G. Siganos

9 total papers · 752 total citations
7 papers, 490 citations indexed

About

G. Siganos is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, G. Siganos has authored 7 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 3 papers in Statistical and Nonlinear Physics and 2 papers in Artificial Intelligence. Recurrent topics in G. Siganos's work include Network Traffic and Congestion Control (6 papers), Peer-to-Peer Network Technologies (3 papers) and Complex Network Analysis Techniques (3 papers). G. Siganos is often cited by papers focused on Network Traffic and Congestion Control (6 papers), Peer-to-Peer Network Technologies (3 papers) and Complex Network Analysis Techniques (3 papers). G. Siganos collaborates with scholars based in United States and Spain. G. Siganos's co-authors include Michalis Faloutsos, Christos Faloutsos, C. Palmer, Yihua He, Srikanth V. Krishnamurthy and Stefano Lonardi and has published in prestigious journals such as IEEE/ACM Transactions on Networking and PubMed.

In The Last Decade

G. Siganos

7 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
G. Siganos	352	205	120	52	50	7	490
Lun Li	381 1.1×	160 0.8×	75 0.6×	23 0.4×	95 1.9×	17	526
Thomas Schank	138 0.4×	203 1.0×	142 1.2×	22 0.4×	8 0.2×	9	486
Mike Fisk	389 1.1×	56 0.3×	261 2.2×	77 1.5×	55 1.1×	17	509
Bill Cheswick	330 0.9×	55 0.3×	163 1.4×	72 1.4×	45 0.9×	10	418
Curt Jones	239 0.7×	60 0.3×	70 0.6×	126 2.4×	240 4.8×	5	438
S. Rao	288 0.8×	61 0.3×	52 0.4×	134 2.6×	14 0.3×	16	449
Karl Jiang	127 0.4×	163 0.8×	222 1.9×	46 0.9×	3 0.1×	10	486
Derek Leonard	500 1.4×	76 0.4×	134 1.1×	16 0.3×	63 1.3×	19	545
Chinmay Karande	214 0.6×	51 0.2×	105 0.9×	7 0.1×	16 0.3×	11	421
Romas Aleliunas	218 0.6×	54 0.3×	145 1.2×	18 0.3×	40 0.8×	3	467

Countries citing papers authored by G. Siganos

Since Specialization

Citations

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

Fields of papers citing papers by G. Siganos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Siganos

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