Valentin Todorov

1.4k total citations
43 papers, 792 citations indexed

About

Valentin Todorov is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Valentin Todorov has authored 43 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 14 papers in Economics and Econometrics and 7 papers in Artificial Intelligence. Recurrent topics in Valentin Todorov's work include Advanced Statistical Methods and Models (17 papers), Energy, Environment, Economic Growth (12 papers) and Statistical Methods and Inference (7 papers). Valentin Todorov is often cited by papers focused on Advanced Statistical Methods and Models (17 papers), Energy, Environment, Economic Growth (12 papers) and Statistical Methods and Inference (7 papers). Valentin Todorov collaborates with scholars based in Austria, Czechia and Bulgaria. Valentin Todorov's co-authors include Peter Filzmoser, Jaime Moll, Matthias Templ, George Halkos, Neyko Neykov, Plamen Neytchev, Karel Hron, Kris Boudt, Pieter van Gelder and Andreas Ruckstuhl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Water Resources Research.

In The Last Decade

Valentin Todorov

41 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Valentin Todorov Austria	12	211	118	105	100	81	43	792
Manuel Escabias Spain	13	280 1.3×	122 1.0×	83 0.8×	84 0.8×	44 0.5×	33	679
Nedret Billor United States	16	308 1.5×	68 0.6×	110 1.0×	158 1.6×	141 1.7×	45	1.1k
Charles L. Dunn United States	7	137 0.6×	66 0.6×	137 1.3×	58 0.6×	70 0.9×	22	1.4k
Spencer Graves United States	9	167 0.8×	40 0.3×	109 1.0×	79 0.8×	72 0.9×	24	795
James Gorman Australia	5	212 1.0×	58 0.5×	86 0.8×	73 0.7×	26 0.3×	8	808
Natalie Neumeyer Germany	17	551 2.6×	34 0.3×	127 1.2×	73 0.7×	91 1.1×	43	1.4k
Dayanand N. Naik United States	14	217 1.0×	42 0.4×	84 0.8×	38 0.4×	45 0.6×	40	875
Allan McQuarrie United States	9	300 1.4×	27 0.2×	177 1.7×	69 0.7×	114 1.4×	13	1.1k
Gregory A. Mack United States	14	253 1.2×	113 1.0×	78 0.7×	50 0.5×	40 0.5×	27	1.2k
Randall Brooks United Kingdom	12	280 1.3×	171 1.4×	95 0.9×	92 0.9×	33 0.4×	31	782

Countries citing papers authored by Valentin Todorov

Since Specialization

Citations

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

Fields of papers citing papers by Valentin Todorov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentin Todorov

This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Todorov. A scholar is included among the top collaborators of Valentin Todorov 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 Valentin Todorov. Valentin Todorov 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

Todorov, Valentin, et al.. (2025). Robust tools for three-way component analysis of compositional data. Behaviormetrika. 53(1). 265–296.

Todorov, Valentin. (2024). The R Package Ecosystem for Robust Statistics. Wiley Interdisciplinary Reviews Computational Statistics. 16(6). 1 indexed citations

Todorov, Valentin, et al.. (2023). A novel estimation procedure for robust CANDECOMP/PARAFAC model fitting. Econometrics and Statistics. 3 indexed citations

Todorov, Valentin & Ana M. Pires. (2022). Comparative Performance of Several Robust Linear Discriminant Analysis Methods. SHILAP Revista de lepidopterología. 3 indexed citations

Cantore, Nicola, et al.. (2021). Switching it up: The effect of energy price reforms in Oman. World Development. 142. 105252–105252. 8 indexed citations

Todorov, Valentin & Maria Dimitrova. (2020). Stroke and the immune system: A review of the new strategies. SHILAP Revista de lepidopterología. 62(3). 431–437. 3 indexed citations

Todorov, Valentin, et al.. (2020). Assessment of Anxiety and Depressive Symptoms in the Early Post-stroke Period. SHILAP Revista de lepidopterología. 62(4). 695–702. 1 indexed citations

Todorov, Valentin & Jaime Moll. (2020). A longitudinal study of green industrial performance for the period 2000-2015. World Review of Entrepreneurship Management and Sustainable Development. 16(3). 1–1. 1 indexed citations

Moll, Jaime & Valentin Todorov. (2020). A longitudinal study of green industrial performance for the period 2000-2015. World Review of Entrepreneurship Management and Sustainable Development. 16(2). 204–204. 2 indexed citations

10.

Boudt, Kris, et al.. (2020). Robust Distribution-Based Winsorization in Composite Indicators Construction. Social Indicators Research. 149(2). 375–397. 10 indexed citations

11.

Maechler, Martin, et al.. (2020). Basic Robust Statistics [R package robustbase version 0.93-6]. 24 indexed citations

12.

Todorov, Valentin & Jaime Moll. (2018). Green industrial performance: the GIP index. World Review of Science Technology and Sustainable Development. 14(2/3). 266–266. 4 indexed citations

13.

Hron, Karel, et al.. (2018). General approach to coordinate representation of compositional tables. Scandinavian Journal of Statistics. 45(4). 879–899. 8 indexed citations

14.

Hron, Karel, et al.. (2016). Compositional Tables Analysis in Coordinates. Scandinavian Journal of Statistics. 43(4). 962–977. 8 indexed citations

15.

Todorov, Valentin & Peter Filzmoser. (2014). Software Tools for Robust Analysis of High-Dimensional Data. Austrian Journal of Statistics. 43(4). 255–266. 4 indexed citations

16.

Hron, Karel, et al.. (2013). Logratio approach to statistical analysis of 2×2 compositional tables. Journal of Applied Statistics. 41(5). 944–958. 5 indexed citations

17.

Filzmoser, Peter & Valentin Todorov. (2011). Review of robust multivariate statistical methods in high dimension. Analytica Chimica Acta. 705(1-2). 2–14. 54 indexed citations

18.

Todorov, Valentin & Peter Filzmoser. (2009). Robust statistic for the one-way MANOVA. Computational Statistics & Data Analysis. 54(1). 37–48. 59 indexed citations

19.

Boudt, Kris, et al.. (2009). Nowcasting manufacturing value added for cross-country comparison. Statistical Journal of the IAOS. 26(1-2). 15–20. 5 indexed citations

20.

Todorov, Valentin. (2007). Robust selection of variables in linear discriminant analysis. Statistical Methods & Applications. 15(3). 395–407. 25 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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