Landis MacKellar

14 papers and 123 indexed citations i.

About

Landis MacKellar is a scholar working on Political Science and International Relations, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Landis MacKellar has authored 14 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Political Science and International Relations, 3 papers in Sociology and Political Science and 2 papers in General Health Professions. Recurrent topics in Landis MacKellar’s work include International Development and Aid (2 papers), Multiculturalism, Politics, Migration, Gender (2 papers) and Animal Disease Management and Epidemiology (1 paper). Landis MacKellar is often cited by papers focused on International Development and Aid (2 papers), Multiculturalism, Politics, Migration, Gender (2 papers) and Animal Disease Management and Epidemiology (1 paper). Landis MacKellar collaborates with scholars based in Austria, United States and China. Landis MacKellar's co-authors include Richard Smith, Guiying Cao, Xinming Song and José Siri and has published in prestigious journals such as Population and Development Review, Globalization and Health and Population and Environment.

In The Last Decade

Co-authorship network of co-authors of Landis MacKellar i

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.

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).

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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2025