Jonathan M. Young

20 papers receiving 253 citations

Peers

Jonathan M. Young
Comparison fields: 5 of 90
  • Computational Theory and Mathematics 77
  • Hardware and Architecture 29
  • Artificial Intelligence 105
  • Software 11
  • Biomedical Engineering 49
Replace Jiang Xie with:
Jiang Xie China
Fangyu Zheng China
Christian Darabos United States
Hiroaki Murakami Japan
Zhi Ping China
Fengkai Zhang China
Maria Luisa Guerriero United Kingdom
Ozan Kahramanoğulları Italy
Y. Hirao Japan
F. Lai United States
Jonathan M. Young relative to Jiang Xie China Jiang Xie's profile →
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00.5×7.3×
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Citations per year

Countries citing papers authored by Jonathan M. Young

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Young. 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 Jonathan M. Young. The network helps show where Jonathan M. Young may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan M. Young, 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 Jonathan M. Young Line = papers co-authored together Jonathan M. Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 198654
2 201330
3 201430
4 198822
5 198822
6 201818
7 201218
8 199114
9 201014
10
Equality of Opportunity: The Making of the Americans with Disabilities Act.
20109
11 20198
12 20178
13 20127
14 20196
15 20162
16 20192
17 20212
18 20062
19 20161
20 20181

About Jonathan M. Young

Jonathan M. Young is a scholar working on Molecular Biology, Biomedical Engineering, Ecology, Artificial Intelligence and Surgery, having authored 20 papers that have together received 270 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (3 papers), Logic, programming, and type systems (3 papers), Genomics and Phylogenetic Studies (2 papers), Cellular Mechanics and Interactions (2 papers), Methane Hydrates and Related Phenomena (2 papers), Formal Methods in Verification (2 papers), Elasticity and Material Modeling (2 papers) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Computational Theory and Mathematics (77 citations), Hardware and Architecture (29 citations), Artificial Intelligence (105 citations), Software (11 citations) and Biomedical Engineering (49 citations). Jonathan M. Young has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Paul Hudak, Renato Perucchio, Yao Jiang, Larry A. Taber, Ester Segal, Christopher C. R. Allen, Brian P. Kelleher, Yunfei Shi, Timofey Skvortsov and William C. Mahaney. Their work appears in journals such as Journal of Biomechanical Engineering, The Science of The Total Environment, Petroleum, LISP and Symbolic Computation and Journal of Opioid Management.

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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