Aleksandr Drozd

981 total citations
28 papers, 477 citations indexed

About

Aleksandr Drozd is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Aleksandr Drozd has authored 28 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Hardware and Architecture and 8 papers in Computer Networks and Communications. Recurrent topics in Aleksandr Drozd's work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Parallel Computing and Optimization Techniques (10 papers). Aleksandr Drozd is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Parallel Computing and Optimization Techniques (10 papers). Aleksandr Drozd collaborates with scholars based in Japan, United States and China. Aleksandr Drozd's co-authors include Anna Gladkova, Satoshi Matsuoka, Anna Rogers, Bofang Li, Prajjwal Bhargava, Satoshi Matsuoka, Xiaoyong Du, Tao Liu, Jens Domke and Mohamed Wahib and has published in prestigious journals such as Computing in Science & Engineering, The International Journal of High Performance Computing Applications and IEEE Transactions on Big Data.

In The Last Decade

Aleksandr Drozd

26 papers receiving 440 citations

Peers

Aleksandr Drozd
Comparison fields: 5 of 68
  • Artificial Intelligence 378
  • Computer Vision and Pattern Recognition 55
  • Information Systems 49
  • Computer Networks and Communications 38
  • Molecular Biology 29
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Juan‐Manuel Torres‐Moreno France
Shuohuan Wang China
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Rajeev Sangal India View profile →
Citations per field, relative to Aleksandr Drozd
Aleksandr Drozd · 1×
Citations per year, relative to Aleksandr Drozd
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Countries citing papers authored by Aleksandr Drozd

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandr Drozd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandr Drozd

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandr Drozd. A scholar is included among the top collaborators of Aleksandr Drozd 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 Aleksandr Drozd. Aleksandr Drozd 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 8
3 1
4 3
5 2
6 15
7 47
8 10
9 15
10 7
11 44
12
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen.
67
13 4
14 3
15 2
16 5
17 5
18 1
19 2
20 0

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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