Enes Göktaş

12 total papers · 1.0k total citations
10 papers, 666 citations indexed

About

Enes Göktaş is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Enes Göktaş has authored 10 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 10 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Enes Göktaş's work include Security and Verification in Computing (10 papers), Advanced Malware Detection Techniques (10 papers) and Network Security and Intrusion Detection (6 papers). Enes Göktaş is often cited by papers focused on Security and Verification in Computing (10 papers), Advanced Malware Detection Techniques (10 papers) and Network Security and Intrusion Detection (6 papers). Enes Göktaş collaborates with scholars based in Netherlands, United States and Germany. Enes Göktaş's co-authors include Herbert Bos, Ηλίας Αθανασόπουλος, Georgios Portokalidis, Cristiano Giuffrida, Victor van der Veen, Dennis Andriesse, Michalis Polychronakis, Ben Gras, Asia Slowinska and Thorsten Holz and has published in prestigious journals such as Bristol Research (University of Bristol), Data Archiving and Networked Services (DANS) and Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam).

In The Last Decade

Enes Göktaş

10 papers receiving 635 citations

Author Peers

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

Author						Papers	Cites
Enes Göktaş	634	522	227	143	141	10	666
Andrei Homescu	591 0.9×	498 1.0×	255 1.1×	84 0.6×	184 1.3×	14	683
Kevin Z. Snow	665 1.0×	609 1.2×	326 1.4×	108 0.8×	225 1.6×	19	781
Andrea Bittau	553 0.9×	383 0.7×	446 2.0×	63 0.4×	248 1.8×	10	790
Vasilis Pappas	529 0.8×	356 0.7×	192 0.8×	70 0.5×	157 1.1×	8	571
Ralf Hund	564 0.9×	503 1.0×	301 1.3×	58 0.4×	194 1.4×	13	685
Dennis Andriesse	463 0.7×	409 0.8×	298 1.3×	53 0.4×	181 1.3×	15	609
Stefan Nürnberger	513 0.8×	386 0.7×	183 0.8×	83 0.6×	242 1.7×	17	593
Byoungyoung Lee	552 0.9×	482 0.9×	247 1.1×	88 0.6×	279 2.0×	12	723
Dmitry Evtyushkin	685 1.1×	452 0.9×	167 0.7×	80 0.6×	116 0.8×	15	745
Werner Haas	496 0.8×	256 0.5×	182 0.8×	44 0.3×	167 1.2×	14	666

Countries citing papers authored by Enes Göktaş

Since Specialization

Citations

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

Fields of papers citing papers by Enes Göktaş

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enes Göktaş

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