Marinos Kavouras

99 total papers · 979 total citations
32 papers, 545 citations indexed

About

Marinos Kavouras is a scholar working on Geography, Planning and Development, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Marinos Kavouras has authored 32 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Geography, Planning and Development, 12 papers in Signal Processing and 12 papers in Artificial Intelligence. Recurrent topics in Marinos Kavouras's work include Geographic Information Systems Studies (16 papers), Semantic Web and Ontologies (12 papers) and Data Management and Algorithms (12 papers). Marinos Kavouras is often cited by papers focused on Geographic Information Systems Studies (16 papers), Semantic Web and Ontologies (12 papers) and Data Management and Algorithms (12 papers). Marinos Kavouras collaborates with scholars based in Greece, United States and Canada. Marinos Kavouras's co-authors include Margarita Kokla, Giorgos Mountrakis, George Grekousis, Adam Chrzanowski, Katerina Pastra, Fotis Liarokapis, Michalis Zervakis, Poulicos Prastacos, Timos Sellis and Themistoklis Kontos and has published in prestigious journals such as International Journal of Remote Sensing, Computers & Geosciences and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Marinos Kavouras

27 papers receiving 498 citations

Author Peers

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

Author						Papers	Cites
Marinos Kavouras	213	212	180	155	132	32	545
Ola Ahlqvist	197 0.9×	120 0.6×	137 0.8×	173 1.1×	114 0.9×	29	550
Jacinto Estima	216 1.0×	58 0.3×	84 0.5×	160 1.0×	69 0.5×	20	514
Yongyao Jiang	91 0.4×	86 0.4×	113 0.6×	80 0.5×	49 0.4×	27	449
Vincent Β. Robinson	192 0.9×	63 0.3×	177 1.0×	118 0.8×	51 0.4×	33	504
Jibo Xie	75 0.4×	92 0.4×	90 0.5×	103 0.7×	36 0.3×	31	470
Martien Molenaar	167 0.8×	58 0.3×	117 0.7×	159 1.0×	124 0.9×	21	510
Denisa Rodila	87 0.4×	95 0.4×	38 0.2×	160 1.0×	126 1.0×	32	495
Xueying Zhang	144 0.7×	180 0.8×	66 0.4×	35 0.2×	48 0.4×	30	452
Alaitz Zabala	67 0.3×	68 0.3×	44 0.2×	134 0.9×	104 0.8×	43	453
Venkatesh Raghavan	77 0.4×	74 0.3×	79 0.4×	113 0.7×	58 0.4×	54	596

Countries citing papers authored by Marinos Kavouras

Since Specialization

Citations

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

Fields of papers citing papers by Marinos Kavouras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marinos Kavouras

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