Spyridon Chavlis

43 total papers · 1.2k total citations
15 papers, 473 citations indexed

About

Spyridon Chavlis is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Spyridon Chavlis has authored 15 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Spyridon Chavlis's work include Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (6 papers) and Memory and Neural Mechanisms (6 papers). Spyridon Chavlis is often cited by papers focused on Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (6 papers) and Memory and Neural Mechanisms (6 papers). Spyridon Chavlis collaborates with scholars based in Greece, United States and Bulgaria. Spyridon Chavlis's co-authors include Panayiota Poirazi, Panagiotis C. Petrantonakis, Attila Losonczy, Max Ladow, Gergely F. Turi, Nathan Danielson, Wenke Li, Andres Grosmark, James B. Priestley and Justin K. O’Hare and has published in prestigious journals such as Nature Communications, Neuron and Current Opinion in Neurobiology.

In The Last Decade

Spyridon Chavlis

14 papers receiving 467 citations

Author Peers

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

Author						Papers	Cites
Spyridon Chavlis	352	340	68	61	59	15	473
George Kastellakis	374 1.1×	372 1.1×	63 0.9×	105 1.7×	77 1.3×	13	522
Megha Sehgal	310 0.9×	230 0.7×	86 1.3×	41 0.7×	102 1.7×	10	490
Kishore V. Kuchibhotla	299 0.8×	348 1.0×	39 0.6×	42 0.7×	108 1.8×	12	504
Jeehyun Kwag	318 0.9×	311 0.9×	35 0.5×	68 1.1×	56 0.9×	24	434
William Mau	362 1.0×	440 1.3×	65 1.0×	21 0.3×	33 0.6×	12	509
Junyi Luo	309 0.9×	260 0.8×	50 0.7×	20 0.3×	92 1.6×	13	437
Mario Dipoppa	238 0.7×	358 1.1×	30 0.4×	57 0.9×	115 1.9×	14	546
Cian O’Donnell	304 0.9×	321 0.9×	18 0.3×	56 0.9×	119 2.0×	23	478
Adam C. Frank	235 0.7×	226 0.7×	62 0.9×	26 0.4×	126 2.1×	13	443
Bruce Harland	217 0.6×	259 0.8×	38 0.6×	19 0.3×	40 0.7×	26	411

Countries citing papers authored by Spyridon Chavlis

Since Specialization

Citations

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

Fields of papers citing papers by Spyridon Chavlis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Spyridon Chavlis

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