Vesselin Vassilev

1.3k citations
16 papers · 654 indexed · h-index 8
Topics
Evolutionary Algorithms and Applications (9 papers)Metaheuristic Optimization Algorithms Research (7 papers)Electrostatic Discharge in Electronics (5 papers)

In The Last Decade

Vesselin Vassilev

15 papers receiving 618 citations

Peers

Vesselin Vassilev
Comparison fields: 5 of 63
  • Artificial Intelligence 538
  • Electrical and Electronic Engineering 171
  • Molecular Biology 127
  • Computational Theory and Mathematics 121
  • Genetics 69
Replace Pauline C. Haddow with:
Pauline C. Haddow Norway
Frédéric Gruau France
Brian W. Goldman United States
Mark Shackleton United Kingdom
Younho Lee South Korea
Hendrik Jan Hoogeboom Netherlands
Yin-Te Tsai Taiwan
Ikuo Yoshihara Japan
Jan Paredis Netherlands
Moon Jung Chung United States
Vesselin Vassilev relative to Pauline C. Haddow Norway Pauline C. Haddow's profile →
Citations per field
00.5×4.7×
Pauline C. Haddow · 1×
Citations per year

Countries citing papers authored by Vesselin Vassilev

Since Specialization
Citations

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

Fields of papers citing papers by Vesselin Vassilev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vesselin Vassilev

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2
Anti-series GGNMOS ESD clamp for space application IC's
5
3
Diode isolation concept for low voltage and high voltage protection applications
2
4 29
5 8
6 15
7 2
8
A 6mW, 1.5dB NF CMOS LNA for GPS with 3kV HBM ESD-protection
5
9 60
10 63
11
Embedding landscape neutrality to build a bridge from the conventional to a more efficient three-bit multiplier circuit
6
12 224
13 117
14 109
15 3
16
An Information Measure of Landscapes.
6

About Vesselin Vassilev

Vesselin Vassilev is a scholar working on Artificial Intelligence, Genetics and Electrical and Electronic Engineering, having authored 16 papers that have together received 654 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (9 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Electrostatic Discharge in Electronics (5 papers). The work is most often cited by research in Artificial Intelligence (538 citations), Computational Theory and Mathematics (121 citations) and Hardware and Architecture (26 citations). Vesselin Vassilev has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Dominic Job, Julian F. Miller, Julian F. Miller, Terence C. Fogarty, Jeffrey E. Miller, Gianluca Boselli, Charvaka Duvvury, H.E. Maes, Michiel Steyaert and Paul Leroux. Their work appears in journals such as Evolutionary Computation, Journal of Electrostatics and Genetic Programming and Evolvable Machines.

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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