F. Landis MacKellar

50 total papers · 662 total citations
22 papers, 379 citations indexed

About

F. Landis MacKellar is a scholar working on General Health Professions, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, F. Landis MacKellar has authored 22 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in General Health Professions, 6 papers in Sociology and Political Science and 6 papers in Economics and Econometrics. Recurrent topics in F. Landis MacKellar's work include Global Health Care Issues (6 papers), Financial Literacy, Pension, Retirement Analysis (3 papers) and Income, Poverty, and Inequality (3 papers). F. Landis MacKellar is often cited by papers focused on Global Health Care Issues (6 papers), Financial Literacy, Pension, Retirement Analysis (3 papers) and Income, Poverty, and Inequality (3 papers). F. Landis MacKellar collaborates with scholars based in Austria, United States and Switzerland. F. Landis MacKellar's co-authors include Wolfgang Lutz, Brian C. O’Neill, Christopher Prinz, Anne Goujon, W. Lutz, Daniel R. Vining, Robert Holzmann, T. Ermolieva, Paul K. Freeman and William Paul McGreevey and has published in prestigious journals such as Population and Development Review, Social Indicators Research and Environment and Planning A Economy and Space.

In The Last Decade

F. Landis MacKellar

20 papers receiving 302 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
F. Landis MacKellar 159 96 86 70 61 22 379
Kataŕına Zigová 200 1.3× 50 0.5× 102 1.2× 25 0.4× 70 1.1× 12 430
Simon Black 128 0.8× 61 0.6× 90 1.0× 17 0.2× 37 0.6× 23 351
John Pitkin 286 1.8× 108 1.1× 94 1.1× 42 0.6× 11 0.2× 16 419
Md. Sujahangir Kabir Sarkar 98 0.6× 100 1.0× 64 0.7× 15 0.2× 95 1.6× 27 399
Kathleen J. Murphy 47 0.3× 95 1.0× 33 0.4× 19 0.3× 86 1.4× 24 379
Chris Muris 295 1.9× 99 1.0× 146 1.7× 20 0.3× 17 0.3× 20 431
Raphaël Soubeyran 168 1.1× 160 1.7× 17 0.2× 37 0.5× 38 0.6× 28 429
Christina Ergas 132 0.8× 99 1.0× 71 0.8× 18 0.3× 72 1.2× 14 415
Stefania Lovo 116 0.7× 62 0.6× 32 0.4× 24 0.3× 52 0.9× 22 353
Himayatullah Khan 172 1.1× 112 1.2× 36 0.4× 10 0.1× 89 1.5× 36 403

Countries citing papers authored by F. Landis MacKellar

Since Specialization
Citations

This map shows the geographic impact of F. 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 F. 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 F. Landis MacKellar more than expected).

Fields of papers citing papers by F. Landis MacKellar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Landis MacKellar

This figure shows the co-authorship network connecting the top 25 collaborators of F. Landis MacKellar. A scholar is included among the top collaborators of F. Landis MacKellar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F. Landis MacKellar. F. Landis MacKellar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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