Landis MacKellar

412 citations
23 papers · 180 · h-index 6

Impact in

Papers in

Landis MacKellar

18 papers receiving 150 citations

Peers

Landis MacKellar
Comparison fields: 5 of 66
  • Development 23
  • Modeling and Simulation 14
  • Safety Research 17
  • General Economics, Econometrics and Finance 15
  • Pediatrics, Perinatology and Child Health 34
Replace Álvaro Franco with:
Álvaro Franco Colombia
Timon Forster United States
Sophal Ear United States
Gabriella Y. Carolini United States
Lai-Ha Chan Australia
Richard Dodgson United Kingdom
Peyvand Khaleghian United States
Jacky Mathonnat France
Andrés Castañeda Prado Mexico
Angela E Micah United States
Landis MacKellar relative to Álvaro Franco Colombia Álvaro Franco's profile →
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 8 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200548
2 200740
3 200733
4
Economic Development Problems of Landlocked Countries
200018
5
COVID-19: Demography, economics, migration and the way forward
202010
6
Pension Reform in Southeastern Europe : Linking to Labor and Financial Market Reforms
20099
7 20064
8 20143
9 20122
10 20002
11 20162
12 20162
13 20111
14 20141
15 20191
16 20191
17 20141
18
Determinants of Inflation in Slovenia on the Road to Euro Adoption
20101
19 20181
20 20160

About Landis MacKellar

Landis MacKellar is a scholar working on Political Science and International Relations, Demography, General Health Professions, Sociology and Political Science and Development, having authored 23 papers that have together received 180 indexed citations. Recurring topics across this work include Financial Literacy, Pension, Retirement Analysis (3 papers), International Development and Aid (3 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Economic Growth and Productivity (2 papers), Multiculturalism, Politics, Migration, Gender (2 papers), Animal Disease Management and Epidemiology (1 paper), Migration, Aging, and Tourism Studies (1 paper) and Human Rights and Development (1 paper). The work is most often cited by research in Development (23 citations), Modeling and Simulation (14 citations), Safety Research (17 citations), General Economics, Econometrics and Finance (15 citations) and Pediatrics, Perinatology and Child Health (34 citations). Landis MacKellar has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Richard Smith, Andreas Wörgötter, Julia Wörz, Robert Holzmann, Xinming Song, Guiying Cao, José Siri and Biswajit Banerjee. Their work appears in journals such as Population and Development Review, Globalization and Health, Population and Environment, Innovation The European Journal of Social Science Research and Institutional Repository (IHS Vienna).

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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