Todor Pavlov

1.1k total citations
22 papers, 804 citations indexed

About

Todor Pavlov is a scholar working on Computational Theory and Mathematics, Spectroscopy and Molecular Biology. According to data from OpenAlex, Todor Pavlov has authored 22 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 7 papers in Spectroscopy and 5 papers in Molecular Biology. Recurrent topics in Todor Pavlov's work include Computational Drug Discovery Methods (17 papers), Analytical Chemistry and Chromatography (7 papers) and Chemistry and Chemical Engineering (5 papers). Todor Pavlov is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Analytical Chemistry and Chromatography (7 papers) and Chemistry and Chemical Engineering (5 papers). Todor Pavlov collaborates with scholars based in Bulgaria, United States and United Kingdom. Todor Pavlov's co-authors include Ovanes Mekenyan, S. Dimitrov, Grace Patlewicz, Chanita Kuseva, Jay Russell Niemelä, Gergana Dimitrova, Nadezhda Dimitrova, Gilman D. Veith, Atanas Chapkanov and Tomasz Sobański and has published in prestigious journals such as Environmental Toxicology and Chemistry, Chemical Research in Toxicology and Current Pharmaceutical Design.

In The Last Decade

Todor Pavlov

22 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todor Pavlov Bulgaria 15 440 205 173 148 115 22 804
Steve Gutsell United Kingdom 15 255 0.6× 216 1.1× 160 0.9× 122 0.8× 88 0.8× 33 649
Jay Russell Niemelä Denmark 10 294 0.7× 186 0.9× 103 0.6× 106 0.7× 66 0.6× 16 631
Andrea-Nicole Richarz United Kingdom 17 232 0.5× 310 1.5× 102 0.6× 181 1.2× 100 0.9× 28 822
Chanita Kuseva Bulgaria 14 262 0.6× 151 0.7× 79 0.5× 164 1.1× 88 0.8× 20 582
Susanne Glowienke Switzerland 16 221 0.5× 172 0.8× 136 0.8× 69 0.5× 58 0.5× 28 700
Claire M. Ellison United Kingdom 11 242 0.6× 158 0.8× 91 0.5× 77 0.5× 55 0.5× 14 469
Wolfgang Muster Switzerland 13 324 0.7× 85 0.4× 220 1.3× 110 0.7× 44 0.4× 26 742
Andreas Czich Germany 19 168 0.4× 175 0.9× 293 1.7× 85 0.6× 30 0.3× 30 875
Nadezhda Dimitrova Bulgaria 9 252 0.6× 166 0.8× 128 0.7× 34 0.2× 87 0.8× 20 570
Kirk Arvidson United States 11 223 0.5× 132 0.6× 98 0.6× 81 0.5× 54 0.5× 13 444

Countries citing papers authored by Todor Pavlov

Since Specialization
Citations

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

Fields of papers citing papers by Todor Pavlov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todor Pavlov

This figure shows the co-authorship network connecting the top 25 collaborators of Todor Pavlov. A scholar is included among the top collaborators of Todor Pavlov 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 Todor Pavlov. Todor Pavlov 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.
Kuseva, Chanita, et al.. (2022). Predicting explosive properties of chemicals accounting for thermodynamic and kinetic factors. Computational Toxicology. 23. 100230–100230. 3 indexed citations
2.
Dimitrova, Nadezhda, et al.. (2022). Estimating the reliability of simulated metabolism using documented data and theoretical knowledge. QSAR application. Computational Toxicology. 22. 100218–100218. 1 indexed citations
3.
Kuseva, Chanita, et al.. (2021). Criteria for quantitative assessment of metabolic similarity between chemicals. II. Application to human health endpoints. Computational Toxicology. 19. 100173–100173. 5 indexed citations
4.
Patterson, Timothy, Colin M. North, Louise Camenzuli, et al.. (2021). Selection of Representative Constituents for Unknown, Variable, Complex, or Biological Origin Substance Assessment Based on Hierarchical Clustering. Environmental Toxicology and Chemistry. 40(11). 3205–3218. 4 indexed citations
5.
Kuseva, Chanita, T.W. Schultz, Todor Pavlov, et al.. (2019). The implementation of RAAF in the OECD QSAR Toolbox. Regulatory Toxicology and Pharmacology. 105. 51–61. 19 indexed citations
6.
Schultz, T.W., Chanita Kuseva, Todor Pavlov, et al.. (2019). Automated and standardized workflows in the OECD QSAR Toolbox. Computational Toxicology. 10. 89–104. 34 indexed citations
7.
Kuseva, Chanita, Todor Pavlov, Atanas Chapkanov, et al.. (2019). Using metabolic information for categorization and read-across in the OECD QSAR Toolbox. Computational Toxicology. 12. 100102–100102. 16 indexed citations
8.
Kuseva, Chanita, T.W. Schultz, Todor Pavlov, et al.. (2019). Category consistency in the OECD QSAR Toolbox: Assessment and reporting tool to justify read-across. Computational Toxicology. 11. 65–71. 15 indexed citations
9.
Dimitrov, S., Robert Diderich, Tomasz Sobański, et al.. (2016). QSAR Toolbox – workflow and major functionalities. SAR and QSAR in environmental research. 27(3). 203–219. 175 indexed citations
10.
Dimitrov, S., et al.. (2015). UVCB substances: Methodology for structural description and application to fate and hazard assessment. Environmental Toxicology and Chemistry. 34(11). 2450–2462. 21 indexed citations
11.
Patlewicz, Grace, et al.. (2014). Towards AOP application – Implementation of an integrated approach to testing and assessment (IATA) into a pipeline tool for skin sensitization. Regulatory Toxicology and Pharmacology. 69(3). 529–545. 83 indexed citations
12.
Nikolov, Nikolai Georgiev, Todor Pavlov, Jay Russell Niemelä, & Ovanes Mekenyan. (2012). Accessing and Using Chemical Databases. Methods in molecular biology. 930. 29–52. 1 indexed citations
13.
Pavlov, Todor, et al.. (2007). Conformational Coverage by a Genetic Algorithm:  Saturation of Conformational Space. Journal of Chemical Information and Modeling. 47(3). 851–863. 23 indexed citations
14.
Nikolov, Nikolai Georgiev, et al.. (2006). Representation of Chemical Information in OASIS Centralized 3D Database for Existing Chemicals. Journal of Chemical Information and Modeling. 46(6). 2537–2551. 14 indexed citations
15.
Mekenyan, Ovanes, et al.. (2006). Performance, Reliability, and Improvement of a Tissue-Specific Metabolic Simulator. 1 indexed citations
16.
Mekenyan, Ovanes, S. Dimitrov, Todor Pavlov, & Gilman D. Veith. (2005). POPs: A QSAR System for Developing Categories for Persistent, Bioacculative and Toxic Chemicals and their Metabolites. SAR and QSAR in environmental research. 16(1-2). 103–133. 16 indexed citations
17.
Mekenyan, Ovanes, et al.. (2005). 2D-3D Migration of Large Chemical Inventories with Conformational Multiplication. Application of the Genetic Algorithm. Journal of Chemical Information and Modeling. 45(2). 283–292. 15 indexed citations
18.
Dimitrov, S., Gergana Dimitrova, Todor Pavlov, et al.. (2005). A Stepwise Approach for Defining the Applicability Domain of SAR and QSAR Models.. ChemInform. 36(39). 1 indexed citations
19.
Dimitrov, S., Gergana Dimitrova, Todor Pavlov, et al.. (2005). A Stepwise Approach for Defining the Applicability Domain of SAR and QSAR Models. Journal of Chemical Information and Modeling. 45(4). 839–849. 225 indexed citations
20.
Mekenyan, Ovanes, S. Dimitrov, Todor Pavlov, & Gilman D. Veith. (2004). A Systematic Approach to Simulating Metabolism in Computational Toxicology. I. The TIMES Heuristic Modelling Framework. Current Pharmaceutical Design. 10(11). 1273–1293. 84 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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