Lane McIntosh
About
In The Last Decade
Lane McIntosh
4 papers receiving 93 citations
Peers
Comparison fields: 5 of 24
- Cognitive Neuroscience 84
- Cellular and Molecular Neuroscience 29
- Molecular Biology 27
- Artificial Intelligence 16
- Electrical and Electronic Engineering 9
Countries citing papers authored by Lane McIntosh
This map shows the geographic impact of Lane McIntosh'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 Lane McIntosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lane McIntosh more than expected).
Fields of papers citing papers by Lane McIntosh
This network shows the impact of papers produced by Lane McIntosh. 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 Lane McIntosh. The network helps show where Lane McIntosh may publish in the future.
Co-authorship network of co-authors of Lane McIntosh
This figure shows the co-authorship network connecting the top 25 collaborators of Lane McIntosh. A scholar is included among the top collaborators of Lane McIntosh 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 Lane McIntosh. Lane McIntosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Deep Learning Models of the Retinal Response to Natural Scenes. | 78 |
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.