Suat Toraman

834 citations
33 papers · 601 indexed · h-index 12
Topics
EEG and Brain-Computer Interfaces (7 papers)Spectroscopy Techniques in Biomedical and Chemical Research (6 papers)Machine Learning in Bioinformatics (5 papers)
Partner nations
TürkiyePoland

In The Last Decade

Suat Toraman

30 papers receiving 578 citations

Peers

Suat Toraman
Comparison fields: 5 of 110
  • Radiology, Nuclear Medicine and Imaging 227
  • Artificial Intelligence 198
  • Cognitive Neuroscience 74
  • Computer Vision and Pattern Recognition 71
  • Biophysics 62
Replace Tommy Löfstedt with:
Tommy Löfstedt Sweden
Muhammad Yaqub China
Seda Arslan Tuncer Türkiye
Vassili Kovalev Belarus
Xujing Yao United Kingdom
Sawon Pratiher India
Murat Seçkin Ayhan Germany
Tassilo Klein Germany
C. Jiménez-Mesa Spain
Ahmed Shalaby United States
Suat Toraman relative to Tommy Löfstedt Sweden Tommy Löfstedt's profile →
Citations per field
00.5×3.4×
Tommy Löfstedt · 1×
Citations per year

Countries citing papers authored by Suat Toraman

Since Specialization
Citations

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

Fields of papers citing papers by Suat Toraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suat Toraman

This figure shows the co-authorship network connecting the top 25 collaborators of Suat Toraman. A scholar is included among the top collaborators of Suat Toraman 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 Suat Toraman. Suat Toraman 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 2
2 0
3 1
4 5
5 0
6 23
7 3
8 10
9 8
10 7
11 4
12 232
13 22
14 3
15 41
16 21
17 49
18
Derin Öğrenme ile FTIR Sinyallerinden Kolon Kanseri Riskinin Belirlenmesi
1
19 2
20 1

About Suat Toraman

Suat Toraman is a scholar working on Biophysics, Automotive Engineering and Fluid Flow and Transfer Processes, having authored 33 papers that have together received 601 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Health Informatics (32 citations), Biophysics (62 citations) and Radiology, Nuclear Medicine and Imaging (227 citations). Suat Toraman has collaborated with scholars based in Türkiye and Poland. Frequent co-authors include İbrahim Türkoğlu, Talha Burak Alakuş, Seda Arslan Tuncer, Bihter Daş, Hakan Aygün, Zozan Güleken, Rabia Bilici, Serap Erdem Kuruca, Oğuzhan Gündüz and Bilal Üstündağ. Their work appears in journals such as Energy, Environmental Science and Pollution Research and Chaos Solitons & Fractals.

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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