Virginia Gil‐Rivas

3.4k citations
51 papers · 2.4k indexed · h-index 26

Virginia Gil‐Rivas

49 papers receiving 2.2k citations

Peers

Virginia Gil‐Rivas
Comparison fields: 5 of 110
  • Clinical Psychology 1.6k
  • Sociology and Political Science 470
  • General Health Professions 380
  • Social Psychology 352
  • Epidemiology 265
Replace Ryan P. Kilmer with:
Ryan P. Kilmer United States
Eva Alisic Australia
Siri Thoresen Norway
Annie J. Zhou United States
Ginny Sprang United States
Melissa J. Brymer United States
B. Hudnall Stamm United States
Angela J. Narayan United States
Atle Dyregrov Norway
Kanako Taku United States
Virginia Gil‐Rivas relative to Ryan P. Kilmer United States Ryan P. Kilmer's profile →
Citations per field
00.5×2.7×
Ryan P. Kilmer · 1×
Citations per year

Countries citing papers authored by Virginia Gil‐Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Gil‐Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia Gil‐Rivas. 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 Virginia Gil‐Rivas. The network helps show where Virginia Gil‐Rivas may publish in the future.

Co-authorship network of co-authors of Virginia Gil‐Rivas

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 5
4 0
5 1
6 5
7 10
8 5
9 11
10 15
11 7
12 46
13 28
14 88
15 26
16 222
17
Postraumatic Growth in Youth Following Disasters.
5
18 57
19 24
20 108

About Virginia Gil‐Rivas

Virginia Gil‐Rivas is a scholar working on Clinical Psychology, Emergency Medical Services and Pharmacy, having authored 51 papers that have together received 2.4k indexed citations. Recurring topics across this work include Posttraumatic Stress Disorder Research (16 papers), Migration, Health and Trauma (14 papers) and Resilience and Mental Health (12 papers). The work is most often cited by research in Clinical Psychology (1.6k citations), Emergency Medical Services (190 citations) and Applied Psychology (121 citations). Virginia Gil‐Rivas has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Ryan P. Kilmer, Roxane Cohen Silver, E. Alison Holman, Daniel N. McIntosh, Michael J. Poulin, M. Douglas Anglin, Lawrence G. Calhoun, Richard G. Tedeschi, Arnie Cann and Chuansheng Chen. Their work appears in journals such as Child Development, Psychological Science and International Journal of Eating Disorders.

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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