Roman Timofeev
Impact in
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- Plant Micronutrient Interactions and Effects
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
- Legume Nitrogen Fixing Symbiosis
- Aluminum toxicity and tolerance in plants and animals
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- Stochastic processes and financial applications
Papers in
- Finance 3
- Financial Markets and Investment Strategies 2
- Stochastic processes and financial applications 2
- Financial Risk and Volatility Modeling 2
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- Multi-Criteria Decision Making 1
- Forecasting Techniques and Applications 1
- Co-authors
- Ping Lan (1 shared paper)Thomas J. Buckhout (1 shared paper)Wolfgang Schmidt (1 shared paper)Wolfgang Karl Härdle (5 shared papers)
- Journals
- PLoS ONE (1 paper)Applied Stochastic Models in Business and Industry (1 paper)AStA Advances in Statistical Analysis (1 paper)International Multidisciplinary Scientific GeoConference SGEM ... (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- GermanyUnited StatesTaiwan
In The Last Decade
Roman Timofeev
7 papers receiving 300 citations
Peers
Comparison fields: 5 of 118
- Plant Science 93
- Finance 21
- Environmental Engineering 25
- Artificial Intelligence 54
- Computer Science Applications 9
Countries citing papers authored by Roman Timofeev
This map shows the geographic impact of Roman Timofeev'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 Roman Timofeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Timofeev more than expected).
Fields of papers citing papers by Roman Timofeev
This network shows the impact of papers produced by Roman Timofeev. 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 Roman Timofeev. The network helps show where Roman Timofeev may publish in the future.
Co-authors
The 4 scholars most cited alongside Roman Timofeev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Classification and Regression Trees(CART)Theory and Applications | 2004 | 191 |
| 2 | 2014 | 96 | |
| 3 | 2014 | 15 | |
| 4 | 2008 | 4 | |
| 5 | 2006 | 2 | |
| 6 | 2008 | 1 | |
| 7 | 2006 | 1 | |
| 8 | 2018 | 0 |
About Roman Timofeev
Roman Timofeev is a scholar working on Finance, Management Science and Operations Research, Statistics and Probability, Atomic and Molecular Physics, and Optics and Hematology, having authored 8 papers that have together received 310 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (2 papers), Stochastic processes and financial applications (2 papers), Financial Risk and Volatility Modeling (2 papers), Complex Systems and Time Series Analysis (1 paper), Multi-Criteria Decision Making (1 paper), Plant Stress Responses and Tolerance (1 paper), Iron Metabolism and Disorders (1 paper) and Forecasting Techniques and Applications (1 paper). The work is most often cited by research in Plant Science (93 citations), Finance (21 citations), Environmental Engineering (25 citations), Artificial Intelligence (54 citations) and Computer Science Applications (9 citations). Roman Timofeev has collaborated with scholars based in Germany, United States and Taiwan. Frequent co-authors include Ping Lan, Thomas J. Buckhout, Wolfgang Schmidt and Wolfgang Karl Härdle. Their work appears in journals such as PLoS ONE, Applied Stochastic Models in Business and Industry, AStA Advances in Statistical Analysis, International Multidisciplinary Scientific GeoConference SGEM ... and SSRN Electronic Journal.
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.