Mohamed Daoud

20 papers receiving 561 citations

Peers

Mohamed Daoud
Comparison fields: 5 of 77
  • Surfaces, Coatings and Films 107
  • Fluid Flow and Transfer Processes 51
  • Condensed Matter Physics 97
  • Physical and Theoretical Chemistry 61
  • Food Science 116
Replace В. А. Иванов with:
В. А. Иванов Russia
M. Benhamou Morocco
Michael P. Howard United States
Domenico Truzzolillo France
J.-C. Desplat United Kingdom
É. G. Timoshenko Ireland
Pascal Panizza France
L. Leibler France
Andrzej Sikorski Poland
J.E. Rubio Spain
Mohamed Daoud relative to В. А. Иванов Russia В. А. Иванов's profile →
Citations per field
00.5×3.5×
В. А. Иванов · 1×
Citations per year

Countries citing papers authored by Mohamed Daoud

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Daoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985167
2 199962
3 200447
4 200841
5 199941
6 199436
7 198331
8 199427
9 201024
10 200324
11 199520
12 200116
13 19949
14 20048
15 20097
16 20117
17 20116
18 20064
19 20064
20 20003

About Mohamed Daoud

Mohamed Daoud is a scholar working on Surfaces, Coatings and Films, Food Science, Organic Chemistry, Materials Chemistry and Physical and Theoretical Chemistry, having authored 22 papers that have together received 586 indexed citations. Recurring topics across this work include Proteins in Food Systems (7 papers), Polymer Surface Interaction Studies (6 papers), Surfactants and Colloidal Systems (6 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Electrostatics and Colloid Interactions (3 papers), Material Dynamics and Properties (3 papers), Force Microscopy Techniques and Applications (2 papers) and Phytase and its Applications (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (107 citations), Fluid Flow and Transfer Processes (51 citations), Condensed Matter Physics (97 citations), Physical and Theoretical Chemistry (61 citations) and Food Science (116 citations). Mohamed Daoud has collaborated with scholars based in France, Tunisia and Germany. Frequent co-authors include Nino Boccara, Roger Douillard, Véronique Aguié‐Béghin, Claudine E. Williams, Emmanuel Leclerc, Ralph H. Colby, Michael Rubinstein, P. Pincus, W. H. Stockmayer and T. A. Witten. Their work appears in journals such as Macromolecules, Macromolecular Theory and Simulations, Journal of Colloid and Interface Science, Langmuir and Polymer.

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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