William E. Uspal

2.8k citations
47 papers · 2.2k · h-index 23

Impact in

Papers in

William E. Uspal

47 papers receiving 2.2k citations

Peers

William E. Uspal
Comparison fields: 5 of 95
  • Condensed Matter Physics 1.6k
  • Biomedical Engineering 1.3k
  • Statistical and Nonlinear Physics 263
  • Materials Chemistry 589
  • Mechanical Engineering 434
Replace Tyler N. Shendruk with:
Tyler N. Shendruk United Kingdom
Timothy R. Kline United States
Amir Nourhani United States
Patrick T. Underhill United States
Kersten Hahn Germany
Ming Han China
Dušan Babič Slovenia
Tieyan Si China
Thorsten Auth Germany
Federico Mecarini Italy
William E. Uspal relative to Tyler N. Shendruk United Kingdom Tyler N. Shendruk's profile →
Citations per field
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Citations per year

Countries citing papers authored by William E. Uspal

Since Specialization
Citations

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

Fields of papers citing papers by William E. Uspal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Uspal. 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 William E. Uspal. The network helps show where William E. Uspal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016347
2 2014207
3 2008180
4 2016134
5 2020128
6 2018113
7 2018106
8 201686
9 201586
10 201379
11 201877
12 201277
13 201871
14 201654
15 202243
16 201840
17 201840
18 202137
19
Axisymmetric spheroidal squirmers and self-diffusiophoretic particles
202030
20 202028

About William E. Uspal

William E. Uspal is a scholar working on Condensed Matter Physics, Biomedical Engineering, Statistical and Nonlinear Physics, Materials Chemistry and Ocean Engineering, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include Micro and Nano Robotics (39 papers), Microfluidic and Bio-sensing Technologies (25 papers), Pickering emulsions and particle stabilization (17 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers), Molecular Communication and Nanonetworks (8 papers), Modular Robots and Swarm Intelligence (5 papers), Particle Dynamics in Fluid Flows (4 papers) and Diffusion and Search Dynamics (2 papers). The work is most often cited by research in Condensed Matter Physics (1.6k citations), Biomedical Engineering (1.3k citations), Statistical and Nonlinear Physics (263 citations), Materials Chemistry (589 citations) and Mechanical Engineering (434 citations). William E. Uspal has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Mihail N. Popescu, Mykola Tasinkevych, S. Dietrich, Juliane Simmchen, Samuel Sánchez, Jaideep Katuri, Patrick S. Doyle, Anna C. Balazs, Alexander Alexeev and Peer Fischer. Their work appears in journals such as Soft Matter, ACS Nano, Science Advances, The Journal of Chemical Physics and Advanced Functional Materials.

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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