James D. Litster

3.6k citations
60 papers · 2.7k indexed · h-index 29

James D. Litster

59 papers receiving 2.6k citations

Peers

James D. Litster
Comparison fields: 5 of 113
  • Computational Mechanics 2.0k
  • Mechanical Engineering 1.2k
  • Pharmaceutical Science 602
  • Food Science 421
  • Materials Chemistry 375
Replace S.M. Iveson with:
S.M. Iveson Australia
James D. Litster United States
Agba D. Salman United Kingdom
Bryan J. Ennis United States
Gavin Reynolds United Kingdom
Torben Schæfer Denmark
Kei Miyanami Japan
Gabrie M.H. Meesters Netherlands
A.C. Bentham United Kingdom
Andrew E. Bayly United Kingdom
James D. Litster relative to S.M. Iveson Australia S.M. Iveson's profile →
Citations per field
00.5×1.5×
S.M. Iveson · 1×
Citations per year

Countries citing papers authored by James D. Litster

Since Specialization
Citations

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

Fields of papers citing papers by James D. Litster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Litster. 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 James D. Litster. The network helps show where James D. Litster may publish in the future.

Co-authorship network of co-authors of James D. Litster

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Litster. A scholar is included among the top collaborators of James D. Litster based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James D. Litster. James D. Litster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 4
3 6
4 3
5 16
6 2
7 42
8 12
9 25
10 46
11 27
12 16
13 181
14 81
15
Binder-treated segregation-free aluminum alloy powders
4
16
Flow behaviour of dry and cohesive powders in vertical high shear mixers
1
17 105
18 210
19 37
20 40

About James D. Litster

James D. Litster is a scholar working on Computational Mechanics, Pharmaceutical Science and Mechanical Engineering, having authored 60 papers that have together received 2.7k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (39 papers), Mineral Processing and Grinding (17 papers) and Powder Metallurgy Techniques and Materials (17 papers). The work is most often cited by research in Pharmaceutical Science (602 citations), Computational Mechanics (2.0k citations) and Mechanical Engineering (1.2k citations). James D. Litster has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include S.M. Iveson, Lian X. Liu, Karen Hapgood, Rachel M. Smith, Defne Kayrak‐Talay, Allan Waters, B. Florence Scarlett, Philippe A.L. Wauters, Gabrie M.H. Meesters and Edward T. White. Their work appears in journals such as Journal of Colloid and Interface Science, International Journal of Pharmaceutics and Chemical Engineering Science.

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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