Alessandro D’Alconzo

1.5k total citations
47 papers, 1.0k citations indexed

About

Alessandro D’Alconzo is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Alessandro D’Alconzo has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Networks and Communications, 29 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Alessandro D’Alconzo's work include Network Security and Intrusion Detection (26 papers), Internet Traffic Analysis and Secure E-voting (23 papers) and Caching and Content Delivery (11 papers). Alessandro D’Alconzo is often cited by papers focused on Network Security and Intrusion Detection (26 papers), Internet Traffic Analysis and Secure E-voting (23 papers) and Caching and Content Delivery (11 papers). Alessandro D’Alconzo collaborates with scholars based in Austria, Italy and Spain. Alessandro D’Alconzo's co-authors include Pedro Casas, Raimund Schatz, Fabio Ricciato, Pierdomenico Fiadino, Sebastian Egger, Peter Reichl, Angelo Coluccia, Marco Mellia, Andrea Morichetta and Idílio Drago and has published in prestigious journals such as IEEE Communications Magazine, TrAC Trends in Analytical Chemistry and ACM SIGCOMM Computer Communication Review.

In The Last Decade

Alessandro D’Alconzo

46 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro D’Alconzo Austria 18 706 393 261 230 175 47 1.0k
Junde Song China 16 798 1.1× 233 0.6× 155 0.6× 468 2.0× 91 0.5× 230 1.3k
Markus Miettinen Germany 16 638 0.9× 504 1.3× 177 0.7× 165 0.7× 390 2.2× 36 1.2k
Lidan Shou China 18 260 0.4× 479 1.2× 227 0.9× 88 0.4× 324 1.9× 110 1.2k
Emir Halepovic United States 19 709 1.0× 183 0.5× 475 1.8× 336 1.5× 180 1.0× 46 992
Xu Zheng China 8 299 0.4× 421 1.1× 100 0.4× 161 0.7× 54 0.3× 11 777
Pere Barlet‐Ros Spain 21 902 1.3× 647 1.6× 182 0.7× 241 1.0× 173 1.0× 83 1.3k
Antonio Nucci United States 27 1.3k 1.9× 881 2.2× 103 0.4× 402 1.7× 469 2.7× 72 1.7k
Olivier Verscheure United States 14 349 0.5× 285 0.7× 364 1.4× 72 0.3× 263 1.5× 47 888
Jonathan Ledlie United States 18 1.2k 1.7× 209 0.5× 203 0.8× 547 2.4× 321 1.8× 30 1.7k
Suguo Du China 16 557 0.8× 505 1.3× 60 0.2× 348 1.5× 79 0.5× 34 1.1k

Countries citing papers authored by Alessandro D’Alconzo

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro D’Alconzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessandro D’Alconzo. 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 Alessandro D’Alconzo. The network helps show where Alessandro D’Alconzo may publish in the future.

Co-authorship network of co-authors of Alessandro D’Alconzo

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro D’Alconzo. A scholar is included among the top collaborators of Alessandro D’Alconzo 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 Alessandro D’Alconzo. Alessandro D’Alconzo 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.
D’Alconzo, Alessandro, Idílio Drago, Andrea Morichetta, Marco Mellia, & Pedro Casas. (2019). A Survey on Big Data for Network Traffic Monitoring and Analysis. IEEE Transactions on Network and Service Management. 16(3). 800–813. 113 indexed citations
2.
Fiadino, Pierdomenico, et al.. (2017). Call Detail Records for Human Mobility Studies. 9 indexed citations
3.
Casas, Pedro, Pierdomenico Fiadino, & Alessandro D’Alconzo. (2016). Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks.. 33 indexed citations
4.
Casas, Pedro, Alessandro D’Alconzo, Pierdomenico Fiadino, et al.. (2016). DBStream: A holistic approach to large-scale network traffic monitoring and analysis. Computer Networks. 107. 5–19. 16 indexed citations
5.
Casas, Pedro, Pierdomenico Fiadino, Stefano Traverso, et al.. (2016). Unveiling network and service performance degradation in the wild with mplane. IEEE Communications Magazine. 54(3). 71–79. 15 indexed citations
6.
D’Alconzo, Alessandro, Pere Barlet‐Ros, Kensuke Fukuda, & David Choffnes. (2016). Machine learning, data mining and Big Data frameworks for network monitoring and troubleshooting. Computer Networks. 107. 1–4. 2 indexed citations
7.
Fiadino, Pierdomenico, et al.. (2015). Online Social Networks anatomy: On the analysis of Facebook and WhatsApp in cellular networks. 1–9. 9 indexed citations
8.
Fiadino, Pierdomenico, et al.. (2015). Challenging Entropy-based Anomaly Detection and Diagnosis in Cellular Networks. ACM SIGCOMM Computer Communication Review. 45(4). 87–88. 2 indexed citations
9.
D’Alconzo, Alessandro, et al.. (2014). Who to Blame when YouTube is not Working? Detecting Anomalies in CDN Provisioned Services. TrAC Trends in Analytical Chemistry. 1 indexed citations
10.
Casas, Pedro, Pierdomenico Fiadino, Andreas Sackl, & Alessandro D’Alconzo. (2014). YouTube in the move: Understanding the performance of YouTube in cellular networks. 1–6. 12 indexed citations
11.
D’Alconzo, Alessandro, et al.. (2014). Who to blame when YouTube is not working? detecting anomalies in CDN-provisioned services. 435–440. 3 indexed citations
12.
Casas, Pedro, et al.. (2014). When YouTube Does not Work—Analysis of QoE-Relevant Degradation in Google CDN Traffic. IEEE Transactions on Network and Service Management. 11(4). 441–457. 49 indexed citations
13.
14.
Coluccia, Angelo, Alessandro D’Alconzo, & Fabio Ricciato. (2011). On the optimality of max–min fairness in resource allocation. Annals of Telecommunications. 67(1-2). 15–26. 19 indexed citations
15.
Valerio, Danilo, et al.. (2009). Exploiting Cellular Networks for Road Traffic Estimation: A Survey and a Research Roadmap. 1–5. 54 indexed citations
16.
Boggia, Gennaro, P. Camarda, & Alessandro D’Alconzo. (2009). Performance of Markov models for frame‐level errors in IEEE 802.11 wireless LANs. International Journal of Communication Systems. 22(6). 695–718. 8 indexed citations
17.
Ricciato, Fabio, Angelo Coluccia, Alessandro D’Alconzo, et al.. (2009). On the Role of Flows and Sessions in Internet Traffic Modeling: An Explorative Toy-Model. HAL (Le Centre pour la Communication Scientifique Directe). 1–8. 10 indexed citations
18.
D’Alconzo, Alessandro, et al.. (2009). A Distribution-Based Approach to Anomaly Detection and Application to 3G Mobile Traffic. 1–8. 35 indexed citations
19.
Boggia, Gennaro, P. Camarda, & Alessandro D’Alconzo. (2007). Modeling of Call Dropping in Well-Established Cellular Networks. EURASIP Journal on Wireless Communications and Networking. 2007(1). 25 indexed citations
20.
Boggia, Gennaro, et al.. (2005). Drop Call Probability in Established Cellular Networks: from data Analysis to Modelling. 5. 2775–2779. 14 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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