Hüsnü Dal

48 papers receiving 1.2k citations

Peers

Hüsnü Dal
Comparison fields: 5 of 79
  • Fluid Flow and Transfer Processes 148
  • Mechanics of Materials 539
  • Biomedical Engineering 610
  • Polymers and Plastics 188
  • Computational Mechanics 136
Replace T. J. Wang with:
T. J. Wang China
Gal deBotton Israel
Denis Favier France
Thomas J. Pence United States
Jeremiah G. Murphy Ireland
L. Angela Mihai United Kingdom
H. Xiao China
Erwan Verron France
Millard F. Beatty United States
Hüsnü Dal relative to T. J. Wang China T. J. Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hüsnü Dal

Since Specialization
Citations

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

Fields of papers citing papers by Hüsnü Dal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hüsnü Dal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hüsnü Dal Line = papers co-authored together Hüsnü Dal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015133
2 2021129
3 201788
4 201685
5 200978
6 200966
7 201259
8 202054
9 202049
10 201242
11 201941
12 201839
13 201437
14 201433
15 201728
16 201128
17 202226
18 201026
19 201824
20 201621

About Hüsnü Dal

Hüsnü Dal is a scholar working on Biomedical Engineering, Mechanics of Materials, Fluid Flow and Transfer Processes, Cardiology and Cardiovascular Medicine and Polymers and Plastics, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Elasticity and Material Modeling (33 papers), Composite Material Mechanics (14 papers), Rheology and Fluid Dynamics Studies (12 papers), Numerical methods in engineering (9 papers), Polymer Nanocomposites and Properties (7 papers), Cardiac electrophysiology and arrhythmias (7 papers), Nonlocal and gradient elasticity in micro/nano structures (5 papers) and Cardiovascular Function and Risk Factors (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (148 citations), Mechanics of Materials (539 citations), Biomedical Engineering (610 citations), Polymers and Plastics (188 citations) and Computational Mechanics (136 citations). Hüsnü Dal has collaborated with scholars based in Türkiye, Germany and United States. Frequent co-authors include Michael Kaliske, Osman Gültekin, Gerhard A. Holzapfel, Christian Miehé, Lisa‐Marie Schänzel, Arun Raina, Ellen Kuhl, Serdar Göktepe, Konrad Schneider and Fadi Aldakheel. Their work appears in journals such as Computational Mechanics, Computer Methods in Applied Mechanics and Engineering, Journal of the Mechanics and Physics of Solids, International Journal for Numerical Methods in Engineering and International Journal of Solids and Structures.

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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