Vladimir Jotsov

411 total citations
29 papers, 154 citations indexed

About

Vladimir Jotsov is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Vladimir Jotsov has authored 29 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Vladimir Jotsov's work include Online Learning and Analytics (5 papers), Network Security and Intrusion Detection (5 papers) and Advanced Malware Detection Techniques (4 papers). Vladimir Jotsov is often cited by papers focused on Online Learning and Analytics (5 papers), Network Security and Intrusion Detection (5 papers) and Advanced Malware Detection Techniques (4 papers). Vladimir Jotsov collaborates with scholars based in Bulgaria, Kazakhstan and China. Vladimir Jotsov's co-authors include Nurassyl Kerimbayev, Rustam Shadiev, Jun Su, Орест Кочан, Роман Кочан, Zhengbing Hu, Janusz Kacprzyk, Munif Alotaibi, Aziz Alotaibi and Shujaat Hussain and has published in prestigious journals such as Applied Sciences, IEEE Control Systems and International Journal of Intelligent Systems.

In The Last Decade

Vladimir Jotsov

23 papers receiving 137 citations

Peers

Countries citing papers authored by Vladimir Jotsov

Since Specialization

Citations

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

Fields of papers citing papers by Vladimir Jotsov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Jotsov

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Jotsov. A scholar is included among the top collaborators of Vladimir Jotsov 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 Vladimir Jotsov. Vladimir Jotsov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Comparative Analysis of Generative AI Models for Improving Learning Process in Higher Education 2024 ·Nurassyl Kerimbayev, (unknown), Магдалена Гарванова, (unknown), Vladimir Jotsov	2
2	Organization of Feedback in the Intelligent Learning Systems 2024 ·Nurassyl Kerimbayev, (unknown), Vladimir Jotsov, Rustam Shadiev, (unknown), (unknown)	3
3	A student-centered approach using modern technologies in distance learning: a systematic review of the literature 2023 ·Smart Learning Environments ·Nurassyl Kerimbayev, (unknown), Rustam Shadiev, Vladimir Jotsov	46
4	A Data-Science Approach for Creation of a Comprehensive Model to Assess the Impact of Mobile Technologies on Humans 2023 ·Applied Sciences ·Магдалена Гарванова, Ivan Garvanov, Vladimir Jotsov, Abdul Razaque, Bandar Alotaibi, Munif Alotaibi, Daniela Borissova	2
5	Clickbait Detection Using Deep Recurrent Neural Network 2022 ·Applied Sciences ·Abdul Razaque, Bandar Alotaibi, Munif Alotaibi, Shujaat Hussain, Aziz Alotaibi, Vladimir Jotsov	12
6	Data Science Modeling for EEG Signal Filtering Using Wavelet Transforms 2020 ·Ivan Garvanov, Vladimir Jotsov, Магдалена Гарванова	2
7	Puzzle Methods for Automatic Selection of Data Cleansing Techniques 2018 ·(unknown), Vladimir Jotsov, (unknown)	1
8	Node-Based System for Optimizing the Process of Creation ff Intelligent Agents for Intrusion Detection and Analysis 2018 ·(unknown), Vladimir Jotsov	1
9	Novel Applications of Intelligent Systems 2016 ·Studies in computational intelligence ·(unknown), Nikola Kasabov, Dimitar Filev, Vladimir Jotsov	1
10	Innovative Issues in Intelligent Systems 2016 ·Studies in computational intelligence ·(unknown), Ronald R. Yager, Janusz Kacprzyk, Vladimir Jotsov	8
11	Methods of Reducing the Effect of the Acquired Thermoelectric Inhomogeneity of Thermocouples on Temperature Measurement Error 2015 ·Measurement Techniques ·Jun Su, Орест Кочан, Vladimir Jotsov	15
12	Advanced analytics methods and intelligent applications in education 2013 ·Vladimir Jotsov	2
13	Applications of Puzzle methods for intrusion detection in ATMs 2012 ·Vladimir Jotsov, (unknown)	1
14	Machine self-learning applications in security systems 2011 ·Vladimir Jotsov	3
15	Discrete Markov process interpretation of propositional logic 2010 ·(unknown), Vladimir Jotsov	0
16	Emotion-Aware Education and Research Systems 2009 ·Issues in Informing Science and Information Technology ·Vladimir Jotsov	2
17	ONTOLOGY-DRIVEN INTRUSION DETECTION SYSTEMS 2007 ·Vladimir Jotsov	1
18	Intelligent Systems: Methodology, Models, and Applications in Emerging Technologies 2005 ·Journal of Advanced Computational Intelligence and Intelligent Informatics ·(unknown), Vladimir Jotsov, (unknown)	1
19	Second IEEE International Conference on Intelligent Systems 2005 ·IEEE Control Systems ·Vladimir Jotsov	7
20	Evolutionary parallels 2003 ·Vladimir Jotsov	6

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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