Rini Sherony

128 total papers · 1.2k total citations
94 papers, 879 citations indexed

About

Rini Sherony is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rini Sherony has authored 94 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Safety, Risk, Reliability and Quality, 33 papers in Automotive Engineering and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rini Sherony's work include Traffic and Road Safety (44 papers), Autonomous Vehicle Technology and Safety (28 papers) and Automotive and Human Injury Biomechanics (26 papers). Rini Sherony is often cited by papers focused on Traffic and Road Safety (44 papers), Autonomous Vehicle Technology and Safety (28 papers) and Automotive and Human Injury Biomechanics (26 papers). Rini Sherony collaborates with scholars based in United States, Switzerland and Japan. Rini Sherony's co-authors include Hampton C. Gabler, John M. Scanlon, Stanley Chien, Yaobin Chen, Renran Tian, Lingxi Li, Kenneth O. Stanley, Risto Miikkulainen, Qiang Yi and Nate Kohl and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Antennas and Propagation and International Journal of Environmental Research and Public Health.

In The Last Decade

Rini Sherony

91 papers receiving 822 citations

Author Peers

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

Author Last Decade Papers Cites
Rini Sherony 395 374 187 160 152 94 879
Jing Huang 215 0.5× 285 0.8× 73 0.4× 136 0.8× 93 0.6× 50 741
Christopher S. Pan 195 0.5× 277 0.7× 139 0.7× 168 1.1× 45 0.3× 40 852
Dot Hs 374 0.9× 249 0.7× 224 1.2× 125 0.8× 76 0.5× 52 710
Zachary R. Doerzaph 489 1.2× 297 0.8× 425 2.3× 91 0.6× 20 0.1× 54 890
Jonas Bärgman 635 1.6× 405 1.1× 535 2.9× 168 1.1× 53 0.3× 51 952
Xiaolin Song 159 0.4× 561 1.5× 198 1.1× 416 2.6× 17 0.1× 69 980
Shouen Fang 523 1.3× 350 0.9× 126 0.7× 390 2.4× 19 0.1× 48 882
Frank Diermeyer 151 0.4× 418 1.1× 192 1.0× 214 1.3× 10 0.1× 62 748
Raymond J. Kiefer 496 1.3× 331 0.9× 570 3.0× 135 0.8× 24 0.2× 42 918
Ming Chen 196 0.5× 123 0.3× 69 0.4× 389 2.4× 11 0.1× 42 923

Countries citing papers authored by Rini Sherony

Since Specialization
Citations

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

Fields of papers citing papers by Rini Sherony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rini Sherony

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