Ignacio Castro

1.5k total citations
56 papers, 750 citations indexed

About

Ignacio Castro is a scholar working on Artificial Intelligence, Computer Networks and Communications and Communication. According to data from OpenAlex, Ignacio Castro has authored 56 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 11 papers in Communication. Recurrent topics in Ignacio Castro's work include Hate Speech and Cyberbullying Detection (14 papers), Internet Traffic Analysis and Secure E-voting (11 papers) and Social Media and Politics (10 papers). Ignacio Castro is often cited by papers focused on Hate Speech and Cyberbullying Detection (14 papers), Internet Traffic Analysis and Secure E-voting (11 papers) and Social Media and Politics (10 papers). Ignacio Castro collaborates with scholars based in United Kingdom, Spain and Hong Kong. Ignacio Castro's co-authors include Gareth Tyson, Sergey Gorinsky, Steve Uhlig, Waleed Iqbal, Junaid Qadir, Félix Cuadrado, Jon Crowcroft, Siddique Latif, Adeel Razi and Maged N. Kamel Boulos and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine and Pattern Recognition.

In The Last Decade

Ignacio Castro

50 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignacio Castro United Kingdom 16 324 316 135 121 100 56 750
Kadhim Hayawi United Arab Emirates 14 224 0.7× 246 0.8× 206 1.5× 160 1.3× 31 0.3× 51 671
André Panisson Italy 15 144 0.4× 143 0.5× 79 0.6× 148 1.2× 17 0.2× 35 730
Vedika Gupta India 14 115 0.4× 302 1.0× 84 0.6× 80 0.7× 62 0.6× 47 695
Jingjing Ren China 11 283 0.9× 340 1.1× 145 1.1× 88 0.7× 29 0.3× 32 660
Piotr Bródka Poland 15 102 0.3× 195 0.6× 86 0.6× 115 1.0× 52 0.5× 52 794
Attila Kiss Hungary 11 70 0.2× 271 0.9× 120 0.9× 126 1.0× 15 0.1× 67 488
Regio A. Michelin Brazil 7 191 0.6× 154 0.5× 432 3.2× 174 1.4× 50 0.5× 16 573
Wanli Xue Australia 8 87 0.3× 178 0.6× 309 2.3× 170 1.4× 50 0.5× 17 542
Shelly Sachdeva India 13 85 0.3× 216 0.7× 120 0.9× 55 0.5× 39 0.4× 64 532
Li Weng United States 10 81 0.3× 112 0.4× 60 0.4× 188 1.6× 114 1.1× 38 758

Countries citing papers authored by Ignacio Castro

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Castro

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Castro. A scholar is included among the top collaborators of Ignacio Castro 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 Ignacio Castro. Ignacio Castro 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.
Karan, Mladen, et al.. (2025). Two Decades of IETF Affiliations: Evolution and Impact. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 17–23.
2.
Zhang, Mengqi, et al.. (2025). Contrastive Domain Adaptation with Test-Time Training for Out-of-Context News Detection. Pattern Recognition. 164. 111530–111530. 1 indexed citations
3.
He, Jiahui, et al.. (2024). Fediverse Migrations: A Study of User Account Portability on the Mastodon Social Network. Queen Mary Research Online (Queen Mary University of London). 68–75. 1 indexed citations
4.
Schubotz, Moritz, et al.. (2024). IPFS in the Fast Lane: Accelerating Record Storage with Optimistic Provide. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1920–1929. 2 indexed citations
5.
Castro, Ignacio, et al.. (2024). Detecting Multimodal Fake News with Gated Variational AutoEncoder. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 129–138. 1 indexed citations
6.
Castro, Ignacio, et al.. (2024). Mastodoner: A Command-line Tool and Python Library for Public Data Collection from Mastodon. Queen Mary Research Online (Queen Mary University of London). 5314–5317.
7.
Castro, Ignacio, et al.. (2024). Collecting and Analyzing Public Data from Mastodon. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5551–5553. 1 indexed citations
8.
Ascigil, Onur, Gareth Tyson, Björn Scheuermann, et al.. (2024). Looking AT the Blue Skies of Bluesky. SPIRE - Sciences Po Institutional REpository. 76–91. 1 indexed citations
9.
Castro, Ignacio, et al.. (2024). Diagnostic support in pediatric craniopharyngioma using deep learning. Child s Nervous System. 40(8). 2295–2300. 1 indexed citations
10.
Karan, Mladen, Colin Perkins, Gareth Tyson, et al.. (2024). Temporal Network Analysis of Email Communication Patterns in a Long Standing Hierarchy. Proceedings of the International AAAI Conference on Web and Social Media. 18. 126–138. 3 indexed citations
11.
Castro, Ignacio, et al.. (2023). Flocking to Mastodon: Tracking the Great Twitter Migration. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 111–123. 18 indexed citations
12.
Raman, Aravindh, et al.. (2023). Will Admins Cope? Decentralized Moderation in the Fediverse. arXiv (Cornell University). 3109–3120. 12 indexed citations
13.
Castro, Ignacio, et al.. (2023). Cashing in on Contacts: Characterizing the OnlyFans Ecosystem. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2645–2654. 3 indexed citations
14.
Tyson, Gareth, et al.. (2023). Lady and the Tramp Nextdoor: Online Manifestations of Real-World Inequalities in the Nextdoor Social Network. Proceedings of the International AAAI Conference on Web and Social Media. 17. 399–410. 2 indexed citations
15.
Usama, Muhammad, Junaid Qadir, Waleed Iqbal, et al.. (2022). A First Look at CQVID-19 Messages on WhatsApp in Pakistan. Queen Mary Research Online (Queen Mary University of London). 14 indexed citations
16.
Iqbal, Waleed, Muhammad Haseeb Arshad, Gareth Tyson, & Ignacio Castro. (2022). Exploring Crowdsourced Content Moderation Through Lens of Reddit during COVID-19. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 26–35. 7 indexed citations
17.
Tajiki, Mohammad Mahdi, et al.. (2021). Optimal Estimation of Link Delays Based on End-to-End Active Measurements. Cineca Institutional Research Information System (Tor Vergata University). 4 indexed citations
18.
Usama, Muhammad, Waleed Iqbal, Junaid Qadir, et al.. (2021). A deep dive into COVID-19-related messages on WhatsApp in Pakistan. Social Network Analysis and Mining. 12(1). 5–5. 17 indexed citations
19.
Antichi, Gianni, et al.. (2018). The Elusive Internet Flattening: 10 Years of IXP Growth.. arXiv (Cornell University). 15 indexed citations
20.
Dı́az-Villanueva, Wladimiro, et al.. (2011). A VIRTUAL WEB LAB FOR TEACHING ENTERPRISE WEB APPLICATIONS DEVELOPMENT. 3737–3737. 1 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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