Siv Skarstein

39 total papers · 525 total citations
26 papers, 309 citations indexed

About

Siv Skarstein is a scholar working on Pediatrics, Perinatology and Child Health, Clinical Psychology and General Health Professions. According to data from OpenAlex, Siv Skarstein has authored 26 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pediatrics, Perinatology and Child Health, 12 papers in Clinical Psychology and 6 papers in General Health Professions. Recurrent topics in Siv Skarstein's work include Pediatric Pain Management Techniques (10 papers), Child and Adolescent Psychosocial and Emotional Development (9 papers) and Infant Development and Preterm Care (5 papers). Siv Skarstein is often cited by papers focused on Pediatric Pain Management Techniques (10 papers), Child and Adolescent Psychosocial and Emotional Development (9 papers) and Infant Development and Preterm Care (5 papers). Siv Skarstein collaborates with scholars based in Norway, Bangladesh and Puerto Rico. Siv Skarstein's co-authors include Sølvi Helseth, Milada Cvancarova Småstuen, Gudrun Rohde, Kristin Haraldstad, Lisbeth Gravdal Kvarme, Per Lagerløv, Marit Leegaard, Dawit Abebe, Elin Olaug Rosvold and Eva Hilland and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Public Health and Journal of Psychosomatic Research.

In The Last Decade

Siv Skarstein

23 papers receiving 308 citations

Author Peers

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

Author						Papers	Cites
Siv Skarstein	128	114	54	51	51	26	309
Nina Misvær	98 0.8×	61 0.5×	64 1.2×	66 1.3×	93 1.8×	22	315
Alexandra Butler	103 0.8×	48 0.4×	45 0.8×	81 1.6×	56 1.1×	20	311
Jorge Palacio‐Vieira	100 0.8×	81 0.7×	34 0.6×	113 2.2×	58 1.1×	19	301
YeoJin Im	177 1.4×	76 0.7×	37 0.7×	61 1.2×	40 0.8×	34	328
Bo Wang	89 0.7×	46 0.4×	42 0.8×	104 2.0×	31 0.6×	23	332
Chaoqun Dong	197 1.5×	46 0.4×	37 0.7×	57 1.1×	24 0.5×	38	301
William A. Rae	171 1.3×	114 1.0×	68 1.3×	90 1.8×	35 0.7×	32	341
Duru Gündoğar	174 1.4×	69 0.6×	37 0.7×	44 0.9×	33 0.6×	20	357
Kaitlyn E. Brodar	75 0.6×	46 0.4×	24 0.4×	63 1.2×	47 0.9×	27	295
Diana Worsley	214 1.7×	77 0.7×	64 1.2×	75 1.5×	50 1.0×	22	352

Countries citing papers authored by Siv Skarstein

Since Specialization

Citations

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

Fields of papers citing papers by Siv Skarstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siv Skarstein

This figure shows the co-authorship network connecting the top 25 collaborators of Siv Skarstein. A scholar is included among the top collaborators of Siv Skarstein 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 Siv Skarstein. Siv Skarstein 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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