Oleksandr Tkachenko

940 citations
12 papers · 410 · h-index 7

Impact in

    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Adversarial Robustness in Machine Learning
    • Stochastic Gradient Optimization Techniques
    • Internet Traffic Analysis and Secure E-voting

Papers in

Oleksandr Tkachenko

12 papers receiving 398 citations

Peers

Oleksandr Tkachenko
Comparison fields: 5 of 52
  • Artificial Intelligence 360
  • Health Informatics 8
  • Computer Science Applications 20
  • Information Systems 68
  • Hardware and Architecture 12
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Citations per field
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Citations per year

Countries citing papers authored by Oleksandr Tkachenko

Since Specialization
Citations

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

Fields of papers citing papers by Oleksandr Tkachenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Oleksandr Tkachenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Oleksandr Tkachenko Line = papers co-authored together Oleksandr Tkachenko links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2018227
2 201939
3 201932
4 202230
5 201926
6 201821
7 201816
8 20186
9 20195
10 20234
11 20242
12 20202

About Oleksandr Tkachenko

Oleksandr Tkachenko is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 12 papers that have together received 410 indexed citations. Recurring topics across this work include Cryptography and Data Security (10 papers), Privacy-Preserving Technologies in Data (8 papers), Indoor and Outdoor Localization Technologies (2 papers), Blockchain Technology Applications and Security (2 papers), Complexity and Algorithms in Graphs (2 papers), Distributed systems and fault tolerance (1 paper), Economic Issues in Ukraine (1 paper) and Distributed Sensor Networks and Detection Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (360 citations), Health Informatics (8 citations), Computer Science Applications (20 citations), Information Systems (68 citations) and Hardware and Architecture (12 citations). Oleksandr Tkachenko has collaborated with scholars based in Germany, Finland and Denmark. Frequent co-authors include Thomas Schneider, Christian Weinert, Ebrahim M. Songhori, Farinaz Koushanfar, M. Sadegh Riazi, Daniel Demmler, Kimmo Järvinen, Zheng Yang, Elena Simona Lohan and Philipp Richter. Their work appears in journals such as ACM Transactions on Privacy and Security, IET Information Security, Työväentutkimus Vuosikirja, Zenodo (CERN European Organization for Nuclear Research) and TUbilio (Technical University of Darmstadt).

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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