George Perrakis

32 total papers · 647 total citations
16 papers, 409 citations indexed

About

George Perrakis is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Civil and Structural Engineering. According to data from OpenAlex, George Perrakis has authored 16 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Atomic and Molecular Physics, and Optics and 5 papers in Civil and Structural Engineering. Recurrent topics in George Perrakis's work include Perovskite Materials and Applications (5 papers), Thermal Radiation and Cooling Technologies (5 papers) and Laser Material Processing Techniques (3 papers). George Perrakis is often cited by papers focused on Perovskite Materials and Applications (5 papers), Thermal Radiation and Cooling Technologies (5 papers) and Laser Material Processing Techniques (3 papers). George Perrakis collaborates with scholars based in Greece, Qatar and Switzerland. George Perrakis's co-authors include George Kenanakis, Maria Kafesaki, E. N. Economou, Emmanuel Stratakis, Anna C. Tasolamprou, Stelios Tzortzakis, George D. Tsibidis, Evangelos Skoulas, Alexandros Mimidis and Antonis Papadopoulos and has published in prestigious journals such as Advanced Materials, Scientific Reports and Optics Express.

In The Last Decade

George Perrakis

16 papers receiving 397 citations

Author Peers

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

Author						Papers	Cites
George Perrakis	162	118	110	108	85	16	409
Kristin M. Charipar	161 1.0×	71 0.6×	51 0.5×	150 1.4×	69 0.8×	24	445
Kensuke Uemura	164 1.0×	16 0.1×	48 0.4×	125 1.2×	97 1.1×	19	367
E. Ando	222 1.4×	36 0.3×	42 0.4×	70 0.6×	22 0.3×	19	437
Ravindra Kumar Yadav	56 0.3×	38 0.3×	23 0.2×	181 1.7×	90 1.1×	12	447
Iryna Khodasevych	126 0.8×	109 0.9×	19 0.2×	161 1.5×	54 0.6×	19	410
Lixiang Yang	76 0.5×	63 0.5×	30 0.3×	65 0.6×	11 0.1×	19	421
Seungtae Oh	121 0.7×	22 0.2×	76 0.7×	89 0.8×	11 0.1×	25	374
Bofeng Shang	119 0.7×	67 0.6×	23 0.2×	50 0.5×	24 0.3×	22	486
Junchang Guo	123 0.8×	63 0.5×	27 0.2×	178 1.6×	9 0.1×	16	441
Ruikang Wu	91 0.6×	39 0.3×	81 0.7×	69 0.6×	18 0.2×	25	426

Countries citing papers authored by George Perrakis

Since Specialization

Citations

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

Fields of papers citing papers by George Perrakis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Perrakis

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