E. Celebi

12.3k total citations
2 papers, 55 citations indexed

About

E. Celebi is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, E. Celebi has authored 2 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 1 paper in Computer Networks and Communications and 1 paper in Artificial Intelligence. Recurrent topics in E. Celebi's work include Cloud Computing and Resource Management (1 paper), Coding theory and cryptography (1 paper) and Cryptography and Data Security (1 paper). E. Celebi is often cited by papers focused on Cloud Computing and Resource Management (1 paper), Coding theory and cryptography (1 paper) and Cryptography and Data Security (1 paper). E. Celebi collaborates with scholars based in United States. E. Celebi's co-authors include Ali José Mashtizadeh, Tal Garfinkel and Min Cai and has published in prestigious journals such as USENIX Annual Technical Conference and Security and Management.

In The Last Decade

E. Celebi

1 paper receiving 52 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. Celebi United States 1 54 48 3 2 2 2 55
David Margery France 2 34 0.6× 33 0.7× 5 1.7× 3 1.5× 3 1.5× 3 40
G. Merino Spain 4 30 0.6× 19 0.4× 2 0.7× 2 1.0× 2 1.0× 13 39
Haeng Jin Jang South Korea 3 46 0.9× 45 0.9× 7 2.3× 4 2.0× 3 1.5× 3 54
V. Fernandez Albor Spain 3 26 0.5× 22 0.5× 1 0.5× 2 1.0× 5 28
Roberto Peon Israel 2 25 0.5× 17 0.4× 4 1.3× 2 1.0× 7 3.5× 2 28
Dallal Belabed France 3 31 0.6× 22 0.5× 6 2.0× 1 0.5× 6 3.0× 6 31
Ignacio Cano United States 4 41 0.8× 33 0.7× 3 1.0× 2 1.0× 14 7.0× 5 56
J. Martyniak United Kingdom 5 38 0.7× 21 0.4× 2 0.7× 8 4.0× 5 2.5× 12 46
Flavien Quesnel France 2 18 0.3× 18 0.4× 2 0.7× 1 0.5× 1 0.5× 3 19
Youngchoon Woo South Korea 2 19 0.4× 19 0.4× 1 0.3× 2 1.0× 2 21

Countries citing papers authored by E. Celebi

Since Specialization
Citations

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

Fields of papers citing papers by E. Celebi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Celebi

This figure shows the co-authorship network connecting the top 25 collaborators of E. Celebi. A scholar is included among the top collaborators of E. Celebi 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 E. Celebi. E. Celebi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Mashtizadeh, Ali José, E. Celebi, Tal Garfinkel, & Min Cai. (2011). The design and evolution of live storage migration in VMware ESX. USENIX Annual Technical Conference. 14–14. 55 indexed citations
2.
Celebi, E., et al.. (2008). Implementations of Montgomery Multiplication Algorithms in Machine Languages.. Security and Management. 491–497.

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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