George Kokkinakis

91 total papers · 1.3k total citations
54 papers, 800 citations indexed

About

George Kokkinakis is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, George Kokkinakis has authored 54 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 21 papers in Signal Processing and 7 papers in Computational Mechanics. Recurrent topics in George Kokkinakis's work include Natural Language Processing Techniques (20 papers), Speech and Audio Processing (18 papers) and Speech Recognition and Synthesis (18 papers). George Kokkinakis is often cited by papers focused on Natural Language Processing Techniques (20 papers), Speech and Audio Processing (18 papers) and Speech Recognition and Synthesis (18 papers). George Kokkinakis collaborates with scholars based in Greece and Ireland. George Kokkinakis's co-authors include Nikos Fakotakis, Efstathios Stamatatos, Todor Ganchev, Evangelos Dermatas, Ilyas Potamitis, Kallirroi Georgila, John Mourjopoulos, Manolis Μaragoudakis, Katia Lida Kermanidis and Michael D. Logothetis and has published in prestigious journals such as Computational Linguistics, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Speech Communication.

In The Last Decade

George Kokkinakis

51 papers receiving 676 citations

Author Peers

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

Author						Papers	Cites
George Kokkinakis	569	284	100	91	41	54	800
Toshiyuki Takezawa	861 1.5×	319 1.1×	49 0.5×	72 0.8×	23 0.6×	78	1.1k
Hadi Veisi	515 0.9×	194 0.7×	111 1.1×	79 0.9×	20 0.5×	94	828
Ian McGraw	771 1.4×	387 1.4×	48 0.5×	91 1.0×	22 0.5×	33	961
Jun Ogata	418 0.7×	432 1.5×	54 0.5×	324 3.6×	65 1.6×	62	946
Mikio Nakano	631 1.1×	132 0.5×	34 0.3×	143 1.6×	87 2.1×	119	957
Jitendra Ajmera	597 1.0×	601 2.1×	43 0.4×	185 2.0×	21 0.5×	32	826
Ahsan Adeel	438 0.8×	228 0.8×	71 0.7×	112 1.2×	54 1.3×	35	798
John Dines	756 1.3×	518 1.8×	25 0.3×	66 0.7×	20 0.5×	58	904
Deepa Gupta	321 0.6×	92 0.3×	89 0.9×	115 1.3×	21 0.5×	99	902
Joseph Mariani	746 1.3×	147 0.5×	74 0.7×	93 1.0×	33 0.8×	55	982

Countries citing papers authored by George Kokkinakis

Since Specialization

Citations

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

Fields of papers citing papers by George Kokkinakis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Kokkinakis

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