Jevgenijus Toldinas
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Co-authors
- Robertas DamaševičiusAlgimantas VenčkauskasŠarūnas GrigaliūnasNerijus MorkevičiusVytautas ŠtuikysVacius JusasTomas BlažauskasFilippo Sanfilippo
- Topics
- Advanced Malware Detection Techniques (12 papers)Digital and Cyber Forensics (9 papers)Internet Traffic Analysis and Secure E-voting (5 papers)
In The Last Decade
Jevgenijus Toldinas
32 papers receiving 435 citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 339
- Artificial Intelligence 232
- Signal Processing 189
- Information Systems 115
- Electrical and Electronic Engineering 70
Countries citing papers authored by Jevgenijus Toldinas
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 35 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 6 | |
| 19 | Embedded program specialization for multiple criteria trade-offs | 7 |
| 20 | 12 |
About Jevgenijus Toldinas
Jevgenijus Toldinas is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 33 papers that have together received 460 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (12 papers), Digital and Cyber Forensics (9 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Signal Processing (189 citations), Computer Networks and Communications (339 citations) and Artificial Intelligence (232 citations). Jevgenijus Toldinas has collaborated with scholars based in Lithuania and Norway. Frequent co-authors include Robertas Damaševičius, Algimantas Venčkauskas, Šarūnas Grigaliūnas, Nerijus Morkevičius, Vytautas Štuikys, Vacius Jusas, Tomas Blažauskas and Filippo Sanfilippo. Their work appears in journals such as Sensors, Applied Sciences and IEEE Intelligent Systems.
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.