Leon Farber

21 papers receiving 1.1k citations

Peers

Leon Farber
Comparison fields: 5 of 71
  • Computational Mechanics 435
  • Drug Discovery 4
  • Pharmaceutical Science 88
  • Materials Chemistry 402
  • Electronic, Optical and Magnetic Materials 107
Replace Amarjit Singh Dhaliwal with:
Amarjit Singh Dhaliwal India
André Lallemand France
Hao Tian China
Atsuko Shimosaka Japan
A. Janse van Vuuren South Africa
P. Magudapathy India
Mathilde Reyssat France
Parthasakha Neogi United States
Toyokazu Yokoyama Japan
Arnaud Erriguible France
Leon Farber relative to Amarjit Singh Dhaliwal India Amarjit Singh Dhaliwal's profile →
Citations per field
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Amarjit Singh Dhaliwal · 1×
Citations per year

Countries citing papers authored by Leon Farber

Since Specialization
Citations

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

Fields of papers citing papers by Leon Farber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008181
2 2003177
3 2003172
4 2006133
5 200587
6 200856
7 200355
8 200750
9 200248
10 200340
11 200840
12 201239
13 200235
14 200334
15 200514
16 20078
17
Hydrophobic nucleation in particle agglomeration
20067
18 20176
19 20186
20 20204

About Leon Farber

Leon Farber is a scholar working on Computational Mechanics, Materials Chemistry, Radiation, Surfaces, Coatings and Films and Pharmaceutical Science, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (15 papers), Ferroelectric and Piezoelectric Materials (4 papers), Crystallization and Solubility Studies (3 papers), Microwave Dielectric Ceramics Synthesis (2 papers), Advanced X-ray Imaging Techniques (2 papers), Dielectric properties of ceramics (1 paper), Drug Solubulity and Delivery Systems (1 paper) and Crystal Structures and Properties (1 paper). The work is most often cited by research in Computational Mechanics (435 citations), Drug Discovery (4 citations), Pharmaceutical Science (88 citations), Materials Chemistry (402 citations) and Electronic, Optical and Magnetic Materials (107 citations). Leon Farber has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include James N. Michaels, Gabriel I. Tardos, Peter K. Davies, Albina Y. Borisevich, Irina Molodetsky, Hui Wu, Karen Hapgood, Robert S. Roth, Igor Levin and Tammy G. Amos. Their work appears in journals such as Powder Technology, International Journal of Pharmaceutics, Journal of the American Ceramic Society, Chemical Engineering Science and Journal of Solid State Chemistry.

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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