Dave Elder‐Vass

3.2k citations
57 papers · 1.9k · 1 hit paper · h-index 20

Impact in

Papers in

Dave Elder‐Vass

55 papers receiving 1.7k citations

Dave Elder‐Vass's Hit Papers

The Causal Power of Social Structures 2010 · 411 citations
4110+5+10Years since publication100200300400

Peers

Dave Elder‐Vass
Comparison fields: 5 of 119
  • Sociology and Political Science 1.3k
  • Organizational Behavior and Human Resource Management 292
  • History and Philosophy of Science 110
  • Public Administration 55
  • Political Science and International Relations 260
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Axel van den Berg Canada
Celia Lury United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Dave Elder‐Vass

Since Specialization
Citations

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

Fields of papers citing papers by Dave Elder‐Vass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dave Elder‐Vass. 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 Dave Elder‐Vass. The network helps show where Dave Elder‐Vass may publish in the future.

Co-authors

The 9 scholars most cited alongside Dave Elder‐Vass, 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 Dave Elder‐Vass Line = papers co-authored together Dave Elder‐Vass links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Causal Power of Social Structures
Hit paper breakdown →
2010411
2 2012215
3 2007171
4 2007109
5 2008107
6 200581
7 201477
8 201673
9 201170
10 200747
11 200838
12 200737
13 201036
14 200734
15 201932
16 201726
17 201525
18 201021
19 202220
20 202219

About Dave Elder‐Vass

Dave Elder‐Vass is a scholar working on Sociology and Political Science, Economics and Econometrics, Organizational Behavior and Human Resource Management, Political Science and International Relations and Cognitive Neuroscience, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Critical Realism in Sociology (36 papers), Contemporary Sociological Theory and Practice (18 papers), Social and Cultural Dynamics (10 papers), Management and Organizational Studies (8 papers), Economic Theory and Institutions (7 papers), Political Economy and Marxism (6 papers), Embodied and Extended Cognition (6 papers) and Weber, Simmel, Sociological Theory (4 papers). The work is most often cited by research in Sociology and Political Science (1.3k citations), Organizational Behavior and Human Resource Management (292 citations), History and Philosophy of Science (110 citations), Public Administration (55 citations) and Political Science and International Relations (260 citations). Dave Elder‐Vass has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Margaret S. Archer, Jamie Morgan, Ruth Groff, Nick Wilson, Emily Barman, Andrew Sayer, Alan Norrie, Mark Carrigan and Douglas V. Porpora. Their work appears in journals such as Journal of Critical Realism, Journal for the Theory of Social Behaviour, European Journal of Social Theory, Philosophy of the Social Sciences and Cambridge Journal of Economics.

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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