Vedrin Jeliazkov

894 total citations
14 papers, 340 citations indexed

About

Vedrin Jeliazkov is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Vedrin Jeliazkov has authored 14 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 3 papers in Computer Networks and Communications and 3 papers in Molecular Biology. Recurrent topics in Vedrin Jeliazkov's work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Vedrin Jeliazkov is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Vedrin Jeliazkov collaborates with scholars based in Bulgaria, United Kingdom and Sweden. Vedrin Jeliazkov's co-authors include Nina Jeliazkova, Nikolay Kochev, Hongming Chen, Ivan Georgiev, Lars Carlsson, Thomas J. Ashby, Ola Engkvist, Jiangming Sun, Vladimir Chupakhin and Jörg K. Wegner and has published in prestigious journals such as Nanomaterials, Current Topics in Medicinal Chemistry and Journal of Cheminformatics.

In The Last Decade

Vedrin Jeliazkov

12 papers receiving 329 citations

Peers

Vedrin Jeliazkov

CTM

MB

MC

BE

IS

Samuel Lampa Sweden

Nikolay Kochev Bulgaria

Sam Adams United Kingdom

Vishnu H Nair Switzerland

Anil Kumar Pandey India

Zhengkai Tu United States

Tara Zepel Canada

Michael Maser United States

Ian Watson United States

Stephen Boyer United States

Samuel Lampa Sweden

Vedrin Jeliazkov

164 ×0.8

CTM

202 ×1.3

MB

66 ×0.6

MC

15 ×0.4

BE

45 ×1.3

IS

Citations per year, relative to Vedrin Jeliazkov Vedrin Jeliazkov (= 1×) peers Samuel Lampa

Countries citing papers authored by Vedrin Jeliazkov

Since Specialization

Citations

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

Fields of papers citing papers by Vedrin Jeliazkov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vedrin Jeliazkov

This figure shows the co-authorship network connecting the top 25 collaborators of Vedrin Jeliazkov. A scholar is included among the top collaborators of Vedrin Jeliazkov 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 Vedrin Jeliazkov. Vedrin Jeliazkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Tenev, Stoyan, et al.. (2022). UV Radiation Monitoring Probe. 1–2.

2.

Tenev, Stoyan, et al.. (2020). METER.AC: Live Open Access Atmospheric Monitoring Data for Bulgaria with High Spatiotemporal Resolution. Data. 5(2). 36–36. 6 indexed citations

3.

Tenev, Stoyan, et al.. (2020). Radon Concentration Gauge. 1–3. 2 indexed citations

4.

Kochev, Nikolay, et al.. (2020). Your Spreadsheets Can Be FAIR: A Tool and FAIRification Workflow for the eNanoMapper Database. Nanomaterials. 10(10). 1908–1908. 22 indexed citations

5.

Sun, Jiangming, Nina Jeliazkova, Vladimir Chupakhin, et al.. (2017). ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. Journal of Cheminformatics. 9(1). 17–17. 133 indexed citations

6.

Jeliazkova, Nina, Philip Doganis, Bengt Fadeel, et al.. (2015). The eNanoMapper database for nanomaterial safety information. Beilstein Journal of Nanotechnology. 6. 1609–1634. 79 indexed citations

7.

Jeliazkov, Vedrin, et al.. (2014). Summary of the Spring 2014 NSC Database Survey. Figshare. 3 indexed citations

8.

Jeliazkova, Nina, Philip Doganis, Bengt Fadeel, et al.. (2014). The first eNanoMapper prototype: A substance database to support safe-by-design. Research Publications (Maastricht University). 311. 1–9. 7 indexed citations

9.

Kohonen, Pekka, Emilio Benfenati, Rebecca Ceder, et al.. (2013). The ToxBank Data Warehouse: Supporting the Replacement of In Vivo Repeated Dose Systemic Toxicity Testing. Molecular Informatics. 32(1). 47–63. 24 indexed citations

10.

Jeliazkova, Nina & Vedrin Jeliazkov. (2012). Chemical Landscape Analysis with the Opentox Framework. Current Topics in Medicinal Chemistry. 12(18). 1987–2001. 1 indexed citations

11.

Jeliazkova, Nina & Vedrin Jeliazkov. (2011). AMBIT RESTful web services: an implementation of the OpenTox application programming interface. Journal of Cheminformatics. 3(1). 18–18. 46 indexed citations

12.

Jeliazkov, Vedrin, et al.. (2007). Seamless Integration of Network Management Tools in a Multi-Domain Environment. 3826. 745–748.

13.

Jeliazkova, Nina, et al.. (2006). UPerfsonarUI - a Standalone Graphical User Interface for Querying perfSONAR Services. 77–81. 5 indexed citations

14.

Jeliazkov, Vedrin, et al.. (2006). Complementary Visualization of perfSONAR Network Performance Measurements. 3826. 6–6. 12 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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