Nurhan Karaboğa

4.2k citations
56 papers · 3.2k indexed · 2 hit papers · h-index 19
Topics
Advanced Adaptive Filtering Techniques (22 papers)Blind Source Separation Techniques (15 papers)Metaheuristic Optimization Algorithms Research (13 papers)

In The Last Decade

Nurhan Karaboğa

53 papers receiving 3.0k citations

Hit Papers

A comprehensive survey: artificial bee colony (ABC) algor...2009202620142020201220094008001.2k

Peers

Nurhan Karaboğa
Comparison fields: 5 of 143
  • Artificial Intelligence 1.5k
  • Electrical and Electronic Engineering 592
  • Computational Mechanics 565
  • Control and Systems Engineering 511
  • Computational Theory and Mathematics 493
Replace Mehrdad Mahdavi with:
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Nurhan Karaboğa relative to Mehrdad Mahdavi United States Mehrdad Mahdavi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nurhan Karaboğa

Since Specialization
Citations

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

Fields of papers citing papers by Nurhan Karaboğa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nurhan Karaboğa

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 9
3 1
4 8
5 0
6 0
7 6
8 15
9 22
10 2
11 24
12
A comprehensive survey: artificial bee colony (ABC) algorithm and applicationsbreakdown →
1439
13 10
14 6
15 1
16
Design of minimum phase digital IIR filters by using genetic algorithm
40
17 104
18 35
19 22
20 36

About Nurhan Karaboğa

Nurhan Karaboğa is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (22 papers), Blind Source Separation Techniques (15 papers) and Metaheuristic Optimization Algorithms Research (13 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Signal Processing (435 citations) and Computational Theory and Mathematics (493 citations). Nurhan Karaboğa has collaborated with scholars based in Türkiye, Italy and United Kingdom. Frequent co-authors include Derviş Karaboğa, Celal Öztürk, Beyza Görkemli, Adem Kalınlı, Kerim Güney, Fatma Lati̇foğlu, Ali Akdağlı, D.H. Horrocks, Bahriye Akay and İbrahim Develı. Their work appears in journals such as Current Opinion in Biotechnology, Information Sciences and Journal of the Franklin Institute.

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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