V. Curtef

48 total papers · 5.3k total citations
4 papers, 33 citations indexed

About

V. Curtef is a scholar working on Astronomy and Astrophysics, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, V. Curtef has authored 4 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Astronomy and Astrophysics, 2 papers in Signal Processing and 2 papers in Management Science and Operations Research. Recurrent topics in V. Curtef's work include Forecasting Techniques and Applications (2 papers), Time Series Analysis and Forecasting (2 papers) and Stock Market Forecasting Methods (2 papers). V. Curtef is often cited by papers focused on Forecasting Techniques and Applications (2 papers), Time Series Analysis and Forecasting (2 papers) and Stock Market Forecasting Methods (2 papers). V. Curtef collaborates with scholars based in Germany and Romania. V. Curtef's co-authors include André Bauer, Samuel Kounev, Nikolas Herbst, Christian Krupitzer, Veronika Lesch, T. Angelescu, Radu Văcăreanu, D. Haşegan, A. Radu and D. Felea and has published in prestigious journals such as Experimental Astronomy and Technische Universität Dortmund Eldorado (Technische Universität Dortmund).

In The Last Decade

V. Curtef

3 papers receiving 33 citations

Author Peers

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

Author						Papers	Cites
V. Curtef	11	10	7	7	6	4	33
Christophe Lecoutre	15 1.4×	6 0.6×	4 0.6×	12 1.7×	24 4.0×	4	38
SV Silvia Nedea	4 0.4×	3 0.3×	7 1.0×	11 1.6×	6 1.0×	4	40
Khoa Trinh	6 0.5×	4 0.4×	2 0.3×	6 0.9×	10 1.7×	6	41
Olivier Sprangers	7 0.6×	13 1.3×	8 1.1×	6 0.9×	2 0.3×	4	30
Ramez Elmasri	6 0.5×	4 0.4×	5 0.7×	9 1.3×	9 1.5×	7	26
Luboš Krčál	8 0.7×	3 0.3×	5 0.7×	10 1.4×	9 1.5×	5	22
Ralph Becket	5 0.5×	5 0.5×	4 0.6×	21 3.0×	17 2.8×	7	38
Doug Strain	10 0.9×	4 0.4×	8 1.1×	31 4.4×	15 2.5×	3	45
Fenno F. Heath	5 0.5×	9 0.9×	32 4.6×	21 3.0×	10 1.7×	3	48
J. S. Huang	4 0.4×	6 0.6×	3 0.4×	11 1.6×	3 0.5×	5	52

Countries citing papers authored by V. Curtef

Since Specialization

Citations

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

Fields of papers citing papers by V. Curtef

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Curtef

This figure shows the co-authorship network connecting the top 25 collaborators of V. Curtef. A scholar is included among the top collaborators of V. Curtef 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 V. Curtef. V. Curtef 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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