Daoud S. Mashat

65 total papers · 926 total citations
56 papers, 769 citations indexed

About

Daoud S. Mashat is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Numerical Analysis. According to data from OpenAlex, Daoud S. Mashat has authored 56 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mechanics of Materials, 14 papers in Civil and Structural Engineering and 10 papers in Numerical Analysis. Recurrent topics in Daoud S. Mashat's work include Composite Structure Analysis and Optimization (27 papers), Thermoelastic and Magnetoelastic Phenomena (13 papers) and Numerical methods in engineering (10 papers). Daoud S. Mashat is often cited by papers focused on Composite Structure Analysis and Optimization (27 papers), Thermoelastic and Magnetoelastic Phenomena (13 papers) and Numerical methods in engineering (10 papers). Daoud S. Mashat collaborates with scholars based in Saudi Arabia, Egypt and Pakistan. Daoud S. Mashat's co-authors include Ashraf M. Zenkour, Erasmo Carrera, Ahmed E. Abouelregal, Matteo Filippi, A.J.M. Ferreira, Ahmed F. Radwan, Prabir Daripa, Khaled A. Elsibai, Shahzaib Ashraf and Mohammed Sobhy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Daoud S. Mashat

56 papers receiving 739 citations

Author Peers

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

Author						Papers	Cites
Daoud S. Mashat	613	299	161	127	115	56	769
S. A. Eftekhari	622 1.0×	305 1.0×	98 0.6×	323 2.5×	154 1.3×	37	758
M.A. De Rosa	592 1.0×	418 1.4×	170 1.1×	401 3.2×	165 1.4×	61	830
Ali Jafari	666 1.1×	236 0.8×	286 1.8×	285 2.2×	146 1.3×	40	814
Alireza Shooshtari	581 0.9×	260 0.9×	284 1.8×	209 1.6×	154 1.3×	48	851
Cheng Chang-jun	592 1.0×	376 1.3×	112 0.7×	295 2.3×	109 0.9×	106	901
M. Hemmatnezhad	577 0.9×	341 1.1×	274 1.7×	214 1.7×	130 1.1×	31	814
G. Cederbaum	552 0.9×	354 1.2×	45 0.3×	230 1.8×	163 1.4×	53	751
K. Vijayakumar	535 0.9×	291 1.0×	53 0.3×	87 0.7×	185 1.6×	50	637
Eugenio Ruocco	573 0.9×	364 1.2×	193 1.2×	93 0.7×	127 1.1×	63	738
Tsviatko Rangelov	488 0.8×	333 1.1×	99 0.6×	24 0.2×	72 0.6×	64	654

Countries citing papers authored by Daoud S. Mashat

Since Specialization

Citations

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

Fields of papers citing papers by Daoud S. Mashat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoud S. Mashat

This figure shows the co-authorship network connecting the top 25 collaborators of Daoud S. Mashat. A scholar is included among the top collaborators of Daoud S. Mashat 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 Daoud S. Mashat. Daoud S. Mashat 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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