Vladimir Creţu

93 total papers · 533 total citations
71 papers, 286 citations indexed

About

Vladimir Creţu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vladimir Creţu has authored 71 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 22 papers in Hardware and Architecture and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vladimir Creţu's work include Real-Time Systems Scheduling (16 papers), Parallel Computing and Optimization Techniques (15 papers) and Embedded Systems Design Techniques (14 papers). Vladimir Creţu is often cited by papers focused on Real-Time Systems Scheduling (16 papers), Parallel Computing and Optimization Techniques (15 papers) and Embedded Systems Design Techniques (14 papers). Vladimir Creţu collaborates with scholars based in Romania, Canada and United States. Vladimir Creţu's co-authors include Mihai V. Micea, Voicu Groza, Carmen Holotescu, Gabriela Grosseck, Antoanela Naaji, Emil M. Petriu, Benedek Nagy, Wolfgang Schreiner, Bogdan Ciubotaru and Marius Marcu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Instrumentation and Measurement and IEEE Industrial Electronics Magazine.

In The Last Decade

Vladimir Creţu

61 papers receiving 260 citations

Author Peers

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

Author						Papers	Cites
Vladimir Creţu	94	75	51	46	43	71	286
Jacques Fayolle	52 0.6×	57 0.8×	79 1.5×	32 0.7×	35 0.8×	35	302
Francisco Moya	143 1.5×	79 1.1×	83 1.6×	43 0.9×	9 0.2×	48	323
Miroslav Švéda	161 1.7×	82 1.1×	61 1.2×	40 0.9×	7 0.2×	76	264
Ralph Lange	96 1.0×	41 0.5×	56 1.1×	47 1.0×	6 0.1×	39	328
Jae C. Oh	81 0.9×	35 0.5×	31 0.6×	61 1.3×	10 0.2×	52	228
Peter Schartner	105 1.1×	19 0.3×	38 0.7×	158 3.4×	11 0.3×	38	331
Ashok Singh Sairam	163 1.7×	26 0.3×	60 1.2×	82 1.8×	22 0.5×	51	250
Fan Wu	91 1.0×	38 0.5×	26 0.5×	85 1.8×	4 0.1×	34	288
Guillermo Francia	58 0.6×	38 0.5×	30 0.6×	46 1.0×	17 0.4×	45	242
Željko Stojanov	109 1.2×	13 0.2×	35 0.7×	23 0.5×	24 0.6×	61	250

Countries citing papers authored by Vladimir Creţu

Since Specialization

Citations

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

Fields of papers citing papers by Vladimir Creţu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Creţu

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