Daniel Robertson
- Language and Linguistics top 5%
- Molecular Biology
- Developmental and Educational Psychology top 10%
- Artificial Intelligence
- Literature and Literary Theory top 10%
- Co-authors
- Adèle L. MarstonDavid A. KellyStephanie A. SchalbetterVasso MakrantoniMatthew J. NealeJonathan BaxterAlastair KerrMartha C. Pennington
- Topics
- Chromosomal and Genetic Variations (4 papers)Genomics and Chromatin Dynamics (4 papers)Fungal and yeast genetics research (3 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Daniel Robertson
14 papers receiving 283 citations
Peers
Comparison fields: 5 of 60
- Language and Linguistics 137
- Molecular Biology 111
- Developmental and Educational Psychology 109
- Artificial Intelligence 54
- Literature and Literary Theory 46
Countries citing papers authored by Daniel Robertson
This map shows the geographic impact of Daniel Robertson'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 Daniel Robertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Robertson more than expected).
Fields of papers citing papers by Daniel Robertson
This network shows the impact of papers produced by Daniel Robertson. 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 Daniel Robertson. The network helps show where Daniel Robertson may publish in the future.
Co-authorship network of co-authors of Daniel Robertson
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Robertson. A scholar is included among the top collaborators of Daniel Robertson 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 Daniel Robertson. Daniel Robertson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 18 | |
| 4 | 44 | |
| 5 | 17 | |
| 6 | 5 | |
| 7 | 27 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | Measuring development and ultimate attainment in non-native grammars | 5 |
| 11 | 162 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 5 | |
| 15 | Toward a Model for ESL Program Evaluation. | 0 |
About Daniel Robertson
Daniel Robertson is a scholar working on Linguistics and Language, Health Information Management and Cell Biology, having authored 15 papers that have together received 323 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), Genomics and Chromatin Dynamics (4 papers) and Fungal and yeast genetics research (3 papers). The work is most often cited by research in Language and Linguistics (137 citations), Developmental and Educational Psychology (109 citations) and Linguistics and Language (37 citations). Daniel Robertson has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Adèle L. Marston, David A. Kelly, Stephanie A. Schalbetter, Vasso Makrantoni, Matthew J. Neale, Jonathan Baxter, Alastair Kerr, Martha C. Pennington, Bonnie Alver and Christos Spanos. Their work appears in journals such as Nature, The EMBO Journal and Developmental Cell.
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.