Eline Sandvig Andersen

36 total papers · 451 total citations
23 papers, 332 citations indexed

About

Eline Sandvig Andersen is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health and Artificial Intelligence. According to data from OpenAlex, Eline Sandvig Andersen has authored 23 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Artificial Intelligence. Recurrent topics in Eline Sandvig Andersen's work include Urinary Tract Infections Management (5 papers), Machine Learning in Healthcare (4 papers) and Pediatric Urology and Nephrology Studies (4 papers). Eline Sandvig Andersen is often cited by papers focused on Urinary Tract Infections Management (5 papers), Machine Learning in Healthcare (4 papers) and Pediatric Urology and Nephrology Studies (4 papers). Eline Sandvig Andersen collaborates with scholars based in Denmark, Sweden and Spain. Eline Sandvig Andersen's co-authors include Maria Nyholm, Barry Hutchings, Bente Klarlund Pedersen, Camilla Schéele, Bo Feldt‐Rasmussen, Ivan Brandslund, Søren Daugaard, Sarah Heywood, Naja Zenius Jespersen and Lone Peijs and has published in prestigious journals such as Blood, Scientific Reports and Clinical Chemistry.

In The Last Decade

Eline Sandvig Andersen

21 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
Eline Sandvig Andersen	83	60	58	56	53	23	332
Yohei Ogawa	66 0.8×	77 1.3×	66 1.1×	52 0.9×	52 1.0×	34	321
Rocío Puig	132 1.6×	26 0.4×	44 0.8×	40 0.7×	29 0.5×	17	312
Charalampos Tsentidis	49 0.6×	96 1.6×	71 1.2×	62 1.1×	53 1.0×	26	369
Krishna Yanamandra	48 0.6×	42 0.7×	78 1.3×	33 0.6×	71 1.3×	18	348
Feneli Karachaliou	61 0.7×	41 0.7×	55 0.9×	99 1.8×	33 0.6×	29	384
Joel Steelman	62 0.7×	81 1.4×	36 0.6×	77 1.4×	63 1.2×	14	395
R. A. Goodbody	119 1.4×	67 1.1×	39 0.7×	51 0.9×	14 0.3×	23	366
Jen‐Jar Lin	45 0.5×	108 1.8×	24 0.4×	23 0.4×	56 1.1×	23	376
Monika Frysz	53 0.6×	72 1.2×	40 0.7×	50 0.9×	67 1.3×	29	375
P Aula	40 0.5×	80 1.3×	34 0.6×	48 0.9×	138 2.6×	16	341

Countries citing papers authored by Eline Sandvig Andersen

Since Specialization

Citations

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

Fields of papers citing papers by Eline Sandvig Andersen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eline Sandvig Andersen. 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 Eline Sandvig Andersen. The network helps show where Eline Sandvig Andersen may publish in the future.

Co-authorship network of co-authors of Eline Sandvig Andersen

This figure shows the co-authorship network connecting the top 25 collaborators of Eline Sandvig Andersen. A scholar is included among the top collaborators of Eline Sandvig Andersen 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 Eline Sandvig Andersen. Eline Sandvig Andersen 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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