David Nash
- Linguistics and Language top 5%
- Language and Linguistics top 5%
- Experimental and Cognitive Psychology top 10%
- Anthropology top 10%
- Artificial Intelligence
- Co-authors
- Barry AlpherJane SimpsonPatrick McConvellMary LaughrenPeter C. AustinJohn HendersonDaan van EschR. David Zorc
- Topics
- Australian Indigenous Culture and History (10 papers)Linguistic Variation and Morphology (7 papers)Lexicography and Language Studies (4 papers)
- Partner nations
- AustraliaUnited StatesCzechia
In The Last Decade
David Nash
18 papers receiving 250 citations
Peers
Comparison fields: 5 of 59
- Linguistics and Language 139
- Language and Linguistics 134
- Experimental and Cognitive Psychology 103
- Anthropology 59
- Artificial Intelligence 58
Countries citing papers authored by David Nash
This map shows the geographic impact of David Nash'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 David Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Nash more than expected).
Fields of papers citing papers by David Nash
This network shows the impact of papers produced by David Nash. 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 David Nash. The network helps show where David Nash may publish in the future.
Co-authorship network of co-authors of David Nash
This figure shows the co-authorship network connecting the top 25 collaborators of David Nash. A scholar is included among the top collaborators of David Nash 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 David Nash. David Nash 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 | Mudburra to English Dictionary | 4 |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 25 | |
| 6 | 1 | |
| 7 | The Value of Scientific Names from (Australian) Indigenous Languages | 1 |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | Serious Business beyond Tourism: Attracting and Retaining High Value Low Impact Industries to Regional Economies | 2 |
| 13 | Authenticity in toponymy | 1 |
| 14 | 90 | |
| 15 | 33 | |
| 16 | Culture and Heritage: Indigenous Languages | 1 |
| 17 | The Warumungu's Reserves 1892-1962: A case study in dispossession | 8 |
| 18 | 8 | |
| 19 | TESL and Warlpiri children: understanding Warlpiri children's problems in learning to speak English | 1 |
| 20 | Topics in Warlpiri grammar | 98 |
About David Nash
David Nash is a scholar working on Linguistics and Language, Anthropology and Anatomy, having authored 24 papers that have together received 310 indexed citations. Recurring topics across this work include Australian Indigenous Culture and History (10 papers), Linguistic Variation and Morphology (7 papers) and Lexicography and Language Studies (4 papers). The work is most often cited by research in Linguistics and Language (139 citations), Language and Linguistics (134 citations) and Experimental and Cognitive Psychology (103 citations). David Nash has collaborated with scholars based in Australia, United States and Czechia. Frequent co-authors include Barry Alpher, Jane Simpson, Patrick McConvell, Mary Laughren, Peter C. Austin, John Henderson, Daan van Esch, R. David Zorc, Paul Black and Graham McKay. Their work appears in journals such as Oceania, International Journal of Lexicography and Australian Journal of Linguistics.
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.