Landis MacKellar

445 citations
31 papers · 220 · h-index 7

Impact in

Papers in

    • Insurance, Mortality, Demography, Risk Management 4
    • Financial Literacy, Pension, Retirement Analysis 5

Landis MacKellar

26 papers receiving 171 citations

Peers

Landis MacKellar
Comparison fields: 5 of 69
  • Development 29
  • Modeling and Simulation 12
  • General Health Professions 50
  • Demography 25
  • Economics and Econometrics 54
Replace Jude Woodward with:
Jude Woodward United Kingdom
Timon Forster Italy
Álvaro Franco Colombia
Gabriel Demombynes United States
Ellen Johnson Sirleaf United States
Richard Dodgson United Kingdom
Mario J. Azevedo United States
Jean‐Benoît Falisse United Kingdom
Lai-Ha Chan Australia
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Citations per field
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Citations per year

Countries citing papers authored by Landis MacKellar

Since Specialization
Citations

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

Fields of papers citing papers by Landis MacKellar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Landis MacKellar, 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 Landis MacKellar Line = papers co-authored together Landis MacKellar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200753
2 200549
3 200742
4
COVID-19: Demography, economics, migration and the way forward
202011
5 200210
6
Pension Reform in Southeastern Europe : Linking to Labor and Financial Market Reforms
20099
7 20088
8 20125
9 20144
10 20064
11 20213
12
New social risks, the life course, and social policy
20092
13 20002
14
Implementing an Inclusive and Equitable Pension Reform: Lessons from India's New Pension Scheme
20122
15 20162
16 20162
17 20191
18 20181
19 20011
20 20001

About Landis MacKellar

Landis MacKellar is a scholar working on Demography, Accounting, General Health Professions, Development and Economics and Econometrics, having authored 31 papers that have together received 220 indexed citations. Recurring topics across this work include Financial Literacy, Pension, Retirement Analysis (5 papers), Insurance, Mortality, Demography, Risk Management (4 papers), Global Health Care Issues (4 papers), International Development and Aid (3 papers), Economic Growth and Productivity (3 papers), Multiculturalism, Politics, Migration, Gender (2 papers), Healthcare Systems and Practices (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Development (29 citations), Modeling and Simulation (12 citations), General Health Professions (50 citations), Demography (25 citations) and Economics and Econometrics (54 citations). Landis MacKellar has collaborated with scholars based in Austria, United States and Sweden. Frequent co-authors include Richard David Smith, Robert Holzmann, Julia Wörz, Andreas Wörgötter, A.L. Bovenberg, Tatiana Y. Ermolieva, Leslie D. Mayhew, Anders H. Westlund, Biswajit Banerjee and William Paul McGreevey. Their work appears in journals such as Population and Development Review, Quality & Quantity, Innovation The European Journal of Social Science Research, Globalization and Health and Contributions to management science.

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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