T. Веков

164 total papers · 471 total citations
39 papers, 341 citations indexed

About

T. Веков is a scholar working on Economics and Econometrics, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, T. Веков has authored 39 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Molecular Biology. Recurrent topics in T. Веков's work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Pharmaceutical Economics and Policy (5 papers) and COVID-19 Clinical Research Studies (4 papers). T. Веков is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (8 papers), Pharmaceutical Economics and Policy (5 papers) and COVID-19 Clinical Research Studies (4 papers). T. Веков collaborates with scholars based in Bulgaria, United States and Poland. T. Веков's co-authors include Katya Uzunova, Krassimir Kalinov, S. Djambazov, Dominik Golicki, Plamen Petkov, Jan Sitar, Ladislav Groch, Iana Simova, Ota Hlinomaz and Radoslava Mitova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomedicine & Pharmacotherapy and Value in Health.

In The Last Decade

T. Веков

27 papers receiving 333 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T. Веков 104 75 68 52 44 39 341
Han Eol Jeong 59 0.6× 78 1.0× 66 1.0× 53 1.0× 56 1.3× 56 370
Rajakrishnan Vijayakrishnan 70 0.7× 40 0.5× 55 0.8× 55 1.1× 45 1.0× 21 302
Pauline Bosco‐Lévy 55 0.5× 19 0.3× 72 1.1× 37 0.7× 30 0.7× 32 394
Xiaokang Ji 54 0.5× 51 0.7× 18 0.3× 95 1.8× 57 1.3× 28 381
Ahmad R. Al‐Qudimat 49 0.5× 56 0.7× 62 0.9× 29 0.6× 26 0.6× 48 368
Rima Shah 60 0.6× 44 0.6× 25 0.4× 28 0.5× 47 1.1× 51 376
Palanisamy Sivanandy 55 0.5× 45 0.6× 35 0.5× 53 1.0× 16 0.4× 37 302
Peng Men 70 0.7× 109 1.5× 72 1.1× 53 1.0× 54 1.2× 29 360
Letícia Paula Leonart 38 0.4× 75 1.0× 32 0.5× 53 1.0× 36 0.8× 30 363
Maria Giuseppa Sullo 42 0.4× 104 1.4× 33 0.5× 29 0.6× 91 2.1× 22 394

Countries citing papers authored by T. Веков

Since Specialization
Citations

This map shows the geographic impact of T. Веков'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 T. Веков with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Веков more than expected).

Fields of papers citing papers by T. Веков

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Веков

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

All Works

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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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