Andrea Lamont

54 total papers · 1.2k total citations
40 papers, 767 citations indexed

About

Andrea Lamont is a scholar working on General Health Professions, Statistics and Probability and Clinical Psychology. According to data from OpenAlex, Andrea Lamont has authored 40 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in General Health Professions, 8 papers in Statistics and Probability and 5 papers in Clinical Psychology. Recurrent topics in Andrea Lamont's work include Health Policy Implementation Science (14 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). Andrea Lamont is often cited by papers focused on Health Policy Implementation Science (14 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). Andrea Lamont collaborates with scholars based in United States, United Kingdom and Canada. Andrea Lamont's co-authors include Abraham Wandersman, Jonathan Scaccia, Brittany S. Cook, M. Lee Van Horn, Rinad S. Beidas, J. Sylvan Katz, Patrick S. Malone, Daniel J. Feaster, Thomas Jaki and Katherine E. Masyn and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Child Psychology and Psychiatry.

In The Last Decade

Andrea Lamont

36 papers receiving 730 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andrea Lamont 281 125 82 80 80 40 767
Robert M. Pruzek 121 0.4× 85 0.7× 124 1.5× 74 0.9× 65 0.8× 39 904
M. Cameron Hay 268 1.0× 92 0.7× 39 0.5× 25 0.3× 33 0.4× 31 735
Hannah Pazderka 105 0.4× 178 1.4× 42 0.5× 68 0.8× 39 0.5× 30 789
Pan Wu 83 0.3× 102 0.8× 96 1.2× 26 0.3× 73 0.9× 33 759
Gordon Scott Bonham 176 0.6× 250 2.0× 27 0.3× 35 0.4× 86 1.1× 24 797
Wei‐Ming Luh 196 0.7× 118 0.9× 137 1.7× 93 1.2× 20 0.3× 47 807
Mauricio Garnier‐Villarreal 107 0.4× 270 2.2× 57 0.7× 44 0.6× 56 0.7× 71 860
Elizabeth Coates 253 0.9× 66 0.5× 45 0.5× 34 0.4× 93 1.2× 42 721
Mathilde G. E. Verdam 172 0.6× 86 0.7× 21 0.3× 49 0.6× 22 0.3× 53 815
Christin Juhnke 292 1.0× 174 1.4× 27 0.3× 27 0.3× 99 1.2× 34 799

Countries citing papers authored by Andrea Lamont

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Lamont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Lamont

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Lamont. A scholar is included among the top collaborators of Andrea Lamont 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 Andrea Lamont. Andrea Lamont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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