Daniel Corbett

32 papers receiving 1.1k citations

Peers

Daniel Corbett
Comparison fields: 5 of 47
  • Electronic, Optical and Magnetic Materials 433
  • Mechanical Engineering 759
  • Fluid Flow and Transfer Processes 41
  • Biomedical Engineering 122
  • Physical and Theoretical Chemistry 33
Replace Vladimir P. Toshchevikov with:
Vladimir P. Toshchevikov Russia
Dirk Romeis Germany
Lena Lopatina United States
Paul Z. Hanakata United States
Pedro A. Sánchez Austria
Daniel J. Magagnosc United States
András Büki Hungary
Michael Wendlandt Switzerland
Amit Shavit United States
Daniel Corbett relative to Vladimir P. Toshchevikov Russia Vladimir P. Toshchevikov's profile →
Citations per field
00.5×1.5×1.8×
Vladimir P. Toshchevikov · 1×
Citations per year

Countries citing papers authored by Daniel Corbett

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Corbett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008169
2 2007110
3 201089
4 200681
5 200980
6 200862
7 200855
8 200945
9 201044
10 200843
11 200840
12 201534
13 201733
14 201030
15 201129
16 200828
17 201821
18 201219
19 201719
20 202017

About Daniel Corbett

Daniel Corbett is a scholar working on Electronic, Optical and Magnetic Materials, Mechanical Engineering, Fluid Flow and Transfer Processes, Biomedical Engineering and Physical and Theoretical Chemistry, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liquid Crystal Research Advancements (14 papers), Advanced Materials and Mechanics (13 papers), Rheology and Fluid Dynamics Studies (4 papers), Dielectric materials and actuators (4 papers), Lattice Boltzmann Simulation Studies (3 papers), Nonlinear Optical Materials Studies (2 papers), Protein purification and stability (2 papers) and Advanced Numerical Methods in Computational Mathematics (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (433 citations), Mechanical Engineering (759 citations), Fluid Flow and Transfer Processes (41 citations), Biomedical Engineering (122 citations) and Physical and Theoretical Chemistry (33 citations). Daniel Corbett has collaborated with scholars based in United Kingdom, China and Spain. Frequent co-authors include M. Warner, Casper L. van Oosten, Carl D. Modes, Dirk Jan Broer, Cees W. M. Bastiaansen, Alessandro Patti, Alejandro Cuetos, Eugene Michael Terentjev, K. K. Hon and Xue‐Feng Yuan. Their work appears in journals such as Soft Matter, Journal of Non-Newtonian Fluid Mechanics, Physical Review Letters, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Physical Review A.

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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