Nikos Fazakis

36 total papers · 537 total citations
25 papers, 310 citations indexed

About

Nikos Fazakis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Nikos Fazakis has authored 25 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Health Information Management. Recurrent topics in Nikos Fazakis's work include Machine Learning and Data Classification (16 papers), Imbalanced Data Classification Techniques (10 papers) and Machine Learning and Algorithms (5 papers). Nikos Fazakis is often cited by papers focused on Machine Learning and Data Classification (16 papers), Imbalanced Data Classification Techniques (10 papers) and Machine Learning and Algorithms (5 papers). Nikos Fazakis collaborates with scholars based in Greece and United Kingdom. Nikos Fazakis's co-authors include Sotiris Kotsiantis, Stamatis Karlos, Kyriakos Sgarbas, Ηλίας Δρίτσας, Nikos Fakotakis, Otilia Kocsis, Κωνσταντίνος Μουστάκας, Georgios Kostopoulos, Vasileios G. Kanas and Christos K. Aridas and has published in prestigious journals such as IEEE Access, Pattern Recognition Letters and Computational Intelligence and Neuroscience.

In The Last Decade

Nikos Fazakis

24 papers receiving 301 citations

Author Peers

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

Author						Papers	Cites
Nikos Fazakis	189	88	33	33	30	25	310
N. M. Saravana Kumar	135 0.7×	101 1.1×	67 2.0×	22 0.7×	21 0.7×	27	302
Neeraj Bhargava	131 0.7×	49 0.6×	78 2.4×	26 0.8×	59 2.0×	24	362
Avdhesh Gupta	75 0.4×	26 0.3×	38 1.2×	11 0.3×	12 0.4×	25	323
Miloš Jovanović	125 0.7×	31 0.4×	65 2.0×	69 2.1×	9 0.3×	22	267
Sudhakar Tripathi	101 0.5×	68 0.8×	45 1.4×	7 0.2×	29 1.0×	34	339
Terence A. Etchells	139 0.7×	23 0.3×	26 0.8×	18 0.5×	22 0.7×	23	325
Prasanalakshmi Balaji	108 0.6×	30 0.3×	18 0.5×	28 0.8×	32 1.1×	42	252
Bilal Khan	122 0.6×	112 1.3×	83 2.5×	3 0.1×	21 0.7×	31	338
Marion Blount	54 0.3×	43 0.5×	48 1.5×	12 0.4×	79 2.6×	17	298
Giridhar Reddy Bojja	107 0.6×	24 0.3×	54 1.6×	6 0.2×	49 1.6×	21	287

Countries citing papers authored by Nikos Fazakis

Since Specialization

Citations

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

Fields of papers citing papers by Nikos Fazakis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikos Fazakis

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