Jeremy Agte

28 total papers · 880 total citations
23 papers, 639 citations indexed

About

Jeremy Agte is a scholar working on Aerospace Engineering, Statistics, Probability and Uncertainty and Computational Theory and Mathematics. According to data from OpenAlex, Jeremy Agte has authored 23 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Aerospace Engineering, 11 papers in Statistics, Probability and Uncertainty and 7 papers in Computational Theory and Mathematics. Recurrent topics in Jeremy Agte's work include Probabilistic and Robust Engineering Design (11 papers), Advanced Aircraft Design and Technologies (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Jeremy Agte is often cited by papers focused on Probabilistic and Robust Engineering Design (11 papers), Advanced Aircraft Design and Technologies (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Jeremy Agte collaborates with scholars based in United States, Germany and Netherlands. Jeremy Agte's co-authors include Jaroslaw Sobieszczanski‐Sobieski, Robert R. Sandusky, Olivier de Weck, Alan Morris, Nicholas K. Borer, Kelly Cohen, Jonathan Black, Sho Sato, Robert L. Bettinger and Richard Cobb and has published in prestigious journals such as AIAA Journal, SAE technical papers on CD-ROM/SAE technical paper series and Structural and Multidisciplinary Optimization.

In The Last Decade

Jeremy Agte

22 papers receiving 589 citations

Author Peers

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

Author Last Decade Papers Cites
Jeremy Agte 296 203 160 115 109 23 639
Evin Cramer 282 1.0× 182 0.9× 260 1.6× 89 0.8× 128 1.2× 26 767
Robert R. Sandusky 296 1.0× 200 1.0× 124 0.8× 114 1.0× 87 0.8× 11 576
I. P. Sobieski 373 1.3× 192 0.9× 173 1.1× 131 1.1× 168 1.5× 8 681
Ravindra V. Tappeta 388 1.3× 209 1.0× 46 0.3× 74 0.6× 24 0.2× 25 616
S. Tosserams 231 0.8× 144 0.7× 28 0.2× 88 0.8× 45 0.4× 15 568
Kenneth Moore 172 0.6× 152 0.7× 422 2.6× 41 0.4× 280 2.6× 20 750
Anoop Mullur 354 1.2× 249 1.2× 50 0.3× 60 0.5× 18 0.2× 26 646
Brian M. Rutherford 163 0.6× 345 1.7× 66 0.4× 46 0.4× 25 0.2× 19 689
Pier Davide Ciampa 97 0.3× 112 0.6× 228 1.4× 111 1.0× 297 2.7× 65 601
Bret A. Naylor 135 0.5× 121 0.6× 378 2.4× 36 0.3× 281 2.6× 10 667

Countries citing papers authored by Jeremy Agte

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Agte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Agte

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