A.I. Galushkin

524 total citations
16 papers, 308 citations indexed

About

A.I. Galushkin is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, A.I. Galushkin has authored 16 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Control and Systems Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in A.I. Galushkin's work include Neural Networks and Applications (7 papers), Advanced Data Processing Techniques (5 papers) and Advanced Memory and Neural Computing (3 papers). A.I. Galushkin is often cited by papers focused on Neural Networks and Applications (7 papers), Advanced Data Processing Techniques (5 papers) and Advanced Memory and Neural Computing (3 papers). A.I. Galushkin collaborates with scholars based in Russia. A.I. Galushkin's co-authors include Sergey Shchanikov and has published in prestigious journals such as Cybernetics and Systems Analysis, CERN Document Server (European Organization for Nuclear Research) and Springer eBooks.

In The Last Decade

A.I. Galushkin

13 papers receiving 293 citations

Peers

A.I. Galushkin

AI

EEE

CSE

CNC

CVPR

Minghai Yao China

E.M. Jordaan Netherlands

Yan Xiong China

Waleed Yamany Egypt

Fernando Gaxiola Mexico

Marjan Abdechiri Iran

Cosmin Păduraru Canada

Corporate Ieee

Dang-Hai Pham Vietnam

Zhongqin Bi China

Minghai Yao China

A.I. Galushkin

117 ×1.1

AI

49 ×0.6

EEE

37 ×0.5

CSE

46 ×1.1

CNC

52 ×1.4

CVPR

Citations per year, relative to A.I. Galushkin A.I. Galushkin (= 1×) peers Minghai Yao

Countries citing papers authored by A.I. Galushkin

Since Specialization

Citations

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

Fields of papers citing papers by A.I. Galushkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.I. Galushkin

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Galushkin, A.I., et al.. (2015). A Hybrid Clustering Algorithm: The FastDBSCAN. 69–74. 5 indexed citations

2.

Shchanikov, Sergey, et al.. (2015). The research of memristor-based neural network components operation accuracy in control and communication systems. 17. 1–6. 20 indexed citations

3.

Galushkin, A.I.. (2014). Neural Networks Realizations Using Memristors. 23. 77–81. 8 indexed citations

4.

Galushkin, A.I., et al.. (2014). Neural network technologies for information systems security. 56. 1–5. 4 indexed citations

5.

Galushkin, A.I., et al.. (2014). Quantitative determination of fault tolerance for neuronetwork devices of infocommunication systems. 328–329. 2 indexed citations

6.

Galushkin, A.I.. (2007). Neural Network Theory. Springer eBooks. 41 indexed citations

7.

Galushkin, A.I.. (2007). Neural Networks Theory. CERN Document Server (European Organization for Nuclear Research). 101 indexed citations

8.

Galushkin, A.I., et al.. (2007). «Neuromathematics» - Open platform to accelerate complex applied math problems solutions using neural network algorithms. IEEE International Conference on Neural Networks. 1157–1161. 2 indexed citations

9.

Galushkin, A.I.. (2007). Neural Networks Theory. 109 indexed citations

10.

Galushkin, A.I.. (1992). Neurocomputers and neuromathematics. 1189–1200 vol.2. 3 indexed citations

11.

Galushkin, A.I.. (1992). Continual neural networks. 1056–1067 vol.2.

12.

Galushkin, A.I., et al.. (1992). Custom-made digital neurochip. 595–606 vol.1.

13.

Galushkin, A.I., et al.. (1992). Neuromathematics: the methods of solving problems on neurocomputers. 1179–1188 vol.2. 2 indexed citations

14.

Galushkin, A.I., et al.. (1992). Adaptive neural network algorithm for solving linear algebra problems. 52. 128–138 vol.1. 1 indexed citations

15.

Galushkin, A.I., et al.. (1992). Neural network expert system. 1116–1123 vol.2. 10 indexed citations

16.

Galushkin, A.I., et al.. (1990). Assessment of reconfiguring algorithms for MIMD architectures. Cybernetics and Systems Analysis. 26(2). 184–193.

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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