Şefki Kolozali

504 citations
20 papers · 339 indexed · h-index 8
Topics
Music and Audio Processing (7 papers)Advanced Chemical Sensor Technologies (3 papers)Time Series Analysis and Forecasting (3 papers)

In The Last Decade

Şefki Kolozali

19 papers receiving 326 citations

Peers

Şefki Kolozali
Comparison fields: 5 of 71
  • Computer Networks and Communications 108
  • Artificial Intelligence 100
  • Signal Processing 81
  • Computer Vision and Pattern Recognition 76
  • Media Technology 55
Replace Thorben Iggena with:
Thorben Iggena Germany
Cosmin-Septimiu Nechifor Germany
Marten Fischer Germany
Nazli Farajidavar United Kingdom
Lamia Karim Morocco
Cláudio de Souza Baptista Brazil
Dongjie Wang United States
Wee Siong Ng Singapore
Sami Faïz Tunisia
Jing Dai United States
Şefki Kolozali relative to Thorben Iggena Germany Thorben Iggena's profile →
Citations per field
00.5×1.5×2.4×
Thorben Iggena · 1×
Citations per year

Countries citing papers authored by Şefki Kolozali

Since Specialization
Citations

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

Fields of papers citing papers by Şefki Kolozali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Şefki Kolozali

This figure shows the co-authorship network connecting the top 25 collaborators of Şefki Kolozali. A scholar is included among the top collaborators of Şefki Kolozali 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 Şefki Kolozali. Şefki Kolozali 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 7
2 0
3 1
4 4
5 3
6 6
7 3
8 1
9 50
10 10
11 26
12 2
13 1
14 170
15
A Validation Tool for the W3C SSN Ontology based Sensory Semantic Knowledge
7
16
A framework for automatic ontology generation based on semantic audio analysis
4
17 21
18
Knowledge Management On The Semantic Web: A Comparison of Neuro-Fuzzy and Multi-Layer Perceptron Methods For Automatic Music Tagging
2
19 17
20 4

About Şefki Kolozali

Şefki Kolozali is a scholar working on Signal Processing, Issues, ethics and legal aspects and Music, having authored 20 papers that have together received 339 indexed citations. Recurring topics across this work include Music and Audio Processing (7 papers), Advanced Chemical Sensor Technologies (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Transportation (52 citations), Signal Processing (81 citations) and Media Technology (55 citations). Şefki Kolozali has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Payam Barnaghi, Ralf Tönjes, Alessandra Mileo, Muhammad Intizar Ali, Marten Fischer, Feng Gao, Nazli Farajidavar, Thorben Iggena, György Fazekas and M. Sandler. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal and Neural Computing and Applications.

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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