Nadezhda Dimitrova

723 total citations
20 papers, 570 citations indexed

About

Nadezhda Dimitrova is a scholar working on Pollution, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Nadezhda Dimitrova has authored 20 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pollution, 6 papers in Molecular Biology and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Nadezhda Dimitrova's work include Computational Drug Discovery Methods (5 papers), Pesticide and Herbicide Environmental Studies (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Nadezhda Dimitrova is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Pesticide and Herbicide Environmental Studies (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Nadezhda Dimitrova collaborates with scholars based in Bulgaria, United States and United Kingdom. Nadezhda Dimitrova's co-authors include Ovanes Mekenyan, S. Dimitrov, Gergana Dimitrova, Jay Russell Niemelä, Grace Patlewicz, Todor Pavlov, Mike Comber, Thomas F. Parkerton, Mark Bonnell and Penka Moncheva and has published in prestigious journals such as The Science of The Total Environment, Chemical Research in Toxicology and Journal of Chemical Information and Modeling.

In The Last Decade

Nadezhda Dimitrova

18 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadezhda Dimitrova Bulgaria 9 252 166 128 126 87 20 570
Steve Gutsell United Kingdom 15 255 1.0× 216 1.3× 160 1.3× 85 0.7× 88 1.0× 33 649
Susanne Glowienke Switzerland 16 221 0.9× 172 1.0× 136 1.1× 61 0.5× 58 0.7× 28 700
Todor Pavlov Bulgaria 15 440 1.7× 205 1.2× 173 1.4× 86 0.7× 115 1.3× 22 804
Agnes L. Karmaus United States 16 275 1.1× 258 1.6× 209 1.6× 69 0.5× 68 0.8× 28 790
Simon Spycher Switzerland 11 128 0.5× 152 0.9× 192 1.5× 160 1.3× 63 0.7× 20 631
Kabiruddin Khan India 11 276 1.1× 176 1.1× 84 0.7× 97 0.8× 46 0.5× 15 435
Jay Russell Niemelä Denmark 10 294 1.2× 186 1.1× 103 0.8× 45 0.4× 66 0.8× 16 631
Glendon D. Sinks United States 15 242 1.0× 241 1.5× 132 1.0× 123 1.0× 56 0.6× 24 589
Claire M. Ellison United Kingdom 11 242 1.0× 158 1.0× 91 0.7× 50 0.4× 55 0.6× 14 469
Inthirany Thillainadarajah United States 8 216 0.9× 346 2.1× 205 1.6× 104 0.8× 88 1.0× 9 794

Countries citing papers authored by Nadezhda Dimitrova

Since Specialization
Citations

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

Fields of papers citing papers by Nadezhda Dimitrova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadezhda Dimitrova

This figure shows the co-authorship network connecting the top 25 collaborators of Nadezhda Dimitrova. A scholar is included among the top collaborators of Nadezhda Dimitrova 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 Nadezhda Dimitrova. Nadezhda Dimitrova 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.
Dimitrova, Nadezhda, et al.. (2025). Operational integration potential of regional uncrewed aircraft systems into the airspace system. CEAS Aeronautical Journal. 16(3). 1037–1059.
2.
Dimitrova, Nadezhda, et al.. (2023). Comparative Analysis of Airspace System Accessibility for Uncrewed Aircraft Systems for Regional Operations. elib (German Aerospace Center). 232. 1–10. 3 indexed citations
3.
Thipphavong, David P., Todd A. Lauderdale, Husni Idris, et al.. (2023). Initial Study of Tailored Trajectory Management for Multi-Vehicle Uncrewed Regional Air Cargo Operations. 1–10.
4.
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
5.
Dimitrova, Nadezhda, et al.. (2022). Preliminary Characterization of Unmanned Air Cargo Routes Using Current Cargo Operations Survey. AIAA AVIATION 2022 Forum. 3 indexed citations
6.
Dimitrova, Nadezhda, et al.. (2021). Criteria for assessing the reliability of the predictions: II. CATALOGIC BOD and BCF base-line models. Computational Toxicology. 17. 100154–100154. 4 indexed citations
7.
Dimitrov, S., et al.. (2019). Mechanistic relationship between biodegradation and bioaccumulation. Practical outcomes. Regulatory Toxicology and Pharmacology. 107. 104411–104411. 5 indexed citations
8.
Dimitrova, Nadezhda, et al.. (2017). CATALOGIC 301C model – validation and improvement. SAR and QSAR in environmental research. 28(6). 511–524. 8 indexed citations
9.
Dimitrov, S., et al.. (2011). Simulation of chemical metabolism for fate and hazard assessment. III. New developments of the bioconcentration factor base-line model. SAR and QSAR in environmental research. 23(1-2). 17–36. 20 indexed citations
10.
Dimitrov, S., et al.. (2011). Simulation of chemical metabolism for fate and hazard assessment. II CATALOGIC simulation of abiotic and microbial degradation. SAR and QSAR in environmental research. 22(7-8). 719–755. 53 indexed citations
11.
Dimitrov, S., et al.. (2010). Development of a biodegradation model for the prediction of metabolites in soil. The Science of The Total Environment. 408(18). 3811–3816. 8 indexed citations
12.
Dimitrova, Nadezhda, S. Dimitrov, Cornelis A.M. van Gestel, et al.. (2010). Elimination kinetic model for organic chemicals in earthworms. The Science of The Total Environment. 408(18). 3787–3793. 10 indexed citations
13.
Mekenyan, Ovanes, et al.. (2006). Metabolic activation of chemicals:in-silicosimulation†. SAR and QSAR in environmental research. 17(1). 107–120. 17 indexed citations
14.
Dimitrov, S., Nadezhda Dimitrova, Thomas F. Parkerton, et al.. (2005). Base-line model for identifying the bioaccumulation potential of chemicals. SAR and QSAR in environmental research. 16(6). 531–554. 100 indexed citations
15.
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
16.
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
17.
18.
Mekenyan, Ovanes, et al.. (2004). Identification of the Structural Requirements for Mutagenicity by Incorporating Molecular Flexibility and Metabolic Activation of Chemicals I:  TA100 Model. Chemical Research in Toxicology. 17(6). 753–766. 48 indexed citations
19.
Moncheva, Penka, et al.. (2002). CHARACTERISTICS OF SOIL ACTINOMYCETES FROM ANTARCTICA. TSpace. 3(1). 3–14. 57 indexed citations
20.
Nenov, Valentin, et al.. (2000). Corrosion processes and control in recirculating cooling water systems in refinery and petrochemical industry. Materials and Corrosion. 51(11). 811–816. 3 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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