Jay D. Schieber

3.5k citations
124 papers · 2.8k indexed · h-index 31

Impact in

Papers in

Jay D. Schieber

124 papers receiving 2.7k citations

Peers

Jay D. Schieber
Comparison fields: 5 of 103
  • Fluid Flow and Transfer Processes 1.9k
  • Polymers and Plastics 1.4k
  • Materials Chemistry 1.0k
  • Biomedical Engineering 592
  • Biomaterials 149
Replace Alexei E. Likhtman with:
Alexei E. Likhtman United Kingdom
David C. Venerus United States
Jean‐François Palierne France
Paul A. O’Connell United States
N. G. McCrum United Kingdom
Linxi Zhang China
Arturo A. Ayón United States
Thomas Salez France
Masao Doi Japan
Dominique Barthès‐Biesel France
Jay D. Schieber relative to Alexei E. Likhtman United Kingdom Alexei E. Likhtman's profile →
Citations per field
00.5×1.5×
Alexei E. Likhtman · 1×
Citations per year

Countries citing papers authored by Jay D. Schieber

Since Specialization
Citations

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

Fields of papers citing papers by Jay D. Schieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay D. Schieber. 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 Jay D. Schieber. The network helps show where Jay D. Schieber may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003145
2 1998135
3 200383
4 201682
5 200681
6 199874
7 201674
8 201461
9 199959
10 200958
11 201257
12 201356
13 201549
14 201545
15 200345
16 200744
17 201044
18 201342
19 201439
20 201238

About Jay D. Schieber

Jay D. Schieber is a scholar working on Fluid Flow and Transfer Processes, Polymers and Plastics, Biomedical Engineering, Materials Chemistry and Pulmonary and Respiratory Medicine, having authored 124 papers that have together received 2.8k indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (89 papers), Polymer crystallization and properties (39 papers), Material Dynamics and Properties (34 papers), Blood properties and coagulation (18 papers), Phase Equilibria and Thermodynamics (16 papers), Force Microscopy Techniques and Applications (14 papers), Elasticity and Material Modeling (11 papers) and Polymer Foaming and Composites (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.9k citations), Polymers and Plastics (1.4k citations), Materials Chemistry (1.0k citations), Biomedical Engineering (592 citations) and Biomaterials (149 citations). Jay D. Schieber has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include David C. Venerus, Chi C. Hua, Marat Andreev, Tsutomu Indei, Andrés Córdoba, Joseph Orgel, Sameer Varma, Rudi J. A. Steenbakkers, Juan Pablo and Hans Christian Öttinger. Their work appears in journals such as Journal of Rheology, The Journal of Chemical Physics, Macromolecules, Rheologica Acta and Journal of Non-Newtonian Fluid Mechanics.

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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