Iakov Korovin

682 total citations
67 papers, 322 citations indexed

About

Iakov Korovin is a scholar working on Ocean Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Iakov Korovin has authored 67 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ocean Engineering, 18 papers in Control and Systems Engineering and 17 papers in Computer Networks and Communications. Recurrent topics in Iakov Korovin's work include Oil and Gas Production Techniques (17 papers), Reservoir Engineering and Simulation Methods (14 papers) and Advanced Data Processing Techniques (13 papers). Iakov Korovin is often cited by papers focused on Oil and Gas Production Techniques (17 papers), Reservoir Engineering and Simulation Methods (14 papers) and Advanced Data Processing Techniques (13 papers). Iakov Korovin collaborates with scholars based in Russia, United Kingdom and China. Iakov Korovin's co-authors include Gerald Schaefer, Seyed Jalaleddin Mousavirad, Sergey Gorbachev, Jinde Cao, Seyed Mohammad Jafar Jalali, Chengdong Yang, Yan Xu, Mohamed Abd Elfattah, Aboul Ella Hassanien and Hui Ge and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Neural Networks.

In The Last Decade

Iakov Korovin

60 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iakov Korovin Russia 10 93 88 87 63 37 67 322
Naresh Iyer United States 11 81 0.9× 23 0.3× 58 0.7× 30 0.5× 36 1.0× 31 284
Nayat Sánchez-Pi Brazil 9 154 1.7× 61 0.7× 40 0.5× 22 0.3× 46 1.2× 36 335
Marjan Abdechiri Iran 10 155 1.7× 39 0.4× 33 0.4× 19 0.3× 55 1.5× 16 312
Ryan Mackey United States 11 136 1.5× 61 0.7× 169 1.9× 14 0.2× 22 0.6× 38 344
Yan Xiong China 12 186 2.0× 24 0.3× 51 0.6× 14 0.2× 42 1.1× 32 293
Maowei He China 10 111 1.2× 32 0.4× 45 0.5× 9 0.1× 44 1.2× 40 430
Xiaoxiao Liu China 10 40 0.4× 77 0.9× 12 0.1× 34 0.5× 62 1.7× 44 356
Pangao Kou China 8 198 2.1× 18 0.2× 120 1.4× 20 0.3× 50 1.4× 12 373
Huaguang Zhang China 4 75 0.8× 95 1.1× 83 1.0× 9 0.1× 28 0.8× 6 382

Countries citing papers authored by Iakov Korovin

Since Specialization
Citations

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

Fields of papers citing papers by Iakov Korovin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iakov Korovin

This figure shows the co-authorship network connecting the top 25 collaborators of Iakov Korovin. A scholar is included among the top collaborators of Iakov Korovin 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 Iakov Korovin. Iakov Korovin 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.
Yang, Yang, et al.. (2024). Event-triggered approximately optimized formation control of multi-agent systems with unknown disturbances via simplified reinforcement learning. Applied Mathematics and Computation. 489. 129149–129149. 1 indexed citations
2.
Korovin, Iakov, et al.. (2023). Distributed adaptive neural network consensus control of fractional-order multi-agent systems with unknown control directions. Information Sciences. 655. 119871–119871. 14 indexed citations
3.
Guo, Luyao, et al.. (2023). Neurodynamic approaches for multi-agent distributed optimization. Neural Networks. 169. 673–684. 5 indexed citations
4.
Liu, Ping, et al.. (2022). Multi-agent based optimal equilibrium selection with resilience constraints for traffic flow. Neural Networks. 155. 308–317. 1 indexed citations
5.
Korovin, Iakov, et al.. (2022). Time Perception and Time Management during COVID-19 Pandemic Lockdown. International Journal of Cognitive Research in Science Engineering and Education. 10(1). 57–69. 4 indexed citations
6.
Mousavirad, Seyed Jalaleddin, et al.. (2021). An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 176–181. 4 indexed citations
7.
Mousavirad, Seyed Jalaleddin, et al.. (2021). MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–6. 2 indexed citations
8.
Mousavirad, Seyed Jalaleddin, Gerald Schaefer, Seyed Mohammad Jafar Jalali, & Iakov Korovin. (2020). A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training. 1402–1408. 31 indexed citations
9.
Mousavirad, Seyed Jalaleddin, Gerald Schaefer, Leila Esmaeili, & Iakov Korovin. (2020). On Improvements of the Human Mental Search Algorithm for Global Optimisation. 1–8. 6 indexed citations
10.
Korovin, Iakov, et al.. (2019). Multiagent Resource Dispatching in a Heterogeneous Cloud Environment. 1 indexed citations
11.
Mousavirad, Seyed Jalaleddin, Gerald Schaefer, & Iakov Korovin. (2019). A Global-Best Guided Human Mental Search Algorithm with Random Clustering Strategy. 7 indexed citations
12.
Korovin, Iakov, et al.. (2018). Oil Fields Monitoring by Groups of Mobile Micro-robots Using Distributed Neural Networks. 14. 588–593. 3 indexed citations
13.
Korovin, Iakov, et al.. (2018). A Failure Prediction Method for Oil Field Complex Technical Objects. 2016. 594–598. 1 indexed citations
14.
Korovin, Iakov, et al.. (2018). New Method of Improving the Quality of Single Images in a Video Sequence. DEStech Transactions on Computer Science and Engineering. 2 indexed citations
15.
Korovin, Iakov, et al.. (2018). Improvement of a Video Sequence Singular Image. 12–15.
16.
Korovin, Iakov, et al.. (2017). Software & hardware platform for Digital Oilfield system organization (Russian). Neftyanoe khozyaystvo - Oil Industry. 2017(1). 84–87. 3 indexed citations
17.
Korovin, Iakov, et al.. (2017). A novel method for distribution of goals among UAVs for oil field monitoring. 1–4. 9 indexed citations
18.
Korovin, Iakov, et al.. (2016). Artificial intelligence hybrid methods application in the task of the heavy oilfields profitability increase (Russian). 2016(1). 106–109. 6 indexed citations
19.
Сухинов, А. И., et al.. (2016). Modelling of oil spill spread. 1134–1139. 7 indexed citations
20.
Korovin, Iakov, et al.. (2014). Method of obtaining unnoise image on the basis of video sequence handling. Computer Optics. 38(1). 112–117. 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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