Jafar Jamshidi

37 total papers · 538 total citations
21 papers, 399 citations indexed

About

Jafar Jamshidi is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Jafar Jamshidi has authored 21 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 9 papers in Industrial and Manufacturing Engineering and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Jafar Jamshidi's work include Advanced Measurement and Metrology Techniques (13 papers), Manufacturing Process and Optimization (9 papers) and Scientific Measurement and Uncertainty Evaluation (6 papers). Jafar Jamshidi is often cited by papers focused on Advanced Measurement and Metrology Techniques (13 papers), Manufacturing Process and Optimization (9 papers) and Scientific Measurement and Uncertainty Evaluation (6 papers). Jafar Jamshidi collaborates with scholars based in United Kingdom, Italy and China. Jafar Jamshidi's co-authors include Paul Maropoulos, A R Mileham, Geraint Owen, Zheng Wang, Jody Muelaner, Pejman Iravani, Fiorenzo Franceschini, Domenico Maisano, Olivier J. F. Martin and Luca Mastrogiacomo and has published in prestigious journals such as CIRP Annals, The International Journal of Advanced Manufacturing Technology and Measurement Science and Technology.

In The Last Decade

Jafar Jamshidi

21 papers receiving 384 citations

Author Peers

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

Author Last Decade Papers Cites
Jafar Jamshidi 251 146 105 90 63 21 399
Martin Peterek 240 1.0× 100 0.7× 86 0.8× 63 0.7× 15 0.2× 17 338
Saeid Motavalli 181 0.7× 207 1.4× 97 0.9× 116 1.3× 15 0.2× 28 409
Nick Van Gestel 304 1.2× 113 0.8× 221 2.1× 147 1.6× 23 0.4× 10 443
Shuzi Yang 209 0.8× 100 0.7× 74 0.7× 52 0.6× 38 0.6× 23 444
Alessandro Balsamo 251 1.0× 71 0.5× 63 0.6× 83 0.9× 17 0.3× 27 333
J. Patrick Spicer 279 1.1× 106 0.7× 12 0.1× 24 0.3× 34 0.5× 18 436
Ilya Tyapin 213 0.8× 151 1.0× 26 0.2× 19 0.2× 32 0.5× 39 424
Ksenia Ostrowska 249 1.0× 52 0.4× 75 0.7× 59 0.7× 16 0.3× 32 355
Jie Xu 89 0.4× 80 0.5× 95 0.9× 61 0.7× 35 0.6× 19 375
Zhanxi Wang 96 0.4× 83 0.6× 38 0.4× 19 0.2× 92 1.5× 40 373

Countries citing papers authored by Jafar Jamshidi

Since Specialization
Citations

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

Fields of papers citing papers by Jafar Jamshidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jafar Jamshidi

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