Mark J. Biggs

104 papers receiving 3.1k citations

Peers

Mark J. Biggs
Comparison fields: 5 of 109
  • Renewable Energy, Sustainability and the Environment 513
  • Materials Chemistry 1.1k
  • Polymers and Plastics 324
  • Electronic, Optical and Magnetic Materials 372
  • Water Science and Technology 277
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Countries citing papers authored by Mark J. Biggs

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Biggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202414
2 20188
3 2017239
4 201781
5 20176
6 201637
7 201513
8 201530
9 201255
10
Free energy of adsorption of proteins at fluid/solid interfaces using molecular simulation
20111
11 201113
12
Comparison of adsorption-based desalination plant performance models
20101
13
Towards in Silico Rational De Novo Design of Peptides for Inorganic Interfaces
20081
14
Particle Dynamics and Granular Temperatures in Dense Fluidised Beds as Revealed by Multiple Light Scattering Techniques
20081
15 200821
16
Explicit Numerical Simulation of Binary Drop Collision in a Linear Shear Field at Finite Reynolds Numbers
20070
17 20071
18 200616
19
Structure Models of Porous Carbons
200310
20 200133

About Mark J. Biggs

Mark J. Biggs is a scholar working on Computational Mechanics, Ocean Engineering, Renewable Energy, Sustainability and the Environment, Materials Chemistry and Biomedical Engineering, having authored 106 papers that have together received 3.2k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (19 papers), Particle Dynamics in Fluid Flows (11 papers), Phase Equilibria and Thermodynamics (10 papers), Material Dynamics and Properties (9 papers), Advancements in Battery Materials (9 papers), Protein Structure and Dynamics (8 papers), Advanced Battery Materials and Technologies (8 papers) and Adsorption and Cooling Systems (8 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (513 citations), Materials Chemistry (1.1k citations), Polymers and Plastics (324 citations), Electronic, Optical and Magnetic Materials (372 citations) and Water Science and Technology (277 citations). Mark J. Biggs has collaborated with scholars based in Australia, United Kingdom and Spain. Frequent co-authors include Joseph G. Shapter, Munkhbayar Batmunkh, Milija Mijajlović, Cheng Hu, A. Buts, Vladimir Živković, Eric Hu, Matthew Penna, Cameron J. Shearer and Phillip Pendleton. Their work appears in journals such as Chemical Engineering Science, Carbon, Process Safety and Environmental Protection, Langmuir and Microporous and Mesoporous Materials.

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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