I. А. Hodashinsky

412 total citations
61 papers, 243 citations indexed

About

I. А. Hodashinsky is a scholar working on Artificial Intelligence, Control and Systems Engineering and Food Science. According to data from OpenAlex, I. А. Hodashinsky has authored 61 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 12 papers in Control and Systems Engineering and 10 papers in Food Science. Recurrent topics in I. А. Hodashinsky's work include Fuzzy Logic and Control Systems (30 papers), Metaheuristic Optimization Algorithms Research (14 papers) and Neural Networks and Applications (11 papers). I. А. Hodashinsky is often cited by papers focused on Fuzzy Logic and Control Systems (30 papers), Metaheuristic Optimization Algorithms Research (14 papers) and Neural Networks and Applications (11 papers). I. А. Hodashinsky collaborates with scholars based in Russia and Türkiye. I. А. Hodashinsky's co-authors include Alexander Shelupanov, Emrah Hançer, Roman Meshcheryakov, Б. Н. Козлов, Oleg Evsutin, В. М. Шипулин, И. Н. Смирнова, A. V. Medovnik and В. Волков and has published in prestigious journals such as Soft Computing, Symmetry and Key engineering materials.

In The Last Decade

I. А. Hodashinsky

55 papers receiving 226 citations

Peers

I. А. Hodashinsky
Marika Kaden Germany
Shijie Li China
N. Wakami Japan
Ürün Doǧan United States
Yuyang Liu China
Mahmoud Assran Canada
Mohammed Amine Chikh Algeria
Yingke Chen China
Infall Syafalni Indonesia
Marika Kaden Germany
I. А. Hodashinsky
Citations per year, relative to I. А. Hodashinsky I. А. Hodashinsky (= 1×) peers Marika Kaden

Countries citing papers authored by I. А. Hodashinsky

Since Specialization
Citations

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

Fields of papers citing papers by I. А. Hodashinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. А. Hodashinsky. 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 I. А. Hodashinsky. The network helps show where I. А. Hodashinsky may publish in the future.

Co-authorship network of co-authors of I. А. Hodashinsky

This figure shows the co-authorship network connecting the top 25 collaborators of I. А. Hodashinsky. A scholar is included among the top collaborators of I. А. Hodashinsky 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 I. А. Hodashinsky. I. А. Hodashinsky 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.
Hodashinsky, I. А., et al.. (2024). Fuzzy Min-Max Classifier in Cybersecurity Applications. Automatic Documentation and Mathematical Linguistics. 58(5). 299–309.
2.
Hodashinsky, I. А.. (2024). Population Diversity Management of Swallow Swarm Optimization Algorithm for Fuzzy Classification Problem. Automatic Documentation and Mathematical Linguistics. 58(3). 182–187.
3.
4.
Hodashinsky, I. А., et al.. (2023). A three-stage fuzzy classifier method for Parkinson’s disease diagnosis using dynamic handwriting analysis. Decision Analytics Journal. 8. 100274–100274. 12 indexed citations
5.
Hodashinsky, I. А., et al.. (2023). Method for finding subsets of consensus features in predicting the effectiveness of rehabilitation of patients after COVID-19. Siberian Journal of Clinical and Experimental Medicine. 38(4). 270–279.
6.
Hodashinsky, I. А., et al.. (2022). Setting a rule base for a fuzzy classifier using the grasshopper optimization algorithm and the clustering algorithm. Proceedings of Tomsk State University of Control Systems and Radioelectronics. 25(2). 31–36. 1 indexed citations
7.
8.
Hodashinsky, I. А., et al.. (2021). Building a Fuzzy Classifier Based on Whale Optimization Algorithm to Detect Network Intrusions. Symmetry. 13(7). 1211–1211. 11 indexed citations
9.
Hodashinsky, I. А., et al.. (2021). Hybrid Algorithm for Tuning Feature Weights in a Fuzzy Classifier. 1 indexed citations
10.
Hodashinsky, I. А., et al.. (2021). Algorithm to forming a rule base for a fuzzy classifier designed on the basis of the K-means clustering algorithm and the whale optimization algorithm. Proceedings of Tomsk State University of Control Systems and Radioelectronics. 24(1). 42–47. 2 indexed citations
11.
Hodashinsky, I. А., et al.. (2021). Formation of Fuzzy Classifier Structure by a Combination of the Class Extremum Algorithm and the Shuffled Frog Leaping Algorithm for Imbalanced Data with Two Classes. Optoelectronics Instrumentation and Data Processing. 57(4). 378–387. 3 indexed citations
12.
Hodashinsky, I. А., et al.. (2020). Optimization of fuzzy classifier parameters with a combination of gravitational search algorithm and shuffled frog leaping algorithm. Journal of Physics Conference Series. 1611(1). 12068–12068. 1 indexed citations
13.
Hodashinsky, I. А., et al.. (2019). Gravitational Search For Designing A Fuzzy Rule-Based Classifiers For Handwritten Signature Verification. Journal of Communications Software and Systems. 15(3). 2 indexed citations
14.
Hodashinsky, I. А., et al.. (2018). A Fuzzy Classifier with Feature Selection Based on the Gravitational Search Algorithm. Symmetry. 10(11). 609–609. 21 indexed citations
15.
Козлов, Б. Н., et al.. (2018). Prevention of hemorrhagic complications during operations on the thoracic aorta. Russian Journal of Cardiology. 70–76. 2 indexed citations
16.
Hodashinsky, I. А., et al.. (2018). Dynamic-signature-based user authentication using a fuzzy classifier. Computer Optics. 42(4). 657–666. 5 indexed citations
17.
Hodashinsky, I. А., et al.. (2017). Identification of fuzzy classifiers based on gravitational search algorithm. Proceedings of Tomsk State University of Control Systems and Radioelectronics. 20(2). 84–87. 1 indexed citations
18.
Hodashinsky, I. А., et al.. (2017). Krill herd and piecewise-linear initialization algorithms for designing Takagi–Sugeno systems. Optoelectronics Instrumentation and Data Processing. 53(4). 379–387. 2 indexed citations
19.
20.
Hodashinsky, I. А., et al.. (2013). Algorithms of the tradeoff between accuracy and complexity in the design of fuzzy approximators. Optoelectronics Instrumentation and Data Processing. 49(6). 569–577. 11 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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