Ivan Beloev

41 papers receiving 339 citations

Hit Papers

A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions 2024 · 78 citations
780+1Years since publication255075

Peers

Ivan Beloev
Comparison fields: 5 of 94
  • Computer Networks and Communications 74
  • Industrial and Manufacturing Engineering 27
  • Signal Processing 27
  • Aerospace Engineering 61
  • Environmental Engineering 30
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Abhay Chaturvedi India
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Aftab Ahmad United States
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Citations per year

Countries citing papers authored by Ivan Beloev

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Beloev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan Beloev, 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 Ivan Beloev Line = papers co-authored together Ivan Beloev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions
Hit paper breakdown →
202478
2 201648
3 202139
4 202122
5 202315
6 202313
7 202012
8 201612
9 201911
10 202010
11 20209
12 20258
13 20236
14 20176
15 20196
16 20235
17 20225
18 20224
19 20244
20 20244

About Ivan Beloev

Ivan Beloev is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Civil and Structural Engineering and Industrial and Manufacturing Engineering, having authored 63 papers that have together received 360 indexed citations. Recurring topics across this work include Smart Agriculture and AI (3 papers), Advancements in Solid Oxide Fuel Cells (3 papers), Wind Energy Research and Development (3 papers), Industrial Engineering and Technologies (3 papers), Advanced Power Generation Technologies (3 papers), Soil Mechanics and Vehicle Dynamics (2 papers), Advanced MIMO Systems Optimization (2 papers) and Risk and Safety Analysis (2 papers). The work is most often cited by research in Computer Networks and Communications (74 citations), Industrial and Manufacturing Engineering (27 citations), Signal Processing (27 citations), Aerospace Engineering (61 citations) and Environmental Engineering (30 citations). Ivan Beloev has collaborated with scholars based in Bulgaria, Russia and Ukraine. Frequent co-authors include Teodor Iliev, Ivaylo Stoyanov, Selahattin Koşunalp, Plamen Zahariev, Georgi Hristov, Erdal Akin, Ömer Aslan, Merve Ozkan-Okay, Boris Evstatiev and Iliya Iliev. Their work appears in journals such as Energies, Electronics, IEEE Access, Applied Sciences and Journal of Thermal Analysis and Calorimetry.

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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