Daniel Hershey

45 papers receiving 430 citations

Peers

Daniel Hershey
Comparison fields: 5 of 128
  • Aging 15
  • Neuropsychology and Physiological Psychology 8
  • Fluid Flow and Transfer Processes 20
  • Computational Mechanics 51
  • Physical and Theoretical Chemistry 20
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Takashi Oki Japan
Jerry Aroesty United States
R. L. Williams United Kingdom
Peter Spiegler United States
G. Putz Austria
J.D. Jenkins United Kingdom
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Citations per year

Countries citing papers authored by Daniel Hershey

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hershey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Daniel Hershey, 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 Daniel Hershey Line = papers co-authored together Daniel Hershey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196786
2 201447
3 196834
4 201427
5 196826
6 196625
7 196725
8 201324
9 198721
10 200917
11
A new age-scale for humans
198012
12 196410
13 20217
14 19886
15 20216
16 19736
17
Lifespan and factors affecting it;: Aging theories in gerontology
19746
18 20205
19 19735
20 19675

About Daniel Hershey

Daniel Hershey is a scholar working on Pulmonary and Respiratory Medicine, Computational Mechanics, Biomedical Engineering, Physiology and Fluid Flow and Transfer Processes, having authored 50 papers that have together received 458 indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Blood properties and coagulation (3 papers), Complex Systems and Decision Making (3 papers), Fuel Cells and Related Materials (2 papers), Phase Equilibria and Thermodynamics (2 papers), Field-Flow Fractionation Techniques (2 papers) and Hospital Admissions and Outcomes (2 papers). The work is most often cited by research in Aging (15 citations), Neuropsychology and Physiological Psychology (8 citations), Fluid Flow and Transfer Processes (20 citations), Computational Mechanics (51 citations) and Physical and Theoretical Chemistry (20 citations). Daniel Hershey has collaborated with scholars based in United States. Frequent co-authors include William Lee, Erin Stucky Fisher, Mark W. Shen, Kohei Hasegawa, Carlos A. Camargo, Stephen J. Teach, Jonathan M. Mansbach, Sunday Clark, Pedro A. Piedra and Ashley F. Sullivan. Their work appears in journals such as AIChE Journal, The Journal of Physical Chemistry, Hospital Pediatrics, The Pediatric Infectious Disease Journal and The Canadian Journal of Chemical Engineering.

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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