Jimmy Olsson

871 total citations
36 papers, 424 citations indexed

About

Jimmy Olsson is a scholar working on Artificial Intelligence, Statistics and Probability and Civil and Structural Engineering. According to data from OpenAlex, Jimmy Olsson has authored 36 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 20 papers in Statistics and Probability and 3 papers in Civil and Structural Engineering. Recurrent topics in Jimmy Olsson's work include Target Tracking and Data Fusion in Sensor Networks (22 papers), Bayesian Methods and Mixture Models (19 papers) and Statistical Methods and Bayesian Inference (9 papers). Jimmy Olsson is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (22 papers), Bayesian Methods and Mixture Models (19 papers) and Statistical Methods and Bayesian Inference (9 papers). Jimmy Olsson collaborates with scholars based in Sweden, France and United States. Jimmy Olsson's co-authors include Éric Moulines, Randal Douc, Aurélien Garivier, Olivier Cappé, Julien Cornebise, Tobias Rydén, Tobias Rydèn, Ramon van Handel, Rasmus Bokrantz and Thomas B. Schön and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Signal Processing and The Annals of Statistics.

In The Last Decade

Jimmy Olsson

31 papers receiving 397 citations

Peers

Jimmy Olsson

CSE

FINAN

CNC

Nikolas Kantas United Kingdom

Nadia Oudjane France

Benoı̂t Cadre France

Arunabha Bagchi Netherlands

ByoungSeon Choi South Korea

Michael E. Welch United States

Michael A. Kouritzin Canada

M. M. Gabr Egypt

Peter Radchenko United States

Nikolas Kantas United Kingdom

Jimmy Olsson

246 ×0.8

120 ×0.9

68 ×0.8

CSE

46 ×1.3

FINAN

69 ×2.0

CNC

Citations per year, relative to Jimmy Olsson Jimmy Olsson (= 1×) peers Nikolas Kantas

Countries citing papers authored by Jimmy Olsson

Since Specialization

Citations

This map shows the geographic impact of Jimmy Olsson'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 Jimmy Olsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimmy Olsson more than expected).

Fields of papers citing papers by Jimmy Olsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jimmy Olsson. 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 Jimmy Olsson. The network helps show where Jimmy Olsson may publish in the future.

Co-authorship network of co-authors of Jimmy Olsson

This figure shows the co-authorship network connecting the top 25 collaborators of Jimmy Olsson. A scholar is included among the top collaborators of Jimmy Olsson 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 Jimmy Olsson. Jimmy Olsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Durmus, Alain, et al.. (2024). Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors. 97408–97444.

Olsson, Jimmy, et al.. (2023). Adaptive online variance estimation in particle filters: the ALVar estimator. Statistics and Computing. 33(4).

Bokrantz, Rasmus, et al.. (2023). A similarity-based Bayesian mixture-of-experts model. Statistics and Computing. 33(4).

Olsson, Jimmy, et al.. (2022). Fast and Numerically Stable Particle-Based Online Additive Smoothing: The AdaSmooth Algorithm. Journal of the American Statistical Association. 119(545). 356–367. 4 indexed citations

Bokrantz, Rasmus, et al.. (2022). Probabilistic Pareto plan generation for semiautomated multicriteria radiation therapy treatment planning. Physics in Medicine and Biology. 67(4). 45001–45001. 6 indexed citations

Olsson, Jimmy, et al.. (2022). Sequential sampling of junction trees for decomposable graphs. Statistics and Computing. 32(5). 1 indexed citations

Olsson, Jimmy & Randal Douc. (2019). Numerically stable online estimation of variance in particle filters. Bernoulli. 25(2). 5 indexed citations

Olsson, Jimmy, et al.. (2017). Efficient particle-based online smoothing in general hidden Markov models: The PaRIS algorithm. Bernoulli. 23(3). 19 indexed citations

Moral, Pierre Del, et al.. (2016). Convergence properties of weighted particle islands with application to the double bootstrap algorithm. Stochastic Systems. 6(2). 367–419. 2 indexed citations

10.

Olsson, Jimmy, et al.. (2015). An efficient particle-based online EM algorithm for general state-space models**This work is supported by the Swedish Research Council, Grant 2011-5577.. IFAC-PapersOnLine. 48(28). 963–968. 2 indexed citations

11.

Bizjajeva, Svetlana & Jimmy Olsson. (2015). Antithetic sampling for sequential Monte Carlo methods with application to state-space models. Annals of the Institute of Statistical Mathematics. 68(5). 1025–1053.

12.

Douc, Randal, et al.. (2014). Comparison of asymptotic variances of inhomogeneous Markov chains with application to Markov chain Monte Carlo methods. The Annals of Statistics. 42(4). 12 indexed citations

13.

Douc, Randal, Éric Moulines, & Jimmy Olsson. (2013). Long-term stability of sequential Monte Carlo methods under verifiable conditions. 23 indexed citations

14.

Douc, Randal, et al.. (2013). Partial Ordering of Inhomogeneous Markov Chains with Applications to Markov Chain Monte Carlo Methods. arXiv (Cornell University). 1 indexed citations

15.

Cornebise, Julien, Éric Moulines, & Jimmy Olsson. (2013). Adaptive sequential Monte Carlo by means of mixture of experts. Statistics and Computing. 24(3). 317–337. 5 indexed citations

16.

Douc, Randal, et al.. (2011). Consistency of the maximum likelihood estimator for general hidden markov models. 33 indexed citations

17.

Lindsten, Fredrik, Thomas B. Schön, & Jimmy Olsson. (2011). An explicit variance reduction expression for the Rao-Blackwellised particle filter. IFAC Proceedings Volumes. 44(1). 11979–11984. 15 indexed citations

18.

Olsson, Jimmy, Olivier Cappé, Randal Douc, & Éric Moulines. (2008). Sequential Monte Carlo smoothing with application to parameter estimation in nonlinear state space models. Bernoulli. 14(1). 82 indexed citations

19.

Olsson, Jimmy & Tobias Rydén. (2007). Asymptotic properties of particle filter-based maximum likelihood estimators for state space models. Stochastic Processes and their Applications. 118(4). 649–680. 19 indexed citations

20.

Olsson, Jimmy, Olivier Cappé, Randal Douc, & Éric Moulines. (2006). Sequential Monte Carlo smoothing with estimation in non-linear state space models. Lund University Publications (Lund University). 2 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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