J. Garside

3.3k citations
113 papers · 4.6k · h-index 37

Impact in

Papers in

J. Garside

108 papers receiving 4.3k citations

Peers

J. Garside
Comparison fields: 5 of 129
  • Materials Chemistry 2.8k
  • Computational Mechanics 396
  • Biomaterials 189
  • Ocean Engineering 190
  • Filtration and Separation 20
Replace AG Jones with:
AG Jones United Kingdom
Alfons Mersmann Germany
Ján Šefčı́k United Kingdom
Hermann Nirschl Germany
Hua Wu Switzerland
Srdjan Nešić United States
Rajinder Pal Canada
Michael J. Hounslow United Kingdom
Matthias Kind Germany
B. Florence Scarlett Netherlands
J. Garside relative to AG Jones United Kingdom AG Jones's profile →
Citations per field
00.5×2×2.5×
AG Jones · 1×
Citations per year

Countries citing papers authored by J. Garside

Since Specialization
Citations

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

Fields of papers citing papers by J. Garside

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977425
2 2002319
3 1985237
4 2000207
5 1980162
6 1986131
7
Advances in Industrial Crystallization
1991130
8
Measurement of Crystal Growth and Nucleation Rates
2002124
9 1971114
10 199794
11 197593
12 198089
13 197688
14 197879
15 198578
16
From Molecules to Crystallizers:An Introduction to Crystallization
200077
17 198571
18 198869
19 198667
20 198365

About J. Garside

J. Garside is a scholar working on Materials Chemistry, Pulmonary and Respiratory Medicine, Computational Mechanics, Biomaterials and Fluid Flow and Transfer Processes, having authored 113 papers that have together received 4.6k indexed citations. Recurring topics across this work include Crystallization and Solubility Studies (87 papers), Kidney Stones and Urolithiasis Treatments (13 papers), Calcium Carbonate Crystallization and Inhibition (3 papers), Granular flow and fluidized beds (2 papers), nanoparticles nucleation surface interactions (2 papers), Rheology and Fluid Dynamics Studies (2 papers), Solidification and crystal growth phenomena (2 papers) and Food Drying and Modeling (1 paper). The work is most often cited by research in Materials Chemistry (2.8k citations), Computational Mechanics (396 citations), Biomaterials (189 citations), Ocean Engineering (190 citations) and Filtration and Separation (20 citations). J. Garside has collaborated with scholars based in United Kingdom, Czechia and Israel. Frequent co-authors include Roger J. Davey, M. A. Larson, Narayan S. Tavare, N. J. Blacklock, Hongyuan Wei, J.W. Mullin, Pieter Bennema, R. Janssen–van Rosmalen, Jaroslav Nývlt and AG Jones. Their work appears in journals such as Journal of Crystal Growth, Chemical Engineering Science, AIChE Journal, Chemical Engineering Communications and Process Safety and Environmental Protection.

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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