George Valkanas

31 total papers · 416 total citations
22 papers, 253 citations indexed

About

George Valkanas is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, George Valkanas has authored 22 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 10 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in George Valkanas's work include Complex Network Analysis Techniques (7 papers), Data Management and Algorithms (6 papers) and Data Mining Algorithms and Applications (4 papers). George Valkanas is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Data Management and Algorithms (6 papers) and Data Mining Algorithms and Applications (4 papers). George Valkanas collaborates with scholars based in Greece, United States and United Kingdom. George Valkanas's co-authors include Dimitrios Gunopulos, Ioannis Arapakis, Mounia Lalmas, Theodoros Lappas, Apostolos N. Papadopoulos, Eleftherios Tiakas, Yannis Manolopoulos, Ioannis Katakis, Gennady Andrienko and Vana Kalogeraki and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Database Systems and Journal of Systems and Software.

In The Last Decade

George Valkanas

22 papers receiving 240 citations

Author Peers

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

Author						Papers	Cites
George Valkanas	94	84	83	56	47	22	253
Nishith Pathak	189 2.0×	97 1.2×	90 1.1×	49 0.9×	18 0.4×	16	307
Kouzou Ohara	204 2.2×	69 0.8×	67 0.8×	57 1.0×	42 0.9×	39	321
Sergey Chernov	42 0.4×	112 1.3×	133 1.6×	81 1.4×	26 0.6×	18	293
Jiajia Huang	97 1.0×	145 1.7×	116 1.4×	40 0.7×	12 0.3×	15	306
Edward Benson	53 0.6×	159 1.9×	149 1.8×	87 1.6×	25 0.5×	16	317
Suhas Ranganath	35 0.4×	128 1.5×	188 2.3×	45 0.8×	16 0.3×	19	302
Xuning Tang	117 1.2×	123 1.5×	103 1.2×	41 0.7×	11 0.2×	31	326
Demetris Antoniades	73 0.8×	110 1.3×	93 1.1×	109 1.9×	44 0.9×	15	259
Mouna Kacimi	50 0.5×	111 1.3×	171 2.1×	95 1.7×	50 1.1×	27	292
Serena Nicolazzo	29 0.3×	112 1.3×	126 1.5×	77 1.4×	20 0.4×	29	277

Countries citing papers authored by George Valkanas

Since Specialization

Citations

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

Fields of papers citing papers by George Valkanas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Valkanas

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