Mark Tranmer

45 papers receiving 1.6k citations

Mark Tranmer's Hit Papers

Social Network Analysis for Ego-Nets 2015 · 299 citations
2990+3+7Years since publication50100150200250

Peers

Mark Tranmer
Comparison fields: 5 of 141
  • Health 176
  • Transportation 146
  • Communication 152
  • Sociology and Political Science 747
  • Management Science and Operations Research 141
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Barbara Entwisle United States
Jeffrey B. Lewis United States
Alexandra Marin Canada
Allyson L. Holbrook United States
Valerie A. Haines Canada
Filiz Garip United States
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José Luís Molina Spain
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Citations per year

Countries citing papers authored by Mark Tranmer

Since Specialization
Citations

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

Fields of papers citing papers by Mark Tranmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Social Network Analysis for Ego-Nets
Hit paper breakdown →
2015299
2 2011175
3 2007164
4 1996108
5 199882
6 201378
7 201574
8 200170
9 201069
10 200168
11 200557
12
Social Network Analysis for Ego-Nets Social Network Analysis for Actor-Centred Networks
201554
13 201546
14 199142
15 202040
16 201532
17 199331
18
Ethnic Minority Populations and the Labour Market: An Analysis of the 1991 and 2001 Census
200629
19 200428
20 201524

About Mark Tranmer

Mark Tranmer is a scholar working on Sociology and Political Science, Management Science and Operations Research, Health, Economics and Econometrics and Social Psychology, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Social Capital and Networks (10 papers), Urban, Neighborhood, and Segregation Studies (8 papers), demographic modeling and climate adaptation (6 papers), Health disparities and outcomes (6 papers), Spatial and Panel Data Analysis (4 papers), Complex Network Analysis Techniques (4 papers), Migration and Labor Dynamics (3 papers) and Electoral Systems and Political Participation (2 papers). The work is most often cited by research in Health (176 citations), Transportation (146 citations), Communication (152 citations), Sociology and Political Science (747 citations) and Management Science and Operations Research (141 citations). Mark Tranmer has collaborated with scholars based in United Kingdom, Australia and Switzerland. Frequent co-authors include David Steel, Dimitris Ballas, Edward Fieldhouse, Elisa Bellotti, Gemma Edwards, Johan Koskinen, Martin G. Everett, Nick Crossley, Andrew Russell and Verónica de Miguel Luken. Their work appears in journals such as Social Networks, Environment and Planning A Economy and Space, Animal Behaviour, Journal of the Royal Statistical Society Series A (Statistics in Society) and Geographical Analysis.

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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