Valentin Todorov
Impact in
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
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- Advanced Statistical Process Monitoring
Papers in
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- Advanced Statistical Methods and Models 17
- Statistical Methods and Inference 7
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- Energy, Environment, Economic Growth 12
- Economic and Technological Innovation 4
- Co-authors
- Peter Filzmoser (8 shared papers)Jaime Moll (11 shared papers)Matthias Templ (5 shared papers)George Halkos (2 shared papers)Neyko Neykov (2 shared papers)Plamen Neytchev (2 shared papers)Karel Hron (4 shared papers)Kris Boudt (3 shared papers)
In The Last Decade
Valentin Todorov
41 papers receiving 760 citations
Peers
Comparison fields: 5 of 151
- Statistics and Probability 211
- Statistics, Probability and Uncertainty 100
- Analytical Chemistry 118
- Environmental Engineering 57
- Biophysics 22
Countries citing papers authored by Valentin Todorov
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
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-authors
The 24 scholars most cited alongside Valentin Todorov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 260 | |
| 2 | 2012 | 96 | |
| 3 | 2009 | 59 | |
| 4 | 2011 | 54 | |
| 5 | 2012 | 45 | |
| 6 | 2010 | 32 | |
| 7 | 2020 | 29 | |
| 8 | 2007 | 25 | |
| 9 | Basic Robust Statistics [R package robustbase version 0.93-6] | 2020 | 24 |
| 10 | 2007 | 20 | |
| 11 | 2021 | 14 | |
| 12 | 1992 | 13 | |
| 13 | 1994 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2016 | 7 | |
| 20 | 2020 | 6 |
About Valentin Todorov
Valentin Todorov is a scholar working on Statistics and Probability, Economics and Econometrics, Artificial Intelligence, Analytical Chemistry and Statistics, Probability and Uncertainty, having authored 43 papers that have together received 792 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (17 papers), Energy, Environment, Economic Growth (12 papers), Spectroscopy and Chemometric Analyses (7 papers), Statistical Methods and Inference (7 papers), Advanced Statistical Process Monitoring (6 papers), Geochemistry and Geologic Mapping (6 papers), Sustainable Supply Chain Management (5 papers) and Economic and Technological Innovation (4 papers). The work is most often cited by research in Statistics and Probability (211 citations), Statistics, Probability and Uncertainty (100 citations), Analytical Chemistry (118 citations), Environmental Engineering (57 citations) and Biophysics (22 citations). Valentin Todorov has collaborated with scholars based in Austria, Bulgaria and Czechia. Frequent 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. Their work appears in journals such as Computational Statistics & Data Analysis, Information Sciences, World Review of Science Technology and Sustainable Development, Scandinavian Journal of Statistics and Analytica Chimica Acta.
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.