Shane Steinert‐Threlkeld
- Artificial Intelligence top 10%
- Cultural Studies top 2%
- Language and Linguistics top 5%
- Experimental and Cognitive Psychology
- Computational Theory and Mathematics
- Co-authors
- Jakub SzymanikThomas IcardXinyi WuXuhui ZhouZACHARY STEINERT-THRELKELDZeyu LiuChuanrong LiLeendert van Maanen
- Topics
- Natural Language Processing Techniques (21 papers)Language and cultural evolution (18 papers)Topic Modeling (9 papers)
- Journals
- PLoS ONECognitionBiological reviews/Biological reviews of the Cambridge Philosophical Society
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Shane Steinert‐Threlkeld
35 papers receiving 231 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 163
- Cultural Studies 90
- Language and Linguistics 67
- Experimental and Cognitive Psychology 40
- Computational Theory and Mathematics 26
Countries citing papers authored by Shane Steinert‐Threlkeld
This map shows the geographic impact of Shane Steinert‐Threlkeld'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 Shane Steinert‐Threlkeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane Steinert‐Threlkeld more than expected).
Fields of papers citing papers by Shane Steinert‐Threlkeld
This network shows the impact of papers produced by Shane Steinert‐Threlkeld. 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 Shane Steinert‐Threlkeld. The network helps show where Shane Steinert‐Threlkeld may publish in the future.
Co-authorship network of co-authors of Shane Steinert‐Threlkeld
This figure shows the co-authorship network connecting the top 25 collaborators of Shane Steinert‐Threlkeld. A scholar is included among the top collaborators of Shane Steinert‐Threlkeld 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 Shane Steinert‐Threlkeld. Shane Steinert‐Threlkeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 18 | |
| 16 | 13 | |
| 17 | 22 | |
| 18 | 7 | |
| 19 | 2 | |
| 20 | 6 |
About Shane Steinert‐Threlkeld
Shane Steinert‐Threlkeld is a scholar working on Cultural Studies, Developmental Biology and Artificial Intelligence, having authored 37 papers that have together received 257 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Language and cultural evolution (18 papers) and Topic Modeling (9 papers). The work is most often cited by research in Cultural Studies (90 citations), Developmental Biology (17 citations) and Language and Linguistics (67 citations). Shane Steinert‐Threlkeld has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Jakub Szymanik, Thomas Icard, Xinyi Wu, Xuhui Zhou, ZACHARY STEINERT-THRELKELD, Zeyu Liu, Chuanrong Li, Leendert van Maanen, Philippe Schlenker and Emmanuel Chemla. Their work appears in journals such as PLoS ONE, Cognition and Biological reviews/Biological reviews of the Cambridge Philosophical Society.
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.