Enes Göktaş
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Computer Networks and Communications top 5%
- Materials Chemistry
- Information Systems top 5%
- Co-authors
- Herbert BosΗλίας ΑθανασόπουλοςGeorgios PortokalidisCristiano GiuffridaVictor van der VeenThorsten HolzDennis AndriesseMichalis Polychronakis
- Topics
- Advanced Malware Detection Techniques (10 papers)Security and Verification in Computing (10 papers)Network Security and Intrusion Detection (6 papers)
- Journals
- VU Research PortalData Archiving and Networked Services (DANS)Bristol Research (University of Bristol)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Enes Göktaş
10 papers receiving 642 citations
Peers
Comparison fields: 5 of 20
- Artificial Intelligence 639
- Signal Processing 526
- Computer Networks and Communications 230
- Materials Chemistry 143
- Information Systems 141
Countries citing papers authored by Enes Göktaş
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 26 | |
| 3 | 23 | |
| 4 | 8 | |
| 5 | Undermining Information Hiding (and What to Do about It) | 42 |
| 6 | 119 | |
| 7 | 127 | |
| 8 | 22 | |
| 9 | Size does matter: why using gadget-chain length to prevent code-reuse attacks is hard | 80 |
| 10 | 224 |
About Enes Göktaş
Enes Göktaş is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 10 papers that have together received 673 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (10 papers), Security and Verification in Computing (10 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Signal Processing (526 citations), Artificial Intelligence (639 citations) and Hardware and Architecture (133 citations). Enes Göktaş has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Herbert Bos, Ηλίας Αθανασόπουλος, Georgios Portokalidis, Cristiano Giuffrida, Victor van der Veen, Thorsten Holz, Dennis Andriesse, Michalis Polychronakis, Asia Slowinska and Ben Gras. Their work appears in journals such as VU Research Portal, Data Archiving and Networked Services (DANS) and Bristol Research (University of Bristol).
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.