Nikolas Kantas

1.1k total citations
33 papers, 461 citations indexed

About

Nikolas Kantas is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Nikolas Kantas has authored 33 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Statistics and Probability and 9 papers in Computer Networks and Communications. Recurrent topics in Nikolas Kantas's work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Markov Chains and Monte Carlo Methods (8 papers) and Statistical Methods and Inference (6 papers). Nikolas Kantas is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (10 papers), Markov Chains and Monte Carlo Methods (8 papers) and Statistical Methods and Inference (6 papers). Nikolas Kantas collaborates with scholars based in United Kingdom, Singapore and France. Nikolas Kantas's co-authors include Sumeetpal S. Singh, Randal Douc, J.M. Maciejowski, Ajay Jasra, Alexandros Beskos, Alexandre H. Thiéry, Andrea Lecchini‐Visintini, Nick Whiteley, Panos Parpas and Grigorios A. Pavliotis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and European Journal of Operational Research.

In The Last Decade

Nikolas Kantas

31 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolas Kantas United Kingdom 11 246 120 69 68 65 33 461
Nadia Oudjane France 9 153 0.6× 51 0.4× 47 0.7× 70 1.0× 79 1.2× 30 363
François Le Gland France 12 271 1.1× 100 0.8× 62 0.9× 104 1.5× 33 0.5× 27 491
Nick Whiteley United Kingdom 13 270 1.1× 104 0.9× 43 0.6× 46 0.7× 19 0.3× 39 505
Johannes Schmidt-Hieber Netherlands 8 211 0.9× 101 0.8× 18 0.3× 38 0.6× 46 0.7× 22 535
C. Johan Masreliez United States 7 341 1.4× 190 1.6× 99 1.4× 222 3.3× 85 1.3× 21 687
Arunabha Bagchi Netherlands 12 125 0.5× 45 0.4× 51 0.7× 150 2.2× 24 0.4× 69 438
Anthony Quinn Ireland 13 382 1.6× 37 0.3× 46 0.7× 140 2.1× 45 0.7× 54 698
Richard C. Liu United States 11 130 0.5× 374 3.1× 16 0.2× 69 1.0× 23 0.4× 18 588
Pushpa N. Rathie Brazil 14 138 0.6× 172 1.4× 32 0.5× 31 0.5× 42 0.6× 91 735
Jimmy Olsson Sweden 11 305 1.2× 131 1.1× 35 0.5× 85 1.3× 10 0.2× 36 424

Countries citing papers authored by Nikolas Kantas

Since Specialization
Citations

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

Fields of papers citing papers by Nikolas Kantas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolas Kantas

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolas Kantas. A scholar is included among the top collaborators of Nikolas Kantas 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 Nikolas Kantas. Nikolas Kantas 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.
Kantas, Nikolas, et al.. (2025). Scalarisation-based risk concepts for robust multi-objective optimisation. European Journal of Operational Research. 327(2). 559–576.
2.
Kantas, Nikolas, et al.. (2025). Multiobjective Optimization Using the R2 Utility. SIAM Review. 67(2). 213–255. 1 indexed citations
3.
Borovykh, Anastasia, Nikolas Kantas, Panos Parpas, & Grigorios A. Pavliotis. (2024). Stochastic Mirror Descent for Convex Optimization with Consensus Constraints. SIAM Journal on Applied Dynamical Systems. 23(3). 2208–2241. 1 indexed citations
4.
Kantas, Nikolas, et al.. (2023). Online parameter estimation for the McKean–Vlasov stochastic differential equation. Stochastic Processes and their Applications. 162. 481–546. 14 indexed citations
5.
Kantas, Nikolas, et al.. (2022). Joint Online Parameter Estimation and Optimal Sensor Placement for the Partially Observed Stochastic Advection-Diffusion Equation. SIAM/ASA Journal on Uncertainty Quantification. 10(1). 55–95. 4 indexed citations
6.
Beskos, Alexandros, et al.. (2022). A Lagged Particle Filter for Stable Filtering of Certain High-Dimensional State-Space Models. SIAM/ASA Journal on Uncertainty Quantification. 10(3). 1130–1161. 5 indexed citations
7.
Borovykh, Anastasia, Nikolas Kantas, Panos Parpas, & Grigorios A. Pavliotis. (2021). On stochastic mirror descent with interacting particles: Convergence properties and variance reduction. Physica D Nonlinear Phenomena. 418. 132844–132844. 4 indexed citations
8.
Peters, Gareth W., et al.. (2020). Factor-Augmented Bayesian Cointegration Models: A Case-Study on The Soybean Crush Spread. Journal of the Royal Statistical Society Series C (Applied Statistics). 69(2). 483–500. 8 indexed citations
9.
Kantas, Nikolas, et al.. (2017). Particle Filtering for Stochastic Navier-Stokes Signal Observed with\n Linear Additive Noise. arXiv (Cornell University). 10 indexed citations
10.
Whiteley, Nick & Nikolas Kantas. (2017). Calculating Principal Eigen-Functions of Non-Negative Integral Kernels: Particle Approximations and Applications. Mathematics of Operations Research. 42(4). 1007–1034. 3 indexed citations
11.
Peters, Gareth W., et al.. (2017). Estimation of Cointegrated Spaces: A Numerical Case Study on Efficiency, Accuracy and Influence of the Model Noise. SSRN Electronic Journal. 1 indexed citations
12.
Kantas, Nikolas, Alexandros Beskos, & Ajay Jasra. (2014). Sequential Monte Carlo Methods for High-Dimensional Inverse Problems: A Case Study for the Navier--Stokes Equations. SIAM/ASA Journal on Uncertainty Quantification. 2(1). 464–489. 48 indexed citations
13.
Jasra, Ajay, et al.. (2013). Gradient Free Parameter Estimation for Hidden Markov Models with Intractable Likelihoods. Methodology And Computing In Applied Probability. 17(2). 315–349. 12 indexed citations
14.
Whiteley, Nick, Nikolas Kantas, & Ajay Jasra. (2012). Linear variance bounds for particle approximations of time-homogeneous Feynman–Kac formulae. Stochastic Processes and their Applications. 122(4). 1840–1865. 12 indexed citations
15.
Kantas, Nikolas. (2009). Sequential decision making in general state space models. Cambridge University Engineering Department Publications Database. 2 indexed citations
16.
Kantas, Nikolas, Randal Douc, Sumeetpal S. Singh, & J.M. Maciejowski. (2009). An Overview of Sequential Monte Carlo Methods for Parameter Estimation in General State-Space Models. IFAC Proceedings Volumes. 42(10). 774–785. 157 indexed citations
17.
Kantas, Nikolas, Sumeetpal S. Singh, & Randal Douc. (2006). A Distributed Recursive Maximum Likelihood Implementation for Sensor Registration. 1–8. 4 indexed citations
18.
Kantas, Nikolas, Sumeetpal S. Singh, & Randal Douc. (2006). Distributed Self Localisation of Sensor Networks using Particle Methods. 164–167. 1 indexed citations
19.
Singh, Sumeetpal S., Nikolas Kantas, Randal Douc, Ba‐Ngu Vo, & Robin J. Evans. (2006). Simulation-Based Optimal Sensor Scheduling with Application to Observer Trajectory Planning. 146. 7296–7301. 14 indexed citations
20.
Singh, Sumeetpal S., Nikolas Kantas, Ba‐Ngu Vo, Randal Douc, & Robin J. Evans. (2005). On the convergence of a two timescale stochastic optimisation algorithm for optimal observer trajectory planning. Cambridge University Engineering Department Publications Database. 1 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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