Jordan E. DeLong
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 5%
- Literature and Literary Theory top 5%
- Economics and Econometrics top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- James E. CuttingKaitlin L. BrunickAyşe Candan ŞimşekThomas A. BuseyBernard L. SchneiderGül GünaydınDean WyatteGillian Rhodes
- Topics
- Cinema and Media Studies (7 papers)Aesthetic Perception and Analysis (4 papers)Face Recognition and Perception (3 papers)
- Cited by
- Cognitive NeuroscienceLiterature and Literary TheoryComputer Vision and Pattern Recognition
- Partner nations
- United StatesAustraliaTürkiye
In The Last Decade
Jordan E. DeLong
15 papers receiving 318 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 159
- Computer Vision and Pattern Recognition 149
- Literature and Literary Theory 85
- Economics and Econometrics 85
- Experimental and Cognitive Psychology 69
Countries citing papers authored by Jordan E. DeLong
This map shows the geographic impact of Jordan E. DeLong'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 Jordan E. DeLong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan E. DeLong more than expected).
Fields of papers citing papers by Jordan E. DeLong
This network shows the impact of papers produced by Jordan E. DeLong. 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 Jordan E. DeLong. The network helps show where Jordan E. DeLong may publish in the future.
Co-authorship network of co-authors of Jordan E. DeLong
This figure shows the co-authorship network connecting the top 25 collaborators of Jordan E. DeLong. A scholar is included among the top collaborators of Jordan E. DeLong 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 Jordan E. DeLong. Jordan E. DeLong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 53 | |
| 9 | 95 | |
| 10 | 22 | |
| 11 | 24 | |
| 12 | 90 | |
| 13 | The Sparsity of Simple Recurrent Networks in Musical Structure Learning | 2 |
| 14 | Shot Structure in Hollywood Film | 6 |
| 15 | 15 |
About Jordan E. DeLong
Jordan E. DeLong is a scholar working on Cognitive Neuroscience, Visual Arts and Performing Arts and Literature and Literary Theory, having authored 15 papers that have together received 366 indexed citations. Recurring topics across this work include Cinema and Media Studies (7 papers), Aesthetic Perception and Analysis (4 papers) and Face Recognition and Perception (3 papers). The work is most often cited by research in Cognitive Neuroscience (159 citations), Literature and Literary Theory (85 citations) and Computer Vision and Pattern Recognition (149 citations). Jordan E. DeLong has collaborated with scholars based in United States, Australia and Türkiye. Frequent co-authors include James E. Cutting, Kaitlin L. Brunick, Ayşe Candan Şimşek, Thomas A. Busey, Bernard L. Schneider, Gül Günaydın, Dean Wyatte, Gillian Rhodes, Leslie M. Blaha and Linda Jeffery. Their work appears in journals such as PLoS ONE, Psychological Science and Neuropsychologia.
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.