Jevgenijus Toldinas

740 total citations
33 papers, 460 citations indexed

About

Jevgenijus Toldinas is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jevgenijus Toldinas has authored 33 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 15 papers in Artificial Intelligence and 14 papers in Information Systems. Recurrent topics in Jevgenijus Toldinas's work include Advanced Malware Detection Techniques (12 papers), Digital and Cyber Forensics (9 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Jevgenijus Toldinas is often cited by papers focused on Advanced Malware Detection Techniques (12 papers), Digital and Cyber Forensics (9 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Jevgenijus Toldinas collaborates with scholars based in Lithuania and Norway. Jevgenijus Toldinas's co-authors include Robertas Damaševičius, Algimantas Venčkauskas, Šarūnas Grigaliūnas, Nerijus Morkevičius, Vytautas Štuikys, Vacius Jusas, Tomas Blažauskas and Filippo Sanfilippo and has published in prestigious journals such as Sensors, Applied Sciences and IEEE Intelligent Systems.

In The Last Decade

Jevgenijus Toldinas

32 papers receiving 435 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jevgenijus Toldinas Lithuania 12 339 232 189 115 70 33 460
Vasaka Visoottiviseth Thailand 12 345 1.0× 163 0.7× 152 0.8× 107 0.9× 108 1.5× 57 468
Olivier Mehani Australia 9 388 1.1× 121 0.5× 160 0.8× 124 1.1× 193 2.8× 14 524
Xing Gao United States 10 208 0.6× 193 0.8× 127 0.7× 157 1.4× 56 0.8× 30 399
Fu‐Hau Hsu Taiwan 11 227 0.7× 290 1.3× 251 1.3× 133 1.2× 47 0.7× 50 459
Tianbo Gu United States 9 173 0.5× 121 0.5× 94 0.5× 78 0.7× 64 0.9× 17 293
Tianlong Yu United States 9 373 1.1× 163 0.7× 153 0.8× 135 1.2× 70 1.0× 14 486
Anni Peng China 3 245 0.7× 110 0.5× 109 0.6× 146 1.3× 56 0.8× 5 367
Jon McCune United States 4 285 0.8× 228 1.0× 179 0.9× 289 2.5× 56 0.8× 4 510
Ye Zhu United States 13 257 0.8× 260 1.1× 103 0.5× 89 0.8× 130 1.9× 61 450
Ke He China 9 328 1.0× 267 1.2× 209 1.1× 139 1.2× 27 0.4× 31 480

Countries citing papers authored by Jevgenijus Toldinas

Since Specialization
Citations

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

Fields of papers citing papers by Jevgenijus Toldinas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jevgenijus Toldinas

This figure shows the co-authorship network connecting the top 25 collaborators of Jevgenijus Toldinas. A scholar is included among the top collaborators of Jevgenijus Toldinas 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 Jevgenijus Toldinas. Jevgenijus Toldinas 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.
Venčkauskas, Algimantas, et al.. (2025). Enhancing the Resilience of a Federated Learning Global Model Using Client Model Benchmark Validation. Electronics. 14(6). 1215–1215. 1 indexed citations
2.
Venčkauskas, Algimantas, Jevgenijus Toldinas, Nerijus Morkevičius, & Filippo Sanfilippo. (2024). An Email Cyber Threat Intelligence Method Using Domain Ontology and Machine Learning. Electronics. 13(14). 2716–2716. 1 indexed citations
3.
Toldinas, Jevgenijus, et al.. (2023). A Multilayered Preprocessing Approach for Recognition and Classification of Malicious Social Network Messages. Electronics. 12(18). 3785–3785. 3 indexed citations
4.
Morkevičius, Nerijus, et al.. (2022). Distributed Agent-Based Orchestrator Model for Fog Computing. Sensors. 22(15). 5894–5894. 4 indexed citations
5.
Toldinas, Jevgenijus, et al.. (2022). Framing Network Flow for Anomaly Detection Using Image Recognition and Federated Learning. Electronics. 11(19). 3138–3138. 11 indexed citations
6.
Damaševičius, Robertas, Jevgenijus Toldinas, Algimantas Venčkauskas, Šarūnas Grigaliūnas, & Nerijus Morkevičius. (2020). Technical Threat Intelligence Analytics: What and How to Visualize for Analytic Process. 1–4. 6 indexed citations
7.
Toldinas, Jevgenijus, et al.. (2019). MQTT Quality of Service versus Energy Consumption. 1–4. 35 indexed citations
8.
Venčkauskas, Algimantas, et al.. (2019). An Edge-Fog Secure Self-Authenticable Data Transfer Protocol. Sensors. 19(16). 3612–3612. 16 indexed citations
9.
Grigaliūnas, Šarūnas & Jevgenijus Toldinas. (2016). Digital Evidence Investigation Using Habits Attribution. 4. 30–35. 1 indexed citations
10.
Venčkauskas, Algimantas, et al.. (2016). A Methodology and Tool for Investigation of Artifacts Left by the BitTorrent Client. Symmetry. 8(6). 40–40. 2 indexed citations
11.
Venčkauskas, Algimantas, et al.. (2015). Investigation of Artefacts Left by BitTorrent Client in Windows 8 Registry. 3(2). 25–31. 3 indexed citations
12.
Venčkauskas, Algimantas, Jevgenijus Toldinas, Šarūnas Grigaliūnas, Robertas Damaševičius, & Vacius Jusas. (2015). Suitability of the digital forensic tools for investigation of cyber crime in the Internet of Things and Services. 3. 86–97. 13 indexed citations
13.
Venčkauskas, Algimantas, et al.. (2015). Investigation of Artifacts Left by BitTorrent Client on the Local Computer Operating under Windows 8.1. Information Technology And Control. 44(4). 451–461. 2 indexed citations
14.
Damaševičius, Robertas, Vytautas Štuikys, & Jevgenijus Toldinas. (2013). Methods for Measurement of Energy Consumption in Mobile Devices. Metrology and Measurement Systems. 20(3). 419–430. 12 indexed citations
15.
Damaševičius, Robertas, et al.. (2012). Energy Consumption of Hash Functions. Elektronika ir Elektrotechnika. 18(10). 81–84. 17 indexed citations
16.
Toldinas, Jevgenijus, et al.. (2010). Rootkit Detection Experiment within a Virtual Environment. Elektronika ir Elektrotechnika. 104(8). 63–68. 4 indexed citations
17.
Toldinas, Jevgenijus, et al.. (2010). Power Awareness Experiment for Crypto Service-Based Algorithms. Elektronika ir Elektrotechnika. 101(5). 57–62. 8 indexed citations
18.
Toldinas, Jevgenijus, et al.. (2009). Application-Level Energy Consumption In Communication Models For Handhelds. Elektronika ir Elektrotechnika. 94(6). 73–76. 6 indexed citations
19.
Damaševičius, Robertas, Vytautas Štuikys, & Jevgenijus Toldinas. (2008). Embedded program specialization for multiple criteria trade-offs. Elektronika ir Elektrotechnika. 88(8). 9–14. 7 indexed citations
20.
Toldinas, Jevgenijus, et al.. (1970). Energy Efficiency Comparison with Cipher Strength of AES and Rijndael Cryptographic Algorithms in Mobile Devices. Elektronika ir Elektrotechnika. 108(2). 11–14. 12 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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