Rustam Mussabayev

453 total citations
30 papers, 129 citations indexed

About

Rustam Mussabayev is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Rustam Mussabayev has authored 30 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 6 papers in Signal Processing and 5 papers in Information Systems. Recurrent topics in Rustam Mussabayev's work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Advanced Text Analysis Techniques (7 papers). Rustam Mussabayev is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Advanced Text Analysis Techniques (7 papers). Rustam Mussabayev collaborates with scholars based in Kazakhstan, Russia and United States. Rustam Mussabayev's co-authors include Nenad Mladenović, Bassem Jarboui, Alexander Gelbukh, Ravil I. Mukhamediev, Kirill Yakunin, P. Zadorozhny, Vladimir Barakhnin, Yan Kuchin, Yelena Popova and Leyla Djansugurova and has published in prestigious journals such as Scientific Reports, IEEE Access and Pattern Recognition.

In The Last Decade

Rustam Mussabayev

24 papers receiving 115 citations

Peers

Rustam Mussabayev
Comparison fields: 5 of 64
  • Artificial Intelligence 74
  • Information Systems 23
  • Signal Processing 21
  • Computer Vision and Pattern Recognition 15
  • Sociology and Political Science 9
Replace Lujun Zhao with:
Lujun Zhao China
Yancheng He China
Christos Louizos Netherlands
Chenglei Si United States
Shikhar Vashishth India
Zhuofeng Wu United States
Karl Pichotta United States
Yichen Jiang United States
Natthawut Kertkeidkachorn Japan
Sho Takase Japan
Lujun Zhao China View profile →
Citations per field, relative to Rustam Mussabayev
Rustam Mussabayev · 1×
Citations per year, relative to Rustam Mussabayev
Rustam Mussabayev · 1×

Countries citing papers authored by Rustam Mussabayev

Since Specialization
Citations

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

Fields of papers citing papers by Rustam Mussabayev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rustam Mussabayev

This figure shows the co-authorship network connecting the top 25 collaborators of Rustam Mussabayev. A scholar is included among the top collaborators of Rustam Mussabayev 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 Rustam Mussabayev. Rustam Mussabayev 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
# Work Indexed citations
1 0
2 12
3 4
4 0
5 1
6 1
7 0
8 2
9 2
10 1
11 1
12 6
13 40
14 4
15 6
16
Voted-Perceptron Approach for Kazakh Morphological Disambiguation
3
17 14
18
An Open-Source Lemmatizer for Russian Language based on Tree Regression Models.
1
19 3
20 5

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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