Tom S. Eaves

422 citations
27 papers · 356 · h-index 11

Impact in

Papers in

Tom S. Eaves

24 papers receiving 331 citations

Peers

Tom S. Eaves
Comparison fields: 5 of 85
  • Pharmaceutical Science 144
  • Analytical Chemistry 47
  • Computational Mechanics 77
  • Biomaterials 38
  • Fluid Flow and Transfer Processes 16
Replace Ge Bai with:
Ge Bai United States
Irene Zimmermann Germany
John McGinty United Kingdom
Paul Kippax United Kingdom
Masatoshi Yasuda Japan
Kurt Leschonski Germany
Emmanuela Gavi Switzerland
Brenda Remy United States
Erum Aamir United Kingdom
Yuko Saso Japan
Tom S. Eaves relative to Ge Bai United States Ge Bai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tom S. Eaves

Since Specialization
Citations

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

Fields of papers citing papers by Tom S. Eaves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom S. Eaves. 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 Tom S. Eaves. The network helps show where Tom S. Eaves may publish in the future.

Co-authors

The 16 scholars most cited alongside Tom S. Eaves, 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 Tom S. Eaves Line = papers co-authored together Tom S. Eaves links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 198048
3 198041
4 198039
5 201519
6 197016
7 197116
8 201913
9 201711
10 197210
11 201810
12 19799
13
Effects of surface tension on the tensile strength of beds of moist bulk solids.
19727
14 19736
15 20215
16 20195
17 19795
18 20195
19 20163
20
20213

About Tom S. Eaves

Tom S. Eaves is a scholar working on Computational Mechanics, Pharmaceutical Science, Mechanics of Materials, Materials Chemistry and Computer Networks and Communications, having authored 27 papers that have together received 356 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (7 papers), Granular flow and fluidized beds (6 papers), Drug Solubulity and Delivery Systems (5 papers), Rheology and Fluid Dynamics Studies (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Composite Material Mechanics (3 papers), Oceanographic and Atmospheric Processes (3 papers) and Crystallization and Solubility Studies (3 papers). The work is most often cited by research in Pharmaceutical Science (144 citations), Analytical Chemistry (47 citations), Computational Mechanics (77 citations), Biomaterials (38 citations) and Fluid Flow and Transfer Processes (16 citations). Tom S. Eaves has collaborated with scholars based in United Kingdom, Canada and Switzerland. Frequent co-authors include David Grant, Trevor Jones, John R. Lister, Basile Audoly, P.‐T. Brun, C. P. Caulfield, Neil M. Ribe, K. A. Bedford, Neil J. Balmforth and Duncan R. Hewitt. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Journal of Fluid Mechanics, Journal of Pharmaceutical Sciences, Physical Review Fluids and Journal of Nonlinear Science.

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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