Ivan Beloev

670 citations
68 papers · 413 · 1 hit paper · h-index 10

Impact in

Papers in

Ivan Beloev

49 papers receiving 396 citations

Ivan Beloev's Hit Papers

A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions 2024 · 101 citations
1010+1Years since publication255075100

Peers

Ivan Beloev
Comparison fields: 5 of 98
  • Computer Networks and Communications 85
  • Signal Processing 35
  • Industrial and Manufacturing Engineering 30
  • Aerospace Engineering 62
  • Health Informatics 3
Replace Junchao Yang with:
Junchao Yang China
Abhay Chaturvedi India
Ivaylo Stoyanov Bulgaria
Billy Pik Lik Lau Singapore
Nguyễn Minh Quý Vietnam
M. Popa Romania
Muhammad Anan United States
Olasupo Ajayi South Africa
Kiran Jot Singh India
Ivan Beloev relative to Junchao Yang China Junchao Yang's profile →
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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 68 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 →
2024101
2 201649
3 202146
4 202124
5 202316
6 201915
7 202314
8 201613
9 202012
10 202010
11 20259
12 20209
13 20176
14 20236
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, Industrial and Manufacturing Engineering and Civil and Structural Engineering, having authored 68 papers that have together received 413 indexed citations. Recurring topics across this work include Advanced Power Generation Technologies (3 papers), Wind Energy Research and Development (3 papers), Advancements in Solid Oxide Fuel Cells (3 papers), Global Energy Security and Policy (3 papers), Smart Agriculture and AI (3 papers), Mechanical Systems and Engineering (3 papers), Industrial Engineering and Technologies (3 papers) and Experimental Learning in Engineering (2 papers). The work is most often cited by research in Computer Networks and Communications (85 citations), Signal Processing (35 citations), Industrial and Manufacturing Engineering (30 citations), Aerospace Engineering (62 citations) and Health Informatics (3 citations). Ivan Beloev has collaborated with scholars based in Bulgaria, Russia and Ukraine. Frequent co-authors include Ivaylo Stoyanov, Teodor Iliev, Selahattin Koşunalp, Georgi Hristov, Plamen Zahariev, Merve Ozkan-Okay, Erdal Akin, Ömer Aslan, Georgi Georgiev and Diyana Kinaneva. Their work appears in journals such as Energies, Energy Reports, Energy, Sustainability and IEEE Access.

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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