Tapio Nummi

1.6k citations
87 papers · 1.2k · h-index 17

Impact in

Papers in

Tapio Nummi

83 papers receiving 1.1k citations

Peers

Tapio Nummi
Comparison fields: 5 of 112
  • Psychiatry and Mental health 270
  • Statistics and Probability 98
  • Clinical Psychology 142
  • Nature and Landscape Conservation 46
  • Social Psychology 92
Replace Holly C. Elser with:
Holly C. Elser United States
Matthew J. Valente United States
Paul Madley‐Dowd United Kingdom
Ping He China
Koichiro Shiba United States
Drue H. Barrett United States
Cynthia A. Reuben United States
Gertraud Stadler Germany
David L. DiGiuseppe United States
Hiroyuki Hikichi Japan
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Citations per field
00.5×5×10×15×20×23.3×
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Citations per year

Countries citing papers authored by Tapio Nummi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tapio Nummi Line = papers co-authored together Tapio Nummi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006306
2 201948
3 201743
4 200641
5 201737
6 201635
7 200632
8 200830
9 201330
10 201930
11 201127
12 201526
13 200621
14 200720
15 201119
16
Prediction of tree stems to improve efficiency in automatized harvesting of forests
199517
17 200817
18 201716
19 199615
20 201515

About Tapio Nummi

Tapio Nummi is a scholar working on Statistics and Probability, Nature and Landscape Conservation, General Health Professions, Social Psychology and Clinical Psychology, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (18 papers), Forest ecology and management (9 papers), Statistical Methods and Applications (7 papers), Advanced Statistical Methods and Models (6 papers), Workplace Health and Well-being (5 papers), Employment and Welfare Studies (4 papers), Health disparities and outcomes (4 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Psychiatry and Mental health (270 citations), Statistics and Probability (98 citations), Clinical Psychology (142 citations), Nature and Landscape Conservation (46 citations) and Social Psychology (92 citations). Tapio Nummi has collaborated with scholars based in Finland, Sweden and United Kingdom. Frequent co-authors include Matti I. Joukamaa, Aino K. Mattila, Jouko K. Salminen, Pekka Virtanen, Anne Hammarström, Erkki P. Liski, Arja Rimpelä, Jyrki Möttönen, Kalevi Korpela and Kristiina Rajaleid. Their work appears in journals such as European Journal of Public Health, Canadian Journal of Forest Research, BMC Public Health, Journal of Multivariate Analysis and International Statistical Review.

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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