Don Mitchell

4.0k citations
100 papers · 2.9k · h-index 28

Impact in

Papers in

Don Mitchell

94 papers receiving 2.5k citations

Peers

Don Mitchell
Comparison fields: 5 of 134
  • Developmental and Educational Psychology 938
  • Geography, Planning and Development 410
  • Cognitive Neuroscience 1.2k
  • Urban Studies 309
  • Language and Linguistics 562
Replace Iris Levin with:
Iris Levin Israel
Edward S. Casey United States
Steven Feld United States
Ruth Finnegan United Kingdom
Michael Stubbs Germany
Richard Shusterman United States
Rebecca L. Johnson United States
Melville J. Herskovits United States
Philip Graham Australia
Richard Walker United States
Don Mitchell relative to Iris Levin Israel Iris Levin's profile →
Citations per field
00.5×10×15×21.6×
Iris Levin · 1×
Citations per year

Countries citing papers authored by Don Mitchell

Since Specialization
Citations

This map shows the geographic impact of Don Mitchell'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 Don Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Mitchell more than expected).

Fields of papers citing papers by Don Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don Mitchell. 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 Don Mitchell. The network helps show where Don Mitchell may publish in the future.

Co-authors

The 25 scholars most cited alongside Don Mitchell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Don Mitchell Line = papers co-authored together Don Mitchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995234
2 1996172
3 2004142
4 1978134
5 2002133
6 2003126
7 2005105
8 199999
9 199698
10 198592
11 198586
12 200784
13 200781
14 200879
15 198976
16 199266
17 200165
18 199452
19 201451
20 199851

About Don Mitchell

Don Mitchell is a scholar working on Geography, Planning and Development, Urban Studies, Sociology and Political Science, Cognitive Neuroscience and Artificial Intelligence, having authored 100 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (14 papers), Urban Planning and Governance (13 papers), Historical Geography and Geographical Thought (11 papers), Geographies of human-animal interactions (10 papers), Natural Language Processing Techniques (8 papers), Housing, Finance, and Neoliberalism (6 papers), Second Language Acquisition and Learning (6 papers) and Syntax, Semantics, Linguistic Variation (6 papers). The work is most often cited by research in Developmental and Educational Psychology (938 citations), Geography, Planning and Development (410 citations), Cognitive Neuroscience (1.2k citations), Urban Studies (309 citations) and Language and Linguistics (562 citations). Don Mitchell has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Marc Brysbaert, Lynn A. Staeheli, Martin Corley, Yuki Kamide, Scott Kirsch, Fernando Cuetos, Virginia M. Holmes, Noel Sharkey, Alan Garnham and Timothy L. Hodgson. Their work appears in journals such as Antipode, Journal of Historical Geography, Progress in Human Geography, Journal of Experimental Psychology Learning Memory and Cognition and Journal of Memory and Language.

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.

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