Philip McDermott

34 papers receiving 401 citations

Peers

Philip McDermott
Comparison fields: 5 of 108
  • Information Systems and Management 54
  • Urban Studies 31
  • Linguistics and Language 22
  • Language and Linguistics 28
  • General Economics, Econometrics and Finance 20
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Pradip Ninan Thomas Australia
Dirk Martin Germany
Caterina Marchionni Finland
Li Ping China
Brad Sherman Australia
Lionel Bently United Kingdom
Jane C. Ginsburg United States
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Citations per year

Countries citing papers authored by Philip McDermott

Since Specialization
Citations

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

Fields of papers citing papers by Philip McDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philip McDermott, 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 Philip McDermott Line = papers co-authored together Philip McDermott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200954
2 201052
3 200744
4 200937
5 197933
6 200925
7 198420
8 199818
9 201118
10 201516
11
Migrant Languages in the Public Space: A Case Study from Northern Ireland
201112
12 197812
13 201311
14 20189
15 20119
16 20118
17 20128
18 20166
19 20216
20 20245

About Philip McDermott

Philip McDermott is a scholar working on Sociology and Political Science, Linguistics and Language, Molecular Biology, Political Science and International Relations and Language and Linguistics, having authored 39 papers that have together received 445 indexed citations. Recurring topics across this work include Irish and British Studies (6 papers), Multilingual Education and Policy (5 papers), Linguistics, Language Diversity, and Identity (4 papers), Interpreting and Communication in Healthcare (3 papers), Migration, Refugees, and Integration (3 papers), Cultural Heritage Management and Preservation (3 papers), Scientific Computing and Data Management (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Information Systems and Management (54 citations), Urban Studies (31 citations), Linguistics and Language (22 citations), Language and Linguistics (28 citations) and General Economics, Econometrics and Finance (20 citations). Philip McDermott has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include D. J. Thorne, Teresa K. Attwood, Steve Pettifer, James Marsh, Douglas B. Kell, Máiréad Nic Craith, Allan W. Wicker, Michael J. Taylor, Alice Villéger and David Keeble. Their work appears in journals such as Anthropological Journal of European Cultures, Current Issues in Language Planning, Identities, BMC Bioinformatics and Bioinformatics.

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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