F. Landis MacKellar

662 total citations
22 papers, 382 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 382 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), Economic Growth and Productivity (3 papers) and Financial Literacy, Pension, Retirement Analysis (3 papers). F. Landis MacKellar is often cited by papers focused on Global Health Care Issues (6 papers), Economic Growth and Productivity (3 papers) and Financial Literacy, Pension, Retirement Analysis (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 Geoffrey McNicoll 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 306 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. Landis MacKellar Austria 8 159 96 87 70 61 22 382
Kataŕına Zigová Germany 5 201 1.3× 50 0.5× 102 1.2× 25 0.4× 71 1.2× 12 431
Michèle B. Bättig Switzerland 3 183 1.2× 250 2.6× 50 0.6× 34 0.5× 129 2.1× 8 528
Aaron Atteridge Sweden 13 170 1.1× 192 2.0× 55 0.6× 24 0.3× 189 3.1× 34 542
Sabine L. Perch-Nielsen Switzerland 4 136 0.9× 357 3.7× 37 0.4× 37 0.5× 88 1.4× 5 563
Raphaël Soubeyran France 11 168 1.1× 161 1.7× 17 0.2× 36 0.5× 38 0.6× 28 430
Amelia Midgley United Kingdom 4 55 0.3× 420 4.4× 27 0.3× 54 0.8× 85 1.4× 9 641
Hongjia Zhu China 10 253 1.6× 83 0.9× 52 0.6× 12 0.2× 67 1.1× 15 457
Laura A. McKinney United States 12 134 0.8× 180 1.9× 26 0.3× 36 0.5× 138 2.3× 23 469
María Eugenia Ibarrarán Mexico 8 92 0.6× 81 0.8× 33 0.4× 7 0.1× 66 1.1× 16 257
Jennifer Helgeson United States 12 200 1.3× 146 1.5× 39 0.4× 8 0.1× 104 1.7× 43 454

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

20 of 20 papers shown
1.
MacKellar, F. Landis. (2022). COVID-19, the Russo-Ukrainian War, the global sustainable development project and post-crises demography. Vienna Yearbook of Population Research. 20. 39–81. 1 indexed citations
2.
Pray, Leslie, et al.. (2013). Suicide in Eastern Europe, the CIS, and the Baltic Countries : Social and Public Health Determinants. A Foundation for Designing Interventions. Summary of a Conference. 2 indexed citations
3.
Holzmann, Robert, et al.. (2008). Pension Reform in South-Eastern Europe. The World Bank eBooks. 10 indexed citations
4.
MacKellar, F. Landis, et al.. (2004). Policy Pathways to Health in the Russian Federation. IIASA PURE (International Institute of Applied Systems Analysis). 4 indexed citations
5.
MacKellar, F. Landis. (2001). Book review: Sharing the Wealth: Demographic Change and Economic Transfers between Generations, by Andrew Mason, Georges Tapinos. IIASA PURE (International Institute of Applied Systems Analysis). 2 indexed citations
6.
MacKellar, F. Landis, et al.. (2001). Key Issues of Aging and Social Security in China. IIASA PURE (International Institute of Applied Systems Analysis). 3 indexed citations
7.
MacKellar, F. Landis. (2000). The Predicament of Population Aging: A Review Essay*. Population and Development Review. 26(2). 365–404. 19 indexed citations
8.
O’Neill, Brian C., F. Landis MacKellar, & Wolfgang Lutz. (2000). Population and Climate Change. Cambridge University Press eBooks. 167 indexed citations
9.
MacKellar, F. Landis, T. Ermolieva, & Anders Westlund. (2000). A Social Security Forecasting and Simulation Model. IIASA PURE (International Institute of Applied Systems Analysis). 3 indexed citations
10.
MacKellar, F. Landis, Paul K. Freeman, & T. Ermolieva. (1999). Estimating natural catastrophic risk exposure and the benefits of risk transfer in developing countries. IIASA PURE (International Institute of Applied Systems Analysis). 7 indexed citations
11.
MacKellar, F. Landis & William Paul McGreevey. (1999). The Growth and Containment of Social Security Systems. Development Policy Review. 17(1). 5–24. 2 indexed citations
12.
MacKellar, F. Landis. (1997). Population and Fairness. Population and Development Review. 23(2). 359–359. 4 indexed citations
13.
MacKellar, F. Landis. (1996). On Human Carrying Capacity: A Review Essay on Joel Cohen's: How Many People Can the Earth Support?. Population and Development Review. 22(1). 145–145. 7 indexed citations
14.
MacKellar, F. Landis, W. Lutz, Christopher Prinz, & Anne Goujon. (1995). Population, Households, and CO 2 Emissions. Population and Development Review. 21(4). 849–849. 110 indexed citations
15.
MacKellar, F. Landis. (1995). Homicide in the United States: Who's at risk?. IIASA PURE (International Institute of Applied Systems Analysis). 7 indexed citations
16.
MacKellar, F. Landis & William Paul McGreevey. (1995). Social Security Issues in Reforming and Transition Economies. IIASA PURE (International Institute of Applied Systems Analysis).
17.
MacKellar, F. Landis, et al.. (1995). Population, Economic Development, and the Environment.. Population and Development Review. 21(2). 415–415. 2 indexed citations
18.
MacKellar, F. Landis. (1994). Population and Development: Assessment Before the 1994 Conference. Development Policy Review. 12(2). 165–192. 1 indexed citations
19.
MacKellar, F. Landis & Daniel R. Vining. (1989). Measuring natural resource scarcity. Social Indicators Research. 21(5). 517–530. 8 indexed citations
20.
MacKellar, F. Landis & Daniel R. Vining. (1988). Research Policy and Review 26: Where Does the United States Stand in the Global Resource Scarcity Debate?. Environment and Planning A Economy and Space. 20(12). 1567–1573. 1 indexed citations

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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