Sue Finch

5.1k citations
66 papers · 3.3k indexed · 1 hit paper · h-index 25
Topics
Meta-analysis and systematic reviews (8 papers)Statistics Education and Methodologies (6 papers)Data Analysis with R (5 papers)
Journals
JAMASHILAP Revista de lepidopterologíaNature Neuroscience

In The Last Decade

Sue Finch

62 papers receiving 3.1k citations

Hit Papers

Inference by Eye: Confidence Intervals and How to Read Pi...200520262012201920052505007501000

Peers

Sue Finch
Comparison fields: 5 of 201
  • Statistics, Probability and Uncertainty 427
  • Statistics and Probability 407
  • Clinical Psychology 395
  • Endocrinology, Diabetes and Metabolism 356
  • Social Psychology 317
Replace Guido Knapp with:
Guido Knapp Germany
Eric Loken United States
Betsy Jane Becker United States
Kenneth O. McGraw United States
Claire Mokrysz United Kingdom
Juan Botella Spain
Fulgencio Marín‐Martínez Spain
Maya B. Mathur United States
Terri Pigott United States
Judith Peters Netherlands
Sue Finch relative to Guido Knapp Germany Guido Knapp's profile →
Citations per field
00.5×1.5×2.2×
Guido Knapp · 1×
Citations per year

Countries citing papers authored by Sue Finch

Since Specialization
Citations

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

Fields of papers citing papers by Sue Finch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sue Finch

This figure shows the co-authorship network connecting the top 25 collaborators of Sue Finch. A scholar is included among the top collaborators of Sue Finch 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 Sue Finch. Sue Finch 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 0
2 0
3 0
4 2
5 16
6 6
7 9
8 8
9 16
10 81
11
Who's Distressed? Not Only Law Students: Psychological Distress Levels in University Students Across Diverse Fields of Study
23
12 24
13 1
14 10
15 22
16 34
17 124
18 31
19 35
20 34

About Sue Finch

Sue Finch is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Endocrinology, Diabetes and Metabolism, having authored 66 papers that have together received 3.3k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (8 papers), Statistics Education and Methodologies (6 papers) and Data Analysis with R (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (427 citations), Statistics and Probability (407 citations) and General Decision Sciences (60 citations). Sue Finch has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Geoff Cumming, Neil Thomason, Ashleigh Lin, Elisabeth Northam, Fergus Cameron, George A. Werther, Wendy Larcombe, Fiona Fidler, Chi Baik and M. Aldeen. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Nature Neuroscience.

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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