Harun Uğuz

1.8k total citations · 2 hit papers
37 papers, 1.5k citations indexed

About

Harun Uğuz is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Harun Uğuz has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Harun Uğuz's work include Metaheuristic Optimization Algorithms Research (7 papers), Blind Source Separation Techniques (6 papers) and Energy Load and Power Forecasting (5 papers). Harun Uğuz is often cited by papers focused on Metaheuristic Optimization Algorithms Research (7 papers), Blind Source Separation Techniques (6 papers) and Energy Load and Power Forecasting (5 papers). Harun Uğuz collaborates with scholars based in Türkiye. Harun Uğuz's co-authors include Hüseyin Haklı, Mesut Gündüz, Mustafa Servet Kıran, Ahmet Arslan, Ömer Kaan Baykan, İbrahim Türkoğlu, Gür Emre Güraksın, Tayfun Çay, Onur İnan and Halife Kodaz and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

In The Last Decade

Harun Uğuz

36 papers receiving 1.4k citations

Hit Papers

A two-stage feature selection method for text categorizat... 2011 2026 2016 2021 2011 2014 100 200 300

Peers

Harun Uğuz
Comparison fields: 5 of 141
  • Artificial Intelligence 824
  • Computer Vision and Pattern Recognition 264
  • Computational Theory and Mathematics 227
  • Electrical and Electronic Engineering 155
  • Information Systems 137
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Hamïd Parvïn Iran
Hamza Turabieh Saudi Arabia
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Xiaowei Gu United Kingdom
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Citations per field, relative to Harun Uğuz
Harun Uğuz · 1×
Citations per year, relative to Harun Uğuz
Harun Uğuz · 1×

Countries citing papers authored by Harun Uğuz

Since Specialization
Citations

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

Fields of papers citing papers by Harun Uğuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harun Uğuz

This figure shows the co-authorship network connecting the top 25 collaborators of Harun Uğuz. A scholar is included among the top collaborators of Harun Uğuz 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 Harun Uğuz. Harun Uğuz 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
# Work Indexed citations
1 1
2 1
3 4
4 4
5 27
6 54
7 2
8 2
9 0
10 18
11 14
12
INTERVIEW IN LAND CONSOLIDATION USING GENETIC ALGORITHM
1
13 10
14 28
15 44
16 15
17 4
18 85
19 14
20 54

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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