Juha M. Alho

2.9k total citations
64 papers, 1.9k citations indexed

About

Juha M. Alho is a scholar working on Demography, General Health Professions and Management Science and Operations Research. According to data from OpenAlex, Juha M. Alho has authored 64 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Demography, 29 papers in General Health Professions and 15 papers in Management Science and Operations Research. Recurrent topics in Juha M. Alho's work include Insurance, Mortality, Demography, Risk Management (36 papers), Global Health Care Issues (28 papers) and demographic modeling and climate adaptation (14 papers). Juha M. Alho is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (36 papers), Global Health Care Issues (28 papers) and demographic modeling and climate adaptation (14 papers). Juha M. Alho collaborates with scholars based in Finland, United States and France. Juha M. Alho's co-authors include Bruce D. Spencer, Atte Moilanen, Ilkka Hanski, Jyrki Kangas, Osmo Kolehmainen, Timo Pukkala, Harri Silvennoinen, Vladimir Borgy, Nico Keilman and Jay Kim and has published in prestigious journals such as Journal of the American Statistical Association, Ecology and Biometrics.

In The Last Decade

Juha M. Alho

61 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juha M. Alho Finland 24 696 589 470 305 275 64 1.9k
Lonnie Magee Canada 14 143 0.2× 197 0.3× 81 0.2× 117 0.4× 760 2.8× 30 2.1k
Maŕıa Durbán Spain 21 396 0.6× 377 0.6× 179 0.4× 56 0.2× 377 1.4× 55 1.7k
Andrei Rogers United States 32 1.5k 2.1× 606 1.0× 550 1.2× 35 0.1× 655 2.4× 103 2.8k
Scott H. Holan United States 21 98 0.1× 204 0.3× 95 0.2× 100 0.3× 284 1.0× 94 1.3k
Paul R. Voss United States 19 197 0.3× 121 0.2× 96 0.2× 76 0.2× 517 1.9× 39 1.5k
M. D. Ugarte Spain 25 106 0.2× 56 0.1× 125 0.3× 90 0.3× 632 2.3× 126 2.3k
Samuel Goldberg United States 8 233 0.3× 110 0.2× 98 0.2× 73 0.2× 167 0.6× 21 1.2k
Gianfranco Piras United States 22 45 0.1× 56 0.1× 65 0.1× 183 0.6× 1.2k 4.5× 50 2.1k
Tom Wilson Australia 24 594 0.9× 373 0.6× 346 0.7× 22 0.1× 113 0.4× 148 1.6k
Regina C. Elandt‐Johnson United States 11 144 0.2× 115 0.2× 61 0.1× 31 0.1× 111 0.4× 30 1.2k

Countries citing papers authored by Juha M. Alho

Since Specialization
Citations

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

Fields of papers citing papers by Juha M. Alho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juha M. Alho. 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 Juha M. Alho. The network helps show where Juha M. Alho may publish in the future.

Co-authorship network of co-authors of Juha M. Alho

This figure shows the co-authorship network connecting the top 25 collaborators of Juha M. Alho. A scholar is included among the top collaborators of Juha M. Alho 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 Juha M. Alho. Juha M. Alho 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.
Alho, Juha M., et al.. (2023). Assessing components of uncertainty in demographic forecasts with an application to fiscal sustainability. Journal of Forecasting. 42(7). 1560–1568. 1 indexed citations
2.
Rahkonen, Ossi, et al.. (2017). Occupational Class Differences in Trajectories of Working Conditions in Women. International Journal of Environmental Research and Public Health. 14(7). 790–790. 6 indexed citations
3.
Alho, Juha M.. (2015). Modeling Incidence of Nuptiality. Sociological Methodology. 46(1). 283–318. 4 indexed citations
4.
Alho, Juha M.. (2014). Nonparametric Estimation of Conditional Expectations for Sustainability Analyses. RePEc: Research Papers in Economics. 1 indexed citations
5.
Alho, Juha M., et al.. (2014). Response to updated mortality forecasts in life cycle saving and labor supply. International Journal of Forecasting. 30(4). 1120–1127. 1 indexed citations
6.
Heikkinen, Ville, et al.. (2013). Link functions and Matérn kernel in the estimation of reflectance spectra from RGB responses. Journal of the Optical Society of America A. 30(11). 2444–2444. 19 indexed citations
7.
Li, Qiang, et al.. (2009). Ageing of a giant: a stochastic population forecast for China, 2006–2060. Journal of Population Research. 26(1). 21–50. 27 indexed citations
8.
Silvennoinen, Harri, Juha M. Alho, Osmo Kolehmainen, & Timo Pukkala. (2001). Prediction models of landscape preferences at the forest stand level. Landscape and Urban Planning. 56(1-2). 11–20. 98 indexed citations
9.
Alho, Juha M. & Bruce D. Spencer. (1997). The Practical Specification of the Expected Error of Population Forecasts. Journal of Official Statistics. 13. 203–226. 37 indexed citations
10.
Alho, Juha M.. (1997). Scenarios, Uncertainty and Conditional Forecasts of the World Population. Journal of the Royal Statistical Society Series A (Statistics in Society). 160(1). 71–85. 42 indexed citations
11.
Alho, Juha M. & Jyrki Kangas. (1997). Analyzing Uncertainties in Experts' Opinions of Forest Plan Performance. Forest Science. 43(4). 521–528. 82 indexed citations
12.
Alho, Juha M.. (1996). A note on the use of anticipatory covariates in event history analysis. Finnish Yearbook of Population Research. 328–332. 1 indexed citations
13.
Alho, Juha M., et al.. (1993). Estimating Heterogeneity in the Probabilities of Enumeration for Dual-System Estimation. Journal of the American Statistical Association. 88(423). 1130–1136. 38 indexed citations
14.
Alho, Juha M.. (1992). Comment. Journal of the American Statistical Association. 87(419). 673–674. 1 indexed citations
15.
Alho, Juha M.. (1992). Modeling and Forecasting U.S. Mortality: Comment. Journal of the American Statistical Association. 87(419). 673–673. 10 indexed citations
16.
Alho, Juha M. & Bruce D. Spencer. (1991). A population forecast as a database: Implementing the stochastic propagation of error. Journal of Official Statistics. 7(3). 295–310. 14 indexed citations
17.
Alho, Juha M. & Bruce D. Spencer. (1990). Error Models for Official Mortality Forecasts. Journal of the American Statistical Association. 85(411). 609–616. 39 indexed citations
18.
Tuppurainen, Matti, Gustav Wägar, Kari Kurppa, et al.. (1988). Thyroid function as assessed by routine laboratory tests of workers with long-term lead exposure.. Scandinavian Journal of Work Environment & Health. 14(3). 175–180. 31 indexed citations
19.
Alho, Juha M., et al.. (1988). Use of exposure registration in the prevention of occupational cancer in Finland. American Journal of Industrial Medicine. 13(5). 581–592. 11 indexed citations
20.
Alho, Juha M. & Bruce D. Spencer. (1985). Uncertain Population Forecasting. Journal of the American Statistical Association. 80(390). 306–314. 83 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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