Lisa Dillon

489 citations
34 papers · 303 indexed · h-index 10

Impact in

Papers in

Lisa Dillon

32 papers receiving 277 citations

Peers

Lisa Dillon
Comparison fields: 5 of 67
  • Gender Studies 50
  • Demography 53
  • Statistics and Probability 34
  • Modeling and Simulation 13
  • Sociology and Political Science 117
Replace Barbara Hofmann with:
Barbara Hofmann Germany
Patrick Ball United States
Shiro Kuriwaki United States
Achim Koch Germany
Roland Pressat France
Jeongeun Kim United States
John M. Eyler United States
Min Xie United States
Felix Wolter Germany
Lisa Dillon relative to Barbara Hofmann Germany Barbara Hofmann's profile →
Citations per field
00.5×1.5×1.9×
Barbara Hofmann · 1×
Citations per year

Countries citing papers authored by Lisa Dillon

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Dillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20226
4 201934
5 201911
6 20185
7 201833
8 201615
9 20161
10 20104
11 20104
12 20106
13 20086
14 20086
15 200424
16 20025
17
Creating Historical Snapshots of North America in 1880/1: Collaboration between Historians and the Church of Jesus Christ of Latter-day Saints on the 1880/1 Census Databases of the United States and Canada
20011
18 20007
19 19993
20 19958

About Lisa Dillon

Lisa Dillon is a scholar working on Statistics and Probability, Demography, History, History and Philosophy of Science and Modeling and Simulation, having authored 34 papers that have together received 303 indexed citations. Recurring topics across this work include Canadian Identity and History (7 papers), Historical Economic and Social Studies (6 papers), Census and Population Estimation (6 papers), Migration, Aging, and Tourism Studies (5 papers), Data Analysis and Archiving (5 papers), demographic modeling and climate adaptation (3 papers), Oral History, Memory, Narrative Analysis (3 papers) and Demographic Trends and Gender Preferences (3 papers). The work is most often cited by research in Gender Studies (50 citations), Demography (53 citations), Statistics and Probability (34 citations), Modeling and Simulation (13 citations) and Sociology and Political Science (117 citations). Lisa Dillon has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Alain Gagnon, Kees Mandemakers, Evan Roberts, Gunnar Thorvaldsen, Matthew Woollard, Patrick Bergeron, Fanie Pelletier, Nadine Ouellette, David J. D. Earn and Matthew Sobek. Their work appears in journals such as Historical Methods A Journal of Quantitative and Interdisciplinary History, The History of the Family, Canadian Historical Review, Canadian Public Policy and American Journal of Human Biology.

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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