David J. Lamberto

768 citations
17 papers · 619 · h-index 10

Impact in

Papers in

David J. Lamberto

15 papers receiving 597 citations

Peers

David J. Lamberto
Comparison fields: 5 of 80
  • Computational Mechanics 222
  • Pharmaceutical Science 64
  • Fluid Flow and Transfer Processes 60
  • Biomedical Engineering 338
  • Analytical Chemistry 56
Replace Edward L. Paul with:
Edward L. Paul United States
E. S. Szalai United States
Frans L. Muller United Kingdom
Mehakpreet Singh Ireland
J Kukura United States
Dean Brone United States
Albert Alexander United States
Avik Sarkar United States
Frances E. Pereira United Kingdom
René David France
David J. Lamberto relative to Edward L. Paul United States Edward L. Paul's profile →
Citations per field
00.5×2.8×
Edward L. Paul · 1×
Citations per year

Countries citing papers authored by David J. Lamberto

Since Specialization
Citations

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

Fields of papers citing papers by David J. Lamberto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1996188
2 1999144
3 200170
4 201448
5 201743
6 201135
7 202128
8 201325
9 201712
10 202110
11 20225
12 20215
13 20233
14 20152
15 20231
16 20240
17 20250

About David J. Lamberto

David J. Lamberto is a scholar working on Materials Chemistry, Biomedical Engineering, Pharmaceutical Science, Computational Mechanics and Food Science, having authored 17 papers that have together received 619 indexed citations. Recurring topics across this work include Crystallization and Solubility Studies (7 papers), Fluid Dynamics and Mixing (4 papers), Granular flow and fluidized beds (4 papers), Drug Solubulity and Delivery Systems (3 papers), Microencapsulation and Drying Processes (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Thermal and Kinetic Analysis (1 paper) and Cyclone Separators and Fluid Dynamics (1 paper). The work is most often cited by research in Computational Mechanics (222 citations), Pharmaceutical Science (64 citations), Fluid Flow and Transfer Processes (60 citations), Biomedical Engineering (338 citations) and Analytical Chemistry (56 citations). David J. Lamberto has collaborated with scholars based in United States, Singapore and Poland. Frequent co-authors include Fernando J. Muzzio, Mario Moisés Álvarez, Anna Lee Tonkovich, P. D. Swanson, Elizabeth Kwong, Timothy Rhodes, Lina Liu, Todd D. Nelson, Annette Bak and Dennis Leung. Their work appears in journals such as Organic Process Research & Development, Chemical Engineering Science, Journal of Pharmaceutical Sciences, Powder Technology and International Journal of Pharmaceutics.

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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