S. Güngör

43 total papers · 661 total citations
30 papers, 514 citations indexed

About

S. Güngör is a scholar working on Mechanical Engineering, Mechanics of Materials and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Güngör has authored 30 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanical Engineering, 15 papers in Mechanics of Materials and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Güngör's work include Welding Techniques and Residual Stresses (12 papers), Non-Destructive Testing Techniques (7 papers) and Fatigue and fracture mechanics (7 papers). S. Güngör is often cited by papers focused on Welding Techniques and Residual Stresses (12 papers), Non-Destructive Testing Techniques (7 papers) and Fatigue and fracture mechanics (7 papers). S. Güngör collaborates with scholars based in United Kingdom, Hong Kong and Portugal. S. Güngör's co-authors include Michael E. Fitzpatrick, L. Edwards, A.N. Forsey, Mehmet E. Kartal, C.D.M. Liljedahl, Richard Moat, Thomas Simm, P. J. Bouchard, Karen Perkins and M. Turski and has published in prestigious journals such as Acta Materialia, Materials Science and Engineering A and Materials & Design.

In The Last Decade

S. Güngör

30 papers receiving 506 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Güngör 426 206 122 70 51 30 514
L. Allais 452 1.1× 320 1.6× 261 2.1× 76 1.1× 43 0.8× 27 616
T. Bretheau 355 0.8× 221 1.1× 311 2.5× 32 0.5× 91 1.8× 30 603
Ana Horovistiz 255 0.6× 109 0.5× 248 2.0× 61 0.9× 26 0.5× 40 518
Ahmed El Bartali 458 1.1× 289 1.4× 205 1.7× 156 2.2× 146 2.9× 27 604
Yufen Gu 404 0.9× 72 0.3× 166 1.4× 64 0.9× 107 2.1× 36 595
Munjin Kang 530 1.2× 140 0.7× 54 0.4× 58 0.8× 73 1.4× 42 569
K. Sridhar 397 0.9× 147 0.7× 165 1.4× 40 0.6× 202 4.0× 48 574
Mons Hauge 397 0.9× 362 1.8× 161 1.3× 63 0.9× 17 0.3× 25 482
Xiaoguang Zhou 263 0.6× 176 0.9× 184 1.5× 116 1.7× 29 0.6× 42 448
Э. Соппа 283 0.7× 236 1.1× 214 1.8× 21 0.3× 20 0.4× 30 456

Countries citing papers authored by S. Güngör

Since Specialization
Citations

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

Fields of papers citing papers by S. Güngör

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Güngör

This figure shows the co-authorship network connecting the top 25 collaborators of S. Güngör. A scholar is included among the top collaborators of S. Güngör 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 S. Güngör. S. Güngör is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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