Samu Mäntyniemi

2.1k total citations · 1 hit paper
56 papers, 1.6k citations indexed

About

Samu Mäntyniemi is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Artificial Intelligence. According to data from OpenAlex, Samu Mäntyniemi has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Global and Planetary Change, 25 papers in Nature and Landscape Conservation and 16 papers in Artificial Intelligence. Recurrent topics in Samu Mäntyniemi's work include Marine and fisheries research (30 papers), Fish Ecology and Management Studies (24 papers) and Bayesian Modeling and Causal Inference (13 papers). Samu Mäntyniemi is often cited by papers focused on Marine and fisheries research (30 papers), Fish Ecology and Management Studies (24 papers) and Bayesian Modeling and Causal Inference (13 papers). Samu Mäntyniemi collaborates with scholars based in Finland, Sweden and Denmark. Samu Mäntyniemi's 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 and has published in prestigious journals such as Environmental Science & Technology, Ecology and The Science of The Total Environment.

In The Last Decade

Samu Mäntyniemi

53 papers receiving 1.5k citations

Hit Papers

Using the negative binomial distribution to model overdis... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samu Mäntyniemi Finland 21 696 531 498 204 177 56 1.6k
Jeffrey M. Dambacher Australia 26 1.0k 1.5× 450 0.8× 1.0k 2.0× 114 0.6× 53 0.3× 63 1.9k
Lynn A. Maguire United States 24 905 1.3× 460 0.9× 584 1.2× 62 0.3× 45 0.3× 42 2.0k
Stuart R. Borrett United States 26 715 1.0× 167 0.3× 535 1.1× 62 0.3× 114 0.6× 51 1.8k
Anna F. Cord Germany 31 1.8k 2.5× 749 1.4× 1.2k 2.4× 127 0.6× 48 0.3× 79 3.3k
Melissa A. Kenney United States 18 586 0.8× 326 0.6× 469 0.9× 31 0.2× 61 0.3× 43 1.6k
Libby Rumpff Australia 16 436 0.6× 425 0.8× 504 1.0× 68 0.3× 50 0.3× 47 1.2k
Trista Patterson United States 13 527 0.8× 267 0.5× 666 1.3× 73 0.4× 35 0.2× 22 1.8k
José A. Fernandes Spain 27 1.2k 1.8× 322 0.6× 824 1.7× 38 0.2× 65 0.4× 76 2.1k
Antonio Bodini Italy 21 370 0.5× 176 0.3× 393 0.8× 98 0.5× 42 0.2× 52 1.3k
Laurence T. Kell United Kingdom 29 2.2k 3.2× 1.3k 2.5× 967 1.9× 89 0.4× 60 0.3× 93 2.6k

Countries citing papers authored by Samu Mäntyniemi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Erkinaro, Jaakko, et al.. (2025). Bayesian species recognition and abundance estimation: unravelling the mysteries of salmonid migration in the Teno River. Canadian Journal of Fisheries and Aquatic Sciences. 82. 1–16.
3.
Mäntyniemi, Samu, et al.. (2024). A Bayesian multi-state model with data augmentation for estimating population size and effect of inbreeding on survival. Ecological Modelling. 490. 110662–110662. 1 indexed citations
4.
Kojola, Ilpo, Samuli Heikkinen, Samu Mäntyniemi, & Tuomo Ollila. (2020). Ahmakannan kehitys ja ahmakanta Suomessa 2020. Jukuri (Natural Resources Institute Finland (Luke)). 1 indexed citations
5.
Orell, Panu, et al.. (2019). Bayesian arrival model for Atlantic salmon smolt counts powered by environmental covariates and expert knowledge. Canadian Journal of Fisheries and Aquatic Sciences. 77(3). 462–474. 2 indexed citations
6.
Mäntyniemi, Samu, et al.. (2019). Incorporating stakeholders' values into environmental decision support: A Bayesian Belief Network approach. The Science of The Total Environment. 697. 134026–134026. 43 indexed citations
7.
Whitlock, Rebecca, Samu Mäntyniemi, Stefan Palm, et al.. (2017). Integrating genetic analysis of mixed populations with a spatially explicit population dynamics model. Methods in Ecology and Evolution. 9(4). 1017–1035. 14 indexed citations
8.
Bal, Guillaume, Rainer Froese, Sakari Kuikka, et al.. (2015). Best practices for the provision of prior information for Bayesian stock assessment. Helmholtz Centre for Ocean Research Kiel (GEOMAR). 1 indexed citations
10.
Mäntyniemi, Samu, Laura Uusitalo, Heikki Peltonen, Päivi Haapasaari, & Sakari Kuikka. (2013). Integrated, age-structured, length-based stock assessment model with uncertain process variances, structural uncertainty, and environmental covariates: case of Central Baltic herring. Canadian Journal of Fisheries and Aquatic Sciences. 70(9). 1317–1326. 27 indexed citations
12.
Mäntyniemi, Samu, et al.. (2013). Incorporating stakeholders' knowledge to stock assessment: Central Baltic herring. Canadian Journal of Fisheries and Aquatic Sciences. 70(4). 591–599. 20 indexed citations
13.
Mäntyniemi, Samu, Atso Romakkaniemi, Johan Dannewitz, et al.. (2012). Both predation and feeding opportunities may explain changes in survival of Baltic salmon post-smolts. ICES Journal of Marine Science. 69(9). 1574–1579. 28 indexed citations
14.
Pastoors, M.A., Clara Ulrich, Douglas C. Wilson, et al.. (2012). JAKFISH Policy Brief: coping with uncertainty, complexity and ambiguity in fisheries management through participatory knowledge development. Open MIND. 1 indexed citations
15.
Helle, Inari, Jarno Vanhatalo, Mika Rahikainen, Samu Mäntyniemi, & Sakari Kuikka. (2012). Integrated Bayesian risk analysis of ecosystem management in the Gulf of Finland, the Baltic Sea How to do it?. Open MIND. 1 indexed citations
16.
Kuikka, Sakari, Päivi Haapasaari, Inari Helle, Soile Kulmala, & Samu Mäntyniemi. (2011). Experiences in applying Bayesian integrative models in interdisciplinary modeling: the computational and human challenges. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 3 indexed citations
17.
Lindén, Andreas & Samu Mäntyniemi. (2011). Using the negative binomial distribution to model overdispersion in ecological count data. Ecology. 92(7). 1414–1421. 386 indexed citations breakdown →
18.
Mäntyniemi, Samu, Päivi Haapasaari, & Sakari Kuikka. (2009). Incorporating stakeholders' knowledge to stock assessment: how?. Open MIND. 4 indexed citations
19.
Haapasaari, Päivi, Samu Mäntyniemi, & Sakari Kuikka. (2009). Participatory modeling to enhance understanding and consensus within fisheries management: the Baltic herring case. Open MIND. 5 indexed citations
20.
Kiljunen, Mikko, Samu Mäntyniemi, Heikki Peltonen, et al.. (2007). Human Dietary Intake of Organochlorines from Baltic Herring: Implications of Individual Fish Variability and Fisheries Management. AMBIO. 36(2). 257–264. 12 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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