Abdulsamet Haşıloğlu

461 total citations
21 papers, 377 citations indexed

About

Abdulsamet Haşıloğlu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Abdulsamet Haşıloğlu has authored 21 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Civil and Structural Engineering. Recurrent topics in Abdulsamet Haşıloğlu's work include Fuzzy Logic and Control Systems (3 papers), Advanced Neural Network Applications (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Abdulsamet Haşıloğlu is often cited by papers focused on Fuzzy Logic and Control Systems (3 papers), Advanced Neural Network Applications (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Abdulsamet Haşıloğlu collaborates with scholars based in Türkiye and United States. Abdulsamet Haşıloğlu's co-authors include Suat Akbulut, Seracettin Arasan, Sibel Pamukcu, Ömer Çomaklı, İsmail Ekmekçi, Aytürk Keleş, Mahmut Bayramoğlu, Ali Keleş, Yılmaz Aksoy and Ahmet Fahri Özok and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Knowledge-Based Systems and International Journal of Thermal Sciences.

In The Last Decade

Abdulsamet Haşıloğlu

20 papers receiving 348 citations

Peers

Abdulsamet Haşıloğlu
Comparison fields: 5 of 110
  • Civil and Structural Engineering 151
  • Mechanical Engineering 50
  • Artificial Intelligence 48
  • Management, Monitoring, Policy and Law 38
  • Mechanics of Materials 34
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Citations per field, relative to Abdulsamet Haşıloğlu
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Citations per year, relative to Abdulsamet Haşıloğlu
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Countries citing papers authored by Abdulsamet Haşıloğlu

Since Specialization
Citations

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

Fields of papers citing papers by Abdulsamet Haşıloğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulsamet Haşıloğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Abdulsamet Haşıloğlu. A scholar is included among the top collaborators of Abdulsamet Haşıloğlu 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 Abdulsamet Haşıloğlu. Abdulsamet Haşıloğlu 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 5
3 7
4 3
5 2
6 1
7 3
8 1
9 87
10 3
11
Effect of particle size and shape on the grainsize distribution using Image analysis
22
12
Shape Properties of Natural and Crushed Aggregate using Image Analysis
36
13 41
14 6
15 3
16 62
17 46
18 38
19
Rotation-Invariant Texture Analysis and Classification by Artificial Neural Networks and Wavelet Transform
2
20
A New Windowing Technique in Texture Classification
1

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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