Kaitlin Fitzgerald
- Cognitive Neuroscience top 10%
- Literature and Literary Theory top 2%
- Sociology and Political Science
- Social Psychology top 10%
- Gender Studies top 5%
- Co-authors
- Juanita ToddMatthew GrizzardMelanie C. GreenChanghyun AhnJialing HuangMelissa M. MooreHaoran ChuGeoff Kaufman
- Topics
- Media Influence and Health (22 papers)Media, Gender, and Advertising (10 papers)Neuroscience and Music Perception (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuropsychologiaPersonality and Individual Differences
- Partner nations
- United StatesBelgiumAustralia
In The Last Decade
Kaitlin Fitzgerald
31 papers receiving 418 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 190
- Literature and Literary Theory 177
- Sociology and Political Science 103
- Social Psychology 94
- Gender Studies 91
Countries citing papers authored by Kaitlin Fitzgerald
This map shows the geographic impact of Kaitlin Fitzgerald'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 Fitzgerald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaitlin Fitzgerald more than expected).
Fields of papers citing papers by Kaitlin Fitzgerald
This network shows the impact of papers produced by Kaitlin Fitzgerald. 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 Fitzgerald. The network helps show where Kaitlin Fitzgerald may publish in the future.
Co-authorship network of co-authors of Kaitlin Fitzgerald
This figure shows the co-authorship network connecting the top 25 collaborators of Kaitlin Fitzgerald. A scholar is included among the top collaborators of Kaitlin Fitzgerald 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 Kaitlin Fitzgerald. Kaitlin Fitzgerald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 123 | |
| 11 | 3 | |
| 12 | 15 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | 17 | |
| 17 | 7 | |
| 18 | 9 | |
| 19 | 41 | |
| 20 | 18 |
About Kaitlin Fitzgerald
Kaitlin Fitzgerald is a scholar working on Literature and Literary Theory, Gender Studies and Communication, having authored 33 papers that have together received 431 indexed citations. Recurring topics across this work include Media Influence and Health (22 papers), Media, Gender, and Advertising (10 papers) and Neuroscience and Music Perception (5 papers). The work is most often cited by research in Literature and Literary Theory (177 citations), Cognitive Neuroscience (190 citations) and Gender Studies (91 citations). Kaitlin Fitzgerald has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include Juanita Todd, Matthew Grizzard, Melanie C. Green, Changhyun Ahn, Jialing Huang, Melissa M. Moore, Haoran Chu, Geoff Kaufman, Mary Flanagan and Alexander Provost. Their work appears in journals such as SHILAP Revista de lepidopterología, Neuropsychologia and Personality and Individual Differences.
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.