Finn Lindgren
Impact in
- Environmental Engineering top 0.5%
- Soil Geostatistics and Mapping
- Ecological Modeling top 1%
- Species Distribution and Climate Change
Papers in
-
- Statistical Methods and Bayesian Inference 14
- Statistical Methods and Inference 5
-
- Soil Geostatistics and Mapping 28
- Remote Sensing and LiDAR Applications 10
- Co-authors
- Håvard RueJohan LindströmDaniel SimpsonDavid BolinJanine IllianAndrea RieblerThiago G. MartinsSigrunn H. Sørbye
- Journals
- Environmetrics (6 papers)Computational Statistics & Data Analysis (4 papers)Journal of Computational and Graphical Statistics (4 papers)European Journal of Operational Research (2 papers)Methods in Ecology and Evolution (2 papers)
- Partner nations
- United KingdomNorwaySweden
In The Last Decade
Finn Lindgren
66 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Environmental Engineering 1.6k
- Ecological Modeling 435
- Statistics and Probability 797
- Global and Planetary Change 1.2k
- Nature and Landscape Conservation 666
Countries citing papers authored by Finn Lindgren
This map shows the geographic impact of Finn Lindgren'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 Finn Lindgren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Finn Lindgren more than expected).
Fields of papers citing papers by Finn Lindgren
This network shows the impact of papers produced by Finn Lindgren. 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 Finn Lindgren. The network helps show where Finn Lindgren may publish in the future.
Co-authors
The 25 scholars most cited alongside Finn Lindgren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 59 | |
| 9 | 2021 | 9 | |
| 10 | 2018 | 241 | |
| 11 | Methods for Analyzing Large Spatial Data: A Review and Comparison | 2017 | 13 |
| 12 | Point process models for spatio-temporal distance sampling data | 2016 | 3 |
| 13 | Bayesian Spatial Modelling withR-INLA Hit paper breakdown → | 2015 | 761 |
| 14 | Interpretable Priors for Hyperparameters for Gaussian Random Fields | 2015 | 9 |
| 15 | 2015 | 22 | |
| 16 | Bayesian computing with INLA: New features Hit paper breakdown → | 2013 | 402 |
| 17 | Spatial wavelet Markov models are more efficient than covariance tapering and process convolutions | 2011 | 3 |
| 18 | Using the SPDE approach for air qualitymapping in Piemonte region | 2011 | 2 |
| 19 | 2008 | 17 | |
| 20 | 2006 | 11 |
About Finn Lindgren
Finn Lindgren is a scholar working on Statistics and Probability, Environmental Engineering, Artificial Intelligence, Applied Mathematics and Global and Planetary Change, having authored 67 papers that have together received 5.6k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (28 papers), Statistical Methods and Bayesian Inference (14 papers), Bayesian Methods and Mixture Models (11 papers), Spatial and Panel Data Analysis (11 papers), Remote Sensing and LiDAR Applications (10 papers), Remote Sensing in Agriculture (6 papers), Climate variability and models (5 papers) and Statistical Methods and Inference (5 papers). The work is most often cited by research in Environmental Engineering (1.6k citations), Ecological Modeling (435 citations), Statistics and Probability (797 citations), Global and Planetary Change (1.2k citations) and Nature and Landscape Conservation (666 citations). Finn Lindgren has collaborated with scholars based in United Kingdom, Norway and Sweden. Frequent co-authors include Håvard Rue, Johan Lindström, Daniel Simpson, David Bolin, Janine Illian, Andrea Riebler, Thiago G. Martins, Sigrunn H. Sørbye, Geir‐Arne Fuglstad and Michela Cameletti. Their work appears in journals such as Environmetrics, Computational Statistics & Data Analysis, Journal of Computational and Graphical Statistics, European Journal of Operational Research and Methods in Ecology and Evolution.
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.