Hamid Shahsavari

33 total papers · 494 total citations
29 papers, 382 citations indexed

About

Hamid Shahsavari is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Hamid Shahsavari has authored 29 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Civil and Structural Engineering, 12 papers in Mechanics of Materials and 12 papers in Mechanical Engineering. Recurrent topics in Hamid Shahsavari's work include Elasticity and Material Modeling (5 papers), Cellular and Composite Structures (5 papers) and Automotive and Human Injury Biomechanics (4 papers). Hamid Shahsavari is often cited by papers focused on Elasticity and Material Modeling (5 papers), Cellular and Composite Structures (5 papers) and Automotive and Human Injury Biomechanics (4 papers). Hamid Shahsavari collaborates with scholars based in Iran, Germany and Canada. Hamid Shahsavari's co-authors include Mostafa Baghani, Saeed Sohrabpour, R. Naghdabadi, Majid Baniassadi, Karen Abrinia, Martin Ostoja‐Starzewski, Abdol‐Mohammad Kajbafzadeh, Ghader Faraji, Mojtaba Sadighi and Faris Tarlochan and has published in prestigious journals such as Energy Policy, Journal of Applied Mechanics and International Journal of Pharmaceutics.

In The Last Decade

Hamid Shahsavari

27 papers receiving 374 citations

Author Peers

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

Author						Papers	Cites
Hamid Shahsavari	166	152	117	78	54	29	382
Tao Jin	111 0.7×	123 0.8×	84 0.7×	84 1.1×	12 0.2×	42	401
Thomas Plaisted	96 0.6×	43 0.3×	63 0.5×	118 1.5×	139 2.6×	31	404
Zhejun Feng	252 1.5×	88 0.6×	80 0.7×	93 1.2×	76 1.4×	19	342
Mohammad Reza Bayat	140 0.8×	67 0.4×	102 0.9×	122 1.6×	29 0.5×	21	345
Jinyuan Zhang	77 0.5×	144 0.9×	117 1.0×	46 0.6×	22 0.4×	27	393
Yihui Pan	81 0.5×	40 0.3×	155 1.3×	72 0.9×	205 3.8×	26	407
Guansheng Yin	194 1.2×	205 1.3×	50 0.4×	97 1.2×	81 1.5×	28	429
Fabio De Pascalis	140 0.8×	43 0.3×	105 0.9×	56 0.7×	70 1.3×	26	406
Yunpeng Wang	310 1.9×	56 0.4×	55 0.5×	181 2.3×	42 0.8×	23	420
Yan Liu	103 0.6×	172 1.1×	103 0.9×	36 0.5×	49 0.9×	38	397

Countries citing papers authored by Hamid Shahsavari

Since Specialization

Citations

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

Fields of papers citing papers by Hamid Shahsavari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Shahsavari

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Shahsavari. A scholar is included among the top collaborators of Hamid Shahsavari 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 Hamid Shahsavari. Hamid Shahsavari 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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