James M. McQueen
About
In The Last Decade
James M. McQueen
225 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Experimental and Cognitive Psychology 5.9k
- Cognitive Neuroscience 4.0k
- Developmental and Educational Psychology 3.2k
- Artificial Intelligence 2.2k
- Linguistics and Language 1.8k
Countries citing papers authored by James M. McQueen
This map shows the geographic impact of James M. McQueen'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 James M. McQueen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. McQueen more than expected).
Fields of papers citing papers by James M. McQueen
This network shows the impact of papers produced by James M. McQueen. 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 James M. McQueen. The network helps show where James M. McQueen may publish in the future.
Co-authorship network of co-authors of James M. McQueen
This figure shows the co-authorship network connecting the top 25 collaborators of James M. McQueen. A scholar is included among the top collaborators of James M. McQueen 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 James M. McQueen. James M. McQueen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Improved Graph Laplacian via Geometric Self-Consistency | 3 |
| 3 | Megaman: scalable manifold learning in python | 14 |
| 4 | 18 | |
| 5 | 14 | |
| 6 | 66 | |
| 7 | K-optimal Randomization Tests for Association in Practical Metric Spaces Using Nearest Neighbor Methods | 0 |
| 8 | 50 | |
| 9 | 25 | |
| 10 | 37 | |
| 11 | Prelexically-driven perceptual retuning of phoneme boundaries | 34 |
| 12 | The strength of stress-related lexical competition depends on the presence of first-syllable stress | 1 |
| 13 | 101 | |
| 14 | 46 | |
| 15 | Spoken word access processes : a special issue of Language and cognitive processes | 1 |
| 16 | Spoken Word Access Processes | 13 |
| 17 | 4 | |
| 18 | Spotting (different kinds of) words in (different kinds of) context | 8 |
| 19 | 183 | |
| 20 | 98 |
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.