Salih Güneş

4.8k citations
65 papers · 3.5k indexed · 1 hit paper · h-index 28
Topics
Artificial Immune Systems Applications (20 papers)Artificial Intelligence in Healthcare (15 papers)Machine Learning in Bioinformatics (13 papers)

In The Last Decade

Salih Güneş

65 papers receiving 3.3k citations

Hit Papers

Classification of epileptiform EEG using a hybrid system ...20062026201220192006100200300400500

Peers

Salih Güneş
Comparison fields: 5 of 157
  • Artificial Intelligence 1.5k
  • Health Information Management 914
  • Cognitive Neuroscience 895
  • Signal Processing 586
  • Computer Vision and Pattern Recognition 472
Replace Paweł Pławiak with:
Paweł Pławiak Poland
İbrahim Türkoğlu Türkiye
N. Arunkumar India
M. Shamim Kaiser Bangladesh
Elif Derya Übeylï Türkiye
Sai Ho Ling Australia
Yuki Hagiwara Singapore
M. Tanveer India
Muhammad Adam Singapore
Roshan Joy Martis India
Salih Güneş relative to Paweł Pławiak Poland Paweł Pławiak's profile →
Citations per field
00.5×10×20×29.9×
Paweł Pławiak · 1×
Citations per year

Countries citing papers authored by Salih Güneş

Since Specialization
Citations

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

Fields of papers citing papers by Salih Güneş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salih Güneş

This figure shows the co-authorship network connecting the top 25 collaborators of Salih Güneş. A scholar is included among the top collaborators of Salih Güneş 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 Salih Güneş. Salih Güneş 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
1 167
2 22
3 139
4 19
5 3
6 10
7 28
8 16
9 8
10 14
11 19
12 11
13 12
14 4
15 18
16 13
17 230
18 139
19 34
20
A MULTICAST ROUTING ALGORITHM BASED ON PARALLEL BRANCHING METHOD FOR FAULTY HYPERCUBES
1

About Salih Güneş

Salih Güneş is a scholar working on Health Information Management, Cognitive Neuroscience and Biomedical Engineering, having authored 65 papers that have together received 3.5k indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (20 papers), Artificial Intelligence in Healthcare (15 papers) and Machine Learning in Bioinformatics (13 papers). The work is most often cited by research in Health Information Management (914 citations), Signal Processing (586 citations) and Artificial Intelligence (1.5k citations). Salih Güneş has collaborated with scholars based in Türkiye, United States and Nigeria. Frequent co-authors include Kemal Polat, Seral Şahan, Ahmet Arslan, Şebnem Yosunkaya, Halife Kodaz, Seral Özşen, Sadık Kara, Fatma Lati̇foğlu, Bayram Akdemïr and Ayşegül Güven. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Applied Soft Computing.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026