Tapio Nummi
Impact in
- Psychiatry and Mental health top 5%
- Psychosomatic Disorders and Their Treatments
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
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- Employment and Welfare Studies 11
- Workplace Health and Well-being 6
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- Statistical Methods and Inference 11
- Advanced Statistical Methods and Models 7
- Statistical Methods and Bayesian Inference 6
- Co-authors
- Aino K. Mattila (1 shared paper)Jouko K. Salminen (1 shared paper)Matti Joukamaa (1 shared paper)Pekka Virtanen (16 shared papers)Anne Hammarström (12 shared papers)Erkki P. Liski (10 shared papers)Arja Rimpelä (5 shared papers)Jyrki Möttönen (5 shared papers)
In The Last Decade
Tapio Nummi
86 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 129
- Psychiatry and Mental health 267
- Statistics and Probability 90
- Clinical Psychology 173
- Medical Laboratory Technology 10
- Experimental and Cognitive Psychology 90
Countries citing papers authored by Tapio Nummi
This map shows the geographic impact of Tapio Nummi'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 Tapio Nummi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapio Nummi more than expected).
Fields of papers citing papers by Tapio Nummi
This network shows the impact of papers produced by Tapio Nummi. 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 Tapio Nummi. The network helps show where Tapio Nummi may publish in the future.
Co-authors
The 25 scholars most cited alongside Tapio Nummi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 304 | |
| 2 | 2019 | 44 | |
| 3 | 2017 | 42 | |
| 4 | 2006 | 41 | |
| 5 | 2016 | 36 | |
| 6 | 2017 | 36 | |
| 7 | 2008 | 34 | |
| 8 | 2006 | 32 | |
| 9 | 2019 | 30 | |
| 10 | 2013 | 29 | |
| 11 | 2011 | 26 | |
| 12 | 2015 | 24 | |
| 13 | 2006 | 22 | |
| 14 | 2007 | 19 | |
| 15 | 2008 | 19 | |
| 16 | 2011 | 18 | |
| 17 | Prediction of tree stems to improve efficiency in automatized harvesting of forests | 1995 | 17 |
| 18 | 2005 | 16 | |
| 19 | 2015 | 15 | |
| 20 | 2017 | 15 |
About Tapio Nummi
Tapio Nummi is a scholar working on General Health Professions, Statistics and Probability, Nature and Landscape Conservation, Mechanics of Materials and Social Psychology, having authored 90 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Employment and Welfare Studies (11 papers), Forest ecology and management (11 papers), Forest Biomass Utilization and Management (10 papers), Advanced Statistical Methods and Models (7 papers), Workplace Health and Well-being (6 papers), Statistical Methods and Bayesian Inference (6 papers) and Forest Management and Policy (6 papers). The work is most often cited by research in Psychiatry and Mental health (267 citations), Statistics and Probability (90 citations), Clinical Psychology (173 citations), Medical Laboratory Technology (10 citations) and Experimental and Cognitive Psychology (90 citations). Tapio Nummi has collaborated with scholars based in Finland, Sweden and Australia. Frequent co-authors include Aino K. Mattila, Jouko K. Salminen, Matti Joukamaa, Pekka Virtanen, Anne Hammarström, Erkki P. Liski, Arja Rimpelä, Jyrki Möttönen, Kalevi Korpela and Kristiina Rajaleid. Their work appears in journals such as International Statistical Review, BMC Public Health, Canadian Journal of Forest Research, European Journal of Public Health and Silva Fennica.
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.