Héctor Marco-Gisbert

1.1k total citations · 2 hit papers
28 papers, 693 citations indexed

About

Héctor Marco-Gisbert is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Héctor Marco-Gisbert has authored 28 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 15 papers in Signal Processing and 15 papers in Artificial Intelligence. Recurrent topics in Héctor Marco-Gisbert's work include Advanced Malware Detection Techniques (13 papers), Security and Verification in Computing (11 papers) and Network Security and Intrusion Detection (8 papers). Héctor Marco-Gisbert is often cited by papers focused on Advanced Malware Detection Techniques (13 papers), Security and Verification in Computing (11 papers) and Network Security and Intrusion Detection (8 papers). Héctor Marco-Gisbert collaborates with scholars based in United Kingdom, Spain and China. Héctor Marco-Gisbert's co-authors include Sarwar Sayeed, Ismael Ripoll, Keshav Dahal, Zeeshan Pervez, Youguang Guo and Carolyn E. Begg and has published in prestigious journals such as IEEE Access, Applied Sciences and Computers & Security.

In The Last Decade

Héctor Marco-Gisbert

25 papers receiving 666 citations

Hit Papers

Assessing Blockchain Consensus and Security Mechanisms ag... 2019 2026 2021 2023 2019 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Assessing Blockchain Consensus and Security Mechanisms against the 51% Attack
    2019 241 citations Sarwar Sayeed, Héctor Marco-Gisbert Applied Sciences profile →
  2. Smart Contract: Attacks and Protections
    2020 199 citations Sarwar Sayeed, Héctor Marco-Gisbert et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Héctor Marco-Gisbert United Kingdom 10 560 253 228 161 65 28 693
Zihao Li China 10 515 0.9× 192 0.8× 113 0.5× 122 0.8× 75 1.2× 36 623
Sarwar Sayeed United Kingdom 9 502 0.9× 164 0.6× 181 0.8× 63 0.4× 66 1.0× 11 578
Philip Daian United States 7 561 1.0× 247 1.0× 149 0.7× 113 0.7× 100 1.5× 11 650
Timothy Grance Egypt 7 590 1.1× 161 0.6× 402 1.8× 73 0.5× 53 0.8× 13 752
Colin Tankard United States 6 282 0.5× 172 0.7× 283 1.2× 155 1.0× 45 0.7× 23 560
Lotfi Ben Othmane United States 13 386 0.7× 199 0.8× 169 0.7× 72 0.4× 39 0.6× 31 582
Pavol Zavarsky Canada 15 521 0.9× 287 1.1× 387 1.7× 361 2.2× 28 0.4× 102 825
Pak‐Lok Poon Australia 14 345 0.6× 233 0.9× 163 0.7× 90 0.6× 43 0.7× 54 896
Reijo Savola Finland 16 563 1.0× 219 0.9× 404 1.8× 166 1.0× 43 0.7× 89 777
Akond Rahman United States 17 790 1.4× 299 1.2× 493 2.2× 350 2.2× 46 0.7× 82 1.1k

Countries citing papers authored by Héctor Marco-Gisbert

Since Specialization
Citations

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

Fields of papers citing papers by Héctor Marco-Gisbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Héctor Marco-Gisbert. 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 Héctor Marco-Gisbert. The network helps show where Héctor Marco-Gisbert may publish in the future.

Co-authorship network of co-authors of Héctor Marco-Gisbert

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

All Works

20 of 20 papers shown
1.
Ripoll, Ismael, et al.. (2024). Provisioning the external infrastructure for Cyberspace Operations. A spotlight on Russian APT groups. DergiPark (Istanbul University). 13(2). 1–32.
2.
Ripoll, Ismael, et al.. (2022). Key Requirements for the Detection and Sharing of Behavioral Indicators of Compromise. Electronics. 11(3). 416–416. 12 indexed citations
3.
Ripoll, Ismael, et al.. (2022). A Taxonomy for Threat Actors’ Delivery Techniques. Applied Sciences. 12(8). 3929–3929. 6 indexed citations
4.
Marco-Gisbert, Héctor, et al.. (2022). A Taxonomy for Threat Actors’ Persistence Techniques. Computers & Security. 121. 102855–102855. 4 indexed citations
5.
Marco-Gisbert, Héctor, et al.. (2022). SOC Critical Path: A Defensive Kill Chain Model. IEEE Access. 10. 13570–13581. 6 indexed citations
6.
Marco-Gisbert, Héctor, et al.. (2020). A Study on the Security of Authentication Systems. 64–69.
7.
Sayeed, Sarwar, et al.. (2020). Security of Blockchain Consensus Protocols. 70–75. 1 indexed citations
8.
Marco-Gisbert, Héctor, et al.. (2020). An Info-Leak Resistant Kernel Randomization for Virtualized Systems. IEEE Access. 8. 161612–161629. 2 indexed citations
9.
Guo, Youguang, et al.. (2020). Mitigating Webshell Attacks through Machine Learning Techniques. Future Internet. 12(1). 12–12. 20 indexed citations
10.
Sayeed, Sarwar, et al.. (2019). DNS-IdM: A Blockchain Identity Management System to Secure Personal Data Sharing in a Network. Applied Sciences. 9(15). 2953–2953. 61 indexed citations
11.
Sayeed, Sarwar & Héctor Marco-Gisbert. (2019). Assessing Blockchain Consensus and Security Mechanisms against the 51% Attack. Applied Sciences. 9(9). 1788–1788. 241 indexed citations breakdown →
12.
Marco-Gisbert, Héctor & Ismael Ripoll. (2019). Address Space Layout Randomization Next Generation. Applied Sciences. 9(14). 2928–2928. 21 indexed citations
13.
Marco-Gisbert, Héctor & Ismael Ripoll. (2019). SSPFA: effective stack smashing protection for Android OS. International Journal of Information Security. 18(4). 519–532. 2 indexed citations
14.
Sayeed, Sarwar, et al.. (2019). Control-Flow Integrity: Attacks and Protections. Applied Sciences. 9(20). 4229–4229. 12 indexed citations
15.
Sayeed, Sarwar & Héctor Marco-Gisbert. (2018). On the effectiveness of blockchain against cryptocurrency attacks. 9–14. 8 indexed citations
16.
Marco-Gisbert, Héctor, et al.. (2018). How Kernel Randomization is Canceling Memory Deduplication in Cloud Computing Systems. The UWS Academic Portal (University of the West of Scotland). 1–4. 3 indexed citations
17.
Marco-Gisbert, Héctor & Ismael Ripoll. (2018). return-to-csu: a new method to bypass 64-bit Linux ASLR. 3 indexed citations
18.
Marco-Gisbert, Héctor & Ismael Ripoll. (2016). Exploiting Linux and PaX ASLR’s weaknesses on 32-bit and 64-bit systems. 3 indexed citations
19.
Marco-Gisbert, Héctor & Ismael Ripoll. (2014). On the Effectiveness of NX, SSP, RenewSSP, and ASLR against Stack Buffer Overflows. 145–152. 22 indexed citations
20.
Marco-Gisbert, Héctor & Ismael Ripoll. (2013). Preventing Brute Force Attacks Against Stack Canary Protection on Networking Servers. 243–250. 25 indexed citations

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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