Daniel Conus

499 total citations
12 papers, 235 citations indexed

About

Daniel Conus is a scholar working on Finance, Mathematical Physics and Condensed Matter Physics. According to data from OpenAlex, Daniel Conus has authored 12 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Finance, 6 papers in Mathematical Physics and 2 papers in Condensed Matter Physics. Recurrent topics in Daniel Conus's work include Stochastic processes and financial applications (8 papers), Stochastic processes and statistical mechanics (5 papers) and Financial Risk and Volatility Modeling (2 papers). Daniel Conus is often cited by papers focused on Stochastic processes and financial applications (8 papers), Stochastic processes and statistical mechanics (5 papers) and Financial Risk and Volatility Modeling (2 papers). Daniel Conus collaborates with scholars based in United States, Canada and Switzerland. Daniel Conus's co-authors include Davar Khoshnevisan, Robert C. Dalang, Jiangfan Zhang, Rick S. Blum, Arnulf Jentzen, Raluca M. Balan, Liyang Ma, Paolo Bocchini and Javier Buceta and has published in prestigious journals such as IEEE Transactions on Signal Processing, Probability Theory and Related Fields and Ecology and Evolution.

In The Last Decade

Daniel Conus

11 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Conus United States	8	141	104	57	52	51	12	235
Onno van Gaans Netherlands	9	85 0.6×	110 1.1×	48 0.8×	60 1.2×	50 1.0×	41	249
Hongbo Fu China	9	149 1.1×	54 0.5×	103 1.8×	92 1.8×	47 0.9×	24	256
Andreas Basse-O’Connor Denmark	10	138 1.0×	61 0.6×	13 0.2×	48 0.9×	18 0.4×	26	249
Jinniao Qiu Canada	9	133 0.9×	12 0.1×	36 0.6×	29 0.6×	29 0.6×	26	221
Omar Hijab United States	9	42 0.3×	42 0.4×	40 0.7×	82 1.6×	8 0.2×	30	226
Vladimir S. Korolyuk Ukraine	5	46 0.3×	71 0.7×	24 0.4×	15 0.3×	16 0.3×	9	178
Chloé Jimenez France	10	39 0.3×	43 0.4×	57 1.0×	27 0.5×	17 0.3×	15	218
Naoyuki Ishimura Japan	9	59 0.4×	67 0.6×	52 0.9×	35 0.7×	28 0.5×	55	262
Paul Raynaud de Fitte France	8	75 0.5×	39 0.4×	59 1.0×	95 1.8×	28 0.5×	22	217
Masatoshi Fujisaki Japan	3	89 0.6×	24 0.2×	25 0.4×	59 1.1×	12 0.2×	10	203

Countries citing papers authored by Daniel Conus

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Conus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Conus

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

All Works

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12 of 12 papers shown

Conus, Daniel, et al.. (2023). Random field calibration with data on irregular grid for regional analyses: A case study on the bare carrying capacity of bats in Africa. Ecology and Evolution. 13(9). e10489–e10489. 1 indexed citations

Ma, Liyang, Daniel Conus, & Paolo Bocchini. (2021). Optimal Generation of Multivariate Seismic Intensity Maps Using Hazard Quantization. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 8(1). 3 indexed citations

Dalang, Robert C. & Daniel Conus. (2015). Introduction à la théorie des probabilités.

Conus, Daniel, et al.. (2014). Weak convergence rates of spectral Galerkin approximations for SPDEs with nonlinear diffusion coefficients. arXiv (Cornell University). 26 indexed citations

Zhang, Jiangfan, et al.. (2014). Asymptotically Optimum Distributed Estimation in the Presence of Attacks. IEEE Transactions on Signal Processing. 63(5). 1086–1101. 62 indexed citations

Balan, Raluca M. & Daniel Conus. (2014). A note on intermittency for the fractional heat equation. Statistics & Probability Letters. 95. 6–14. 15 indexed citations

Conus, Daniel, et al.. (2014). Initial measures for the stochastic heat equation. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 50(1). 14 indexed citations

Conus, Daniel. (2013). Moments for the parabolic Anderson model: on a result by Hu and Nualart. Communications on Stochastic Analysis. 7(1). 7 indexed citations

Conus, Daniel, et al.. (2012). On the chaotic character of the stochastic heat equation, II. Probability Theory and Related Fields. 156(3-4). 483–533. 27 indexed citations

10.

Conus, Daniel, et al.. (2012). Correlation-length bounds, and estimates for intermittent islands in parabolic SPDEs. Electronic Journal of Probability. 17(none). 12 indexed citations

11.

Conus, Daniel & Davar Khoshnevisan. (2010). On the existence and position of the farthest peaks of a family of stochastic heat and wave equations. Probability Theory and Related Fields. 152(3-4). 681–701. 27 indexed citations

12.

Conus, Daniel & Robert C. Dalang. (2008). The Non-Linear Stochastic Wave Equation in High Dimensions. Electronic Journal of Probability. 13(none). 41 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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