Mark Hansell
About
In The Last Decade
Mark Hansell
4 papers receiving 159 citations
Peers
Comparison fields: 5 of 53
- Developmental and Educational Psychology 66
- Language and Linguistics 61
- Artificial Intelligence 38
- Experimental and Cognitive Psychology 37
- Linguistics and Language 30
Countries citing papers authored by Mark Hansell
This map shows the geographic impact of Mark Hansell'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 Mark Hansell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Hansell more than expected).
Fields of papers citing papers by Mark Hansell
This network shows the impact of papers produced by Mark Hansell. 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 Mark Hansell. The network helps show where Mark Hansell may publish in the future.
Co-authorship network of co-authors of Mark Hansell
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Hansell. A scholar is included among the top collaborators of Mark Hansell 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 Mark Hansell. Mark Hansell 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 | 224 | |
| 3 | Lexical borrowing in Taiwan | 6 |
| 4 | 1 | |
| 5 | 1 |
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.