Andrei Tchernykh

2.9k total citations
174 papers, 1.7k citations indexed

About

Andrei Tchernykh is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Andrei Tchernykh has authored 174 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computer Networks and Communications, 98 papers in Information Systems and 49 papers in Artificial Intelligence. Recurrent topics in Andrei Tchernykh's work include Distributed and Parallel Computing Systems (51 papers), Cloud Computing and Resource Management (51 papers) and Cryptography and Data Security (30 papers). Andrei Tchernykh is often cited by papers focused on Distributed and Parallel Computing Systems (51 papers), Cloud Computing and Resource Management (51 papers) and Cryptography and Data Security (30 papers). Andrei Tchernykh collaborates with scholars based in Mexico, Russia and Uruguay. Andrei Tchernykh's co-authors include Mikhail Babenko, Gleb Radchenko, Ramin Yahyapour, Arutyun Avetisyan, Uwe Schwiegelshohn, Sergio Nesmachnow, El‐Ghazali Talbi, Jorge M. Cortés-Mendoza, Vanessa Miranda-López and Johnatan E. Pecero and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Andrei Tchernykh

154 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrei Tchernykh Mexico 22 992 974 398 254 175 174 1.7k
Jie Xu United Kingdom 26 1.9k 1.9× 1.6k 1.6× 503 1.3× 90 0.4× 136 0.8× 150 2.7k
Alberto Coen‐Porisini Italy 20 1.6k 1.6× 1.1k 1.1× 692 1.7× 82 0.3× 120 0.7× 75 2.5k
I‐Ling Yen United States 23 908 0.9× 971 1.0× 569 1.4× 58 0.2× 99 0.6× 198 1.8k
Marin Litoiu Canada 26 1.7k 1.7× 1.6k 1.7× 787 2.0× 86 0.3× 111 0.6× 162 2.3k
Javid Taheri Australia 25 2.2k 2.2× 1.2k 1.3× 241 0.6× 96 0.4× 148 0.8× 160 2.7k
Kwang Mong Sim Hong Kong 29 1.3k 1.3× 1.2k 1.2× 916 2.3× 191 0.8× 39 0.2× 110 2.7k
Alessandra Rizzardi Italy 17 1.4k 1.5× 878 0.9× 523 1.3× 72 0.3× 61 0.3× 44 2.0k
Giuliano Casale United Kingdom 29 2.3k 2.3× 1.6k 1.6× 748 1.9× 64 0.3× 123 0.7× 180 3.0k
Walter de Donato Italy 12 2.2k 2.2× 1.2k 1.3× 530 1.3× 135 0.5× 64 0.4× 23 2.7k
Fang Dong China 22 951 1.0× 703 0.7× 383 1.0× 51 0.2× 77 0.4× 193 1.5k

Countries citing papers authored by Andrei Tchernykh

Since Specialization
Citations

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

Fields of papers citing papers by Andrei Tchernykh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrei Tchernykh

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

All Works

20 of 20 papers shown
1.
Nesmachnow, Sergio, et al.. (2025). Bio-Inspired Multiobjective Optimization for Designing Content Distribution Networks. Mathematical and Computational Applications. 30(2). 45–45.
2.
Tchernykh, Andrei, et al.. (2024). Framework for Development and Execution of Scientific WorkFlows: Designing Service-Oriented Applications. Programming and Computer Software. 50(8). 900–913. 1 indexed citations
3.
Tchernykh, Andrei, et al.. (2023). An Approach to Implementing High-Performance Computing for Problem Solving in Workflow-Based Energy Infrastructure Resilience Studies. Computation. 11(12). 243–243. 2 indexed citations
4.
Rivera-Rodríguez, Raúl, et al.. (2022). A Novel Strategy for Computing Routing Paths for Software-Defined Networks Based on MOCell Optimization. Applied Sciences. 12(22). 11590–11590.
5.
Rivera-Rodríguez, Raúl, et al.. (2022). Application-Aware Flow Forwarding Service for SDN-Based Data Centers. Electronics. 11(23). 3882–3882.
6.
Tchernykh, Andrei, et al.. (2022). A novel multi-objective optimization approach to guarantee quality of service and energy efficiency in a heterogeneous bus fleet system. Engineering Optimization. 55(6). 981–997. 5 indexed citations
7.
Babenko, Mikhail, Andrei Tchernykh, Arutyun Avetisyan, et al.. (2022). Towards the Sign Function Best Approximation for Secure Outsourced Computations and Control. Mathematics. 10(12). 2006–2006. 4 indexed citations
8.
Tchernykh, Andrei, et al.. (2021). Agent-based approach to hybrid modeling queuing systems. 46–56. 1 indexed citations
9.
Nesmachnow, Sergio, et al.. (2021). Smart grid demand response strategies for datacenters. Proceedings of the Institute for System Programming of RAS. 33(2). 125–136. 1 indexed citations
10.
Babenko, Mikhail, et al.. (2020). Neural network method for base extension in residue number system. 2 indexed citations
11.
Babenko, Mikhail, et al.. (2020). Computationally secure threshold secret sharing scheme with minimal redundancy. 3 indexed citations
12.
Tchernykh, Andrei, et al.. (2019). Toolkit for simulation modeling of queue systems in Grid. 3 indexed citations
13.
Chervyakov, N.I., et al.. (2018). Reliability Improvement of Information Systems by Residue Number System Code. 9(1). 81–84. 3 indexed citations
14.
Tchernykh, Andrei, Jorge M. Cortés-Mendoza, Ramin Yahyapour, et al.. (2015). Min_c: Heterogeneous Concentration Policy for Power Aware Scheduling of Jobs with Resource Contention. MPG.PuRe (Max Planck Society). 355–380. 1 indexed citations
15.
Tchernykh, Andrei, Jorge M. Cortés-Mendoza, Ramin Yahyapour, et al.. (2015). Min_c: heterogeneous concentration policy for power aware scheduling. SHILAP Revista de lepidopterología. 27(6). 355–380. 4 indexed citations
16.
Tchernykh, Andrei, et al.. (2013). Performance Evaluation of Infrastructure as Service Clouds with SLA Constraints. Computación y Sistemas. 17(3). 401–411. 14 indexed citations
17.
Yahyapour, Ramin, et al.. (2013). Load Balancing for Parallel Computations with the Finite Element Method. Computación y Sistemas. 17(3). 299–316. 5 indexed citations
18.
Żola, Jarosław, Denis Trystram, Andrei Tchernykh, & Carlos A. Brizuela. (2006). Parallel multiple sequence alignment with local phylogeny search by simulated annealing. International Parallel and Distributed Processing Symposium. 253–253. 9 indexed citations
19.
Tchernykh, Andrei, et al.. (2006). Two level job-scheduling strategies for a computational grid. Lecture notes in computer science. 3911. 774–781. 18 indexed citations
20.
Tchernykh, Andrei, et al.. (2004). I-Structure software cache for distributed applications. SHILAP Revista de lepidopterología. 1 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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