ML Tlachac
About
In The Last Decade
ML Tlachac
31 papers receiving 291 citations
Peers
Comparison fields: 5 of 46
- Social Psychology 163
- Experimental and Cognitive Psychology 149
- Applied Psychology 141
- Artificial Intelligence 84
- Cognitive Neuroscience 34
Countries citing papers authored by ML Tlachac
This map shows the geographic impact of ML Tlachac'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 ML Tlachac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ML Tlachac more than expected).
Fields of papers citing papers by ML Tlachac
This network shows the impact of papers produced by ML Tlachac. 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 ML Tlachac. The network helps show where ML Tlachac may publish in the future.
Co-authorship network of co-authors of ML Tlachac
This figure shows the co-authorship network connecting the top 25 collaborators of ML Tlachac. A scholar is included among the top collaborators of ML Tlachac 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 ML Tlachac. ML Tlachac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 40 | |
| 19 | 1 | |
| 20 | 6 |
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.