509 citations indexed

About

Alexey Pak is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Alexey Pak has authored 28 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Alexey Pak's work include Particle physics theoretical and experimental studies (13 papers), Quantum Chromodynamics and Particle Interactions (10 papers) and High-Energy Particle Collisions Research (8 papers). Alexey Pak is often cited by papers focused on Particle physics theoretical and experimental studies (13 papers), Quantum Chromodynamics and Particle Interactions (10 papers) and High-Energy Particle Collisions Research (8 papers). Alexey Pak collaborates with scholars based in Germany, Russia and Canada. Alexey Pak's co-authors include Matthias Steinhauser, Andrzej Czarnecki, Alexander V. Smirnov, Jens Hoff, Takahiro Ueda, Nikolai Zerf, Jan Burke, Sebastian Höfer, Jürgen Beyerer and V. G. Serbo and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Sensors.

In The Last Decade

Alexey Pak

24 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexey Pak Germany	11	433	42	38	22	21	28	509
V. A. Nechitaǐlo Russia	10	152 0.4×	28 0.7×	16 0.4×	11 0.5×	11 0.5×	26	272
Dirk Graudenz Germany	12	563 1.3×	9 0.2×	75 2.0×	17 0.8×	23 1.1×	18	687
Frank Gaede Germany	12	428 1.0×	45 1.1×	21 0.6×	45 2.0×	5 0.2×	39	526
I. Kisel Germany	9	238 0.5×	11 0.3×	9 0.2×	15 0.7×	12 0.6×	61	328
Mitchell Golden United States	15	1000 2.3×	12 0.3×	233 6.1×	16 0.7×	19 0.9×	30	1.0k
В. В. Макеев Russia	9	138 0.3×	14 0.3×	5 0.1×	37 1.7×	8 0.4×	63	284
T. Golling Switzerland	13	336 0.8×	19 0.5×	58 1.5×	18 0.8×	6 0.3×	34	388
N. F. Castro Portugal	13	279 0.6×	16 0.4×	33 0.9×	17 0.8×	23 1.1×	38	460
Juan Pavez Chile	7	187 0.4×	22 0.5×	26 0.7×	36 1.6×	10 0.5×	14	314
J. E. García Navarro Spain	8	123 0.3×	25 0.6×	25 0.7×	14 0.6×	25 1.2×	24	224

Countries citing papers authored by Alexey Pak

Since Specialization

Citations

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

Fields of papers citing papers by Alexey Pak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Pak

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

All Works

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20 of 20 papers shown

Pak, Alexey, et al.. (2024). Comparative analysis of PROMETHEUS methods and fuzzy relations in decision-making conditions. Modeling of systems and processes. 17(1). 42–56.

Burke, Jan, et al.. (2023). Deflectometry for specular surfaces: an overview. Advanced Optical Technologies. 12. 29 indexed citations

Reichel, Steffen, et al.. (2023). Camera calibration as machine learning problem using dense phase shifting pattern, checkerboards, and different cameras. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 51–51. 1 indexed citations

Fuchs, Alexander, Christian Knoll, Alexey Pak, et al.. (2023). Self-Attention for Enhanced OAMP Detection in MIMO Systems. 33. 1–5.

Pak, Alexey, Steffen Reichel, & Jan Burke. (2022). Machine-Learning-Inspired Workflow for Camera Calibration. Sensors. 22(18). 6804–6804. 3 indexed citations

Mchedlidze, Tamara, et al.. (2019). Aesthetic Discrimination of Graph Layouts. Journal of Graph Algorithms and Applications. 23(3). 525–552. 2 indexed citations

Pak, Alexey, et al.. (2016). Integration of project management, human resource development, and business teams: a partnership, planning model for organizational training and development initiatives. Human Resource Development International. 19(3). 245–260. 7 indexed citations

Pak, Alexey. (2016). The concept and implementation of smooth generic camera calibration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3 indexed citations

Pak, Alexey. (2014). Stability of absolute depth reconstruction from deflectometric measurement data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9203. 92030E–92030E. 1 indexed citations

10.

Hoff, Jens, et al.. (2013). MT: A Mathematica package to compute convolutions. Computer Physics Communications. 185(2). 528–539. 24 indexed citations

11.

Pak, Alexey. (2013). Reconstruction of specular surfaces via probabilistic voxel carving. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8791. 87911B–87911B. 1 indexed citations

12.

Pak, Alexey, Matthias Steinhauser, & Nikolai Zerf. (2012). Supersymmetric next-to-next-to-leading order corrections to Higgs boson production in gluon fusion. Journal of High Energy Physics. 2012(9). 11 indexed citations

13.

Pak, Alexey. (2012). Recovering shapes of specular objects in motion via normal vector map consistency. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8493. 84930T–84930T. 2 indexed citations

14.

Pak, Alexey, et al.. (2011). Production of scalar and pseudo-scalar Higgs bosons to next-to-next-to-leading order at hadron colliders. Journal of High Energy Physics. 2011(9). 53 indexed citations

15.

Pak, Alexey, Matthias Steinhauser, & Nikolai Zerf. (2010). Higgs boson production in gluon fusion to NNLO in the MSSM. 1 indexed citations

16.

Pak, Alexey, et al.. (2009). Virtual three-loop corrections to Higgs boson production in gluon fusion for finite top quark mass. Physics Letters B. 679(5). 473–477. 67 indexed citations

17.

Pak, Alexey & Andrzej Czarnecki. (2008). Mass Effects in Muon and Semileptonicb→cDecays. Physical Review Letters. 100(24). 241807–241807. 65 indexed citations

18.

Pak, Alexey & Andrzej Czarnecki. (2008). Heavy-to-heavy quark decays at next-to-next-to-leading order. Physical review. D. Particles, fields, gravitation, and cosmology. 78(11). 36 indexed citations

19.

Pak, Alexey, et al.. (2008). Semileptonicbdecay at intermediate recoil. Physical review. D. Particles, fields, gravitation, and cosmology. 78(7). 6 indexed citations

20.

Pak, Alexey, Ian Blokland, & Andrzej Czarnecki. (2006). Two-loop QCD corrections to semileptonicb-quark decays near maximum recoil. Physical review. D. Particles, fields, gravitation, and cosmology. 73(11). 5 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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