J. Meadows

1.2k citations
28 papers · 1.1k indexed · h-index 18

Impact in

Papers in

J. Meadows

28 papers receiving 1.0k citations

Peers

J. Meadows
Comparison fields: 5 of 87
  • Fluid Flow and Transfer Processes 163
  • Molecular Medicine 102
  • Food Science 344
  • Surfaces, Coatings and Films 131
  • Physical and Theoretical Chemistry 147
Replace Guy Müller with:
Guy Müller France
E. Pezron France
K. Te Nijenhuis Netherlands
Shahriar Sajjadi United Kingdom
Samuel Guillot France
Joseph O. Carnali United States
Abdel Khoukh France
Rossana Pasquino Italy
Hisashi Odani Japan
Véronique Sadtler France
J. Meadows relative to Guy Müller France Guy Müller's profile →
Citations per field
00.5×3.1×
Guy Müller · 1×
Citations per year

Countries citing papers authored by J. Meadows

Since Specialization
Citations

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

Fields of papers citing papers by J. Meadows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 201747
3 201654
4 201315
5 201280
6 200314
7 200212
8 200194
9 200017
10 19986
11 199621
12 19966
13 199526
14 199521
15 199434
16 199228
17 1992135
18 199088
19 19903
20 198928

About J. Meadows

J. Meadows is a scholar working on Fluid Flow and Transfer Processes, Surfaces, Coatings and Films, Physical and Theoretical Chemistry, Food Science and Filtration and Separation, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Surfactants and Colloidal Systems (10 papers), Rheology and Fluid Dynamics Studies (10 papers), Polysaccharides Composition and Applications (10 papers), Electrostatics and Colloid Interactions (7 papers), Polymer Surface Interaction Studies (7 papers), Blood properties and coagulation (5 papers), Proteins in Food Systems (5 papers) and Polysaccharides and Plant Cell Walls (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (163 citations), Molecular Medicine (102 citations), Food Science (344 citations), Surfaces, Coatings and Films (131 citations) and Physical and Theoretical Chemistry (147 citations). J. Meadows has collaborated with scholars based in United Kingdom, France and Iran. Frequent co-authors include Peter A. Williams, G. O. Phillips, Christer Viebke, R. Tanaka, Ian Ratcliffe, James N. Smith, Éric Pelletier, Paul Fitzpatrick, M J Garvey and Alexandra Montembault. Their work appears in journals such as Langmuir, Carbohydrate Polymers, Journal of Colloid and Interface Science, Macromolecules and Biopolymers.

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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