Mark Daniel Rintoul

28 papers receiving 1.6k citations

Peers

Mark Daniel Rintoul
Comparison fields: 5 of 125
  • Condensed Matter Physics 257
  • Computational Theory and Mathematics 311
  • Mechanics of Materials 411
  • Materials Chemistry 709
  • Fluid Flow and Transfer Processes 82
Replace Р. Р. Нигматуллин with:
Р. Р. Нигматуллин Russia
Xiantao Li United States
Raphaël Blumenfeld United Kingdom
Alexander S. Balankin Mexico
Michael Schulz Germany
Andrew Lacey United Kingdom
Henrik Gordon Petersen Denmark
Klaus Gärtner Germany
Theodoros E. Karakasidis Greece
Ruslan L. Davidchack United Kingdom
Mark Daniel Rintoul relative to Р. Р. Нигматуллин Russia Р. Р. Нигматуллин's profile →
Citations per field
00.5×5.3×
Р. Р. Нигматуллин · 1×
Citations per year

Countries citing papers authored by Mark Daniel Rintoul

Since Specialization
Citations

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

Fields of papers citing papers by Mark Daniel Rintoul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997238
2 1996224
3 1997210
4 1995189
5 1996161
6 2007107
7 200398
8 199676
9 200265
10 200057
11 199850
12 199938
13 199431
14 200127
15 200625
16 199218
17 199414
18 201514
19 199514
20 199612

About Mark Daniel Rintoul

Mark Daniel Rintoul is a scholar working on Condensed Matter Physics, Mathematical Physics, Materials Chemistry, Signal Processing and Molecular Biology, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (12 papers), Stochastic processes and statistical mechanics (7 papers), Material Dynamics and Properties (6 papers), Data Management and Algorithms (5 papers), Computational Drug Discovery Methods (4 papers), Phase Equilibria and Thermodynamics (3 papers), Composite Material Mechanics (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Condensed Matter Physics (257 citations), Computational Theory and Mathematics (311 citations), Mechanics of Materials (411 citations), Materials Chemistry (709 citations) and Fluid Flow and Transfer Processes (82 citations). Mark Daniel Rintoul has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Salvatore Torquato, S. Torquato, Jean‐Loup Faulon, Hisao Nakanishi, Donald P. Visco, Alexander Tropsha, Tudor I. Oprea, S. Torquato, Shawn Martin and C. L. Y. Yeong. Their work appears in journals such as Physical Review Letters, Journal of Molecular Graphics and Modelling, Statistical Analysis and Data Mining The ASA Data Science Journal, Journal of Colloid and Interface Science and Nature Chemical Biology.

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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