Samu Mäntyniemi
- Global and Planetary Change top 2%
- Nature and Landscape Conservation top 2%
- Ecology top 5%
- Genetics top 10%
- Artificial Intelligence top 10%
- Co-authors
- Andreas LindénSakari KuikkaPäivi HaapasaariAtso RomakkaniemiPekka MarttinenAnnukka LehikoinenAnssi V. VähätaloJarno Vanhatalo
- Topics
- Marine and fisheries research (30 papers)Fish Ecology and Management Studies (24 papers)Bayesian Modeling and Causal Inference (13 papers)
In The Last Decade
Samu Mäntyniemi
53 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Global and Planetary Change 696
- Nature and Landscape Conservation 531
- Ecology 498
- Genetics 204
- Artificial Intelligence 177
Countries citing papers authored by Samu Mäntyniemi
This map shows the geographic impact of Samu Mäntyniemi'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 Samu Mäntyniemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samu Mäntyniemi more than expected).
Fields of papers citing papers by Samu Mäntyniemi
This network shows the impact of papers produced by Samu Mäntyniemi. 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 Samu Mäntyniemi. The network helps show where Samu Mäntyniemi may publish in the future.
Co-authorship network of co-authors of Samu Mäntyniemi
This figure shows the co-authorship network connecting the top 25 collaborators of Samu Mäntyniemi. A scholar is included among the top collaborators of Samu Mäntyniemi 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 Samu Mäntyniemi. Samu Mäntyniemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | Ahmakannan kehitys ja ahmakanta Suomessa 2020 | 1 |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 43 | |
| 8 | 36 | |
| 9 | 14 | |
| 10 | Best practices for the provision of prior information for Bayesian stock assessment | 1 |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Using the negative binomial distribution to model overdispersion in ecological count databreakdown → | 386 |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 12 | |
| 20 | 68 |
About Samu Mäntyniemi
Samu Mäntyniemi is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Pollution, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Marine and fisheries research (30 papers), Fish Ecology and Management Studies (24 papers) and Bayesian Modeling and Causal Inference (13 papers). The work is most often cited by research in Nature and Landscape Conservation (531 citations), Global and Planetary Change (696 citations) and Ecological Modeling (99 citations). Samu Mäntyniemi has collaborated with scholars based in Finland, Sweden and Denmark. Frequent co-authors include Andreas Lindén, Sakari Kuikka, Päivi Haapasaari, Atso Romakkaniemi, Pekka Marttinen, Annukka Lehikoinen, Anssi V. Vähätalo, Jarno Vanhatalo, Mika Rahikainen and Catherine Michielsens. Their work appears in journals such as Environmental Science & Technology, Ecology and The Science of The Total Environment.
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.