D. Tsichritzis

75 total papers · 1.1k total citations
46 papers, 618 citations indexed

About

D. Tsichritzis is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, D. Tsichritzis has authored 46 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in D. Tsichritzis's work include Advanced Database Systems and Queries (17 papers), Data Management and Algorithms (9 papers) and Distributed systems and fault tolerance (6 papers). D. Tsichritzis is often cited by papers focused on Advanced Database Systems and Queries (17 papers), Data Management and Algorithms (9 papers) and Distributed systems and fault tolerance (6 papers). D. Tsichritzis collaborates with scholars based in Canada, Switzerland and United States. D. Tsichritzis's co-authors include Frederick H. Lochovsky, S. Gibbs, Simon Gibbs, Oscar Nierstrasz, Eugene Fiume, P.A. Bernstein, John Mylopoulos, S. A. Schuster, Christian Breiteneder and Dimitri Konstantas and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and IEEE Transactions on Communications.

In The Last Decade

D. Tsichritzis

40 papers receiving 488 citations

Author Peers

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

Author						Papers	Cites
D. Tsichritzis	424	309	176	131	66	46	618
Edward Sciore	496 1.2×	472 1.5×	281 1.6×	206 1.6×	55 0.8×	45	679
Qun Chen	183 0.4×	343 1.1×	149 0.8×	129 1.0×	50 0.8×	68	608
Fred J. Maryanski	381 0.9×	294 1.0×	159 0.9×	153 1.2×	58 0.9×	44	518
Ioana Stanoi	258 0.6×	197 0.6×	278 1.6×	153 1.2×	58 0.9×	29	641
Leo Mark	469 1.1×	332 1.1×	296 1.7×	179 1.4×	57 0.9×	52	659
Johann-Christoph Freytag	384 0.9×	274 0.9×	154 0.9×	311 2.4×	46 0.7×	40	696
Jaroslav Pokorný	395 0.9×	266 0.9×	189 1.1×	292 2.2×	53 0.8×	84	698
X. Sean Wang	363 0.9×	299 1.0×	379 2.2×	269 2.1×	63 1.0×	29	677
Peter C. Lockemann	397 0.9×	339 1.1×	193 1.1×	198 1.5×	56 0.8×	75	644
Barbara Blaustein	437 1.0×	220 0.7×	93 0.5×	178 1.4×	36 0.5×	37	547

Countries citing papers authored by D. Tsichritzis

Since Specialization

Citations

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

Fields of papers citing papers by D. Tsichritzis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Tsichritzis

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