Louisa H. Smith

82 total papers · 792 total citations
34 papers, 433 citations indexed

About

Louisa H. Smith is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Statistics and Probability. According to data from OpenAlex, Louisa H. Smith has authored 34 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pediatrics, Perinatology and Child Health, 8 papers in Obstetrics and Gynecology and 8 papers in Statistics and Probability. Recurrent topics in Louisa H. Smith's work include Advanced Causal Inference Techniques (5 papers), Pregnancy and preeclampsia studies (5 papers) and COVID-19 Impact on Reproduction (4 papers). Louisa H. Smith is often cited by papers focused on Advanced Causal Inference Techniques (5 papers), Pregnancy and preeclampsia studies (5 papers) and COVID-19 Impact on Reproduction (4 papers). Louisa H. Smith collaborates with scholars based in United States, Switzerland and Australia. Louisa H. Smith's co-authors include Tyler J. VanderWeele, Sonia Hernández–Dı́az, Diego F. Wyszynski, Gary S. Leiserowitz, Jai Min Ryu, John L. Dalrymple, Anthony H. Russell, Sidney Scudder, Sonja A. Rasmussen and Anna M. Modest and has published in prestigious journals such as Stroke, American Journal of Epidemiology and Journal of Clinical Epidemiology.

In The Last Decade

Louisa H. Smith

30 papers receiving 420 citations

Author Peers

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

Author						Papers	Cites
Louisa H. Smith	151	103	76	69	65	34	433
Sydney K. Willis	126 0.8×	145 1.4×	158 2.1×	182 2.6×	2 0.0×	35	461
Katherine Kortsmit	104 0.7×	262 2.5×	134 1.8×	74 1.1×	2 0.0×	29	456
Siobhan Gruschow	27 0.2×	77 0.7×	74 1.0×	112 1.6×	3 0.0×	18	452
Lisa M. Pollack	51 0.3×	64 0.6×	43 0.6×	36 0.5×	2 0.0×	28	379
Rashmi Shah	149 1.0×	298 2.9×	186 2.4×	46 0.7×	3 0.0×	22	474
Yukari Yaju	46 0.3×	72 0.7×	57 0.8×	5 0.1×	7 0.1×	22	442
John Stilwell	18 0.1×	50 0.5×	26 0.3×	23 0.3×	6 0.1×	35	399
Susanne Georgsson	197 1.3×	129 1.3×	238 3.1×	17 0.2×	2 0.0×	36	380
B.W. Mol	187 1.2×	147 1.4×	252 3.3×	147 2.1×	2 0.0×	23	427
Mara E. Murray Horwitz	68 0.5×	140 1.4×	87 1.1×	13 0.2×	2 0.0×	27	407

Countries citing papers authored by Louisa H. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Louisa H. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Louisa H. Smith. 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 Louisa H. Smith. The network helps show where Louisa H. Smith may publish in the future.

Co-authorship network of co-authors of Louisa H. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Louisa H. Smith. A scholar is included among the top collaborators of Louisa H. Smith 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 Louisa H. Smith. Louisa H. Smith 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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