Kaitlin Thaney

855 citations
2 papers · 448 · 1 hit paper · h-index 2

Impact in

Papers in

Kaitlin Thaney

2 papers receiving 425 citations

Kaitlin Thaney's Hit Papers

How open science helps researchers succeed 2016 · 444 citations
4440+3+6Years since publication100200300400

Peers

Kaitlin Thaney
Comparison fields: 5 of 107
  • Information Systems and Management 173
  • Statistics, Probability and Uncertainty 167
  • Information Systems 175
  • Ecological Modeling 22
  • Computer Science Applications 22
Replace Damon McDougall with:
Damon McDougall United States
Amye Kenall Germany
Andrew Updegrove United States
Curtis Kennett United States
Sarah Piechowski Germany
Carina Sonnleitner Germany
Peter Kraker Austria
Elizabeth D. Dalton United States
Iain Hrynaszkiewicz United States
Erica J. Yoon United States
Kaitlin Thaney relative to Damon McDougall United States Damon McDougall's profile →
Citations per field
00.5×1.5×
Damon McDougall · 1×
Citations per year

Countries citing papers authored by Kaitlin Thaney

Since Specialization
Citations

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

Fields of papers citing papers by Kaitlin Thaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Kaitlin Thaney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaitlin Thaney Line = papers co-authored together Kaitlin Thaney links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
How open science helps researchers succeed
Hit paper breakdown →
2016444
2
The open scholarship ecosystem faces collapse; it’s also our best hope for a more resilient future
20204

About Kaitlin Thaney

Kaitlin Thaney is a scholar working on Information Systems, Information Systems and Management, Statistics, Probability and Uncertainty, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 448 indexed citations. Recurring topics across this work include Research Data Management Practices (1 paper), Scientific Computing and Data Management (1 paper) and scientometrics and bibliometrics research (1 paper). The work is most often cited by research in Information Systems and Management (173 citations), Statistics, Probability and Uncertainty (167 citations), Information Systems (175 citations), Ecological Modeling (22 citations) and Computer Science Applications (22 citations). Kaitlin Thaney has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Andrew Updegrove, Brian A. Nosek, Erin C. McKiernan, Courtney K. Soderberg, Kara Woo, Jennifer Lin, Amye Kenall, Stuart Buck, Tal Yarkoni and Damon McDougall. Their work appears in journals such as eLife and London School of Economics and Political Science Research Online (London School of Economics and Political Science).

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.

Explore authors with similar magnitude of impact