Irene Macaluso

1.6k total citations · 1 hit paper
54 papers, 998 citations indexed

About

Irene Macaluso is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Irene Macaluso has authored 54 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 23 papers in Electrical and Electronic Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Irene Macaluso's work include Advanced MIMO Systems Optimization (16 papers), Cognitive Radio Networks and Spectrum Sensing (12 papers) and Cooperative Communication and Network Coding (10 papers). Irene Macaluso is often cited by papers focused on Advanced MIMO Systems Optimization (16 papers), Cognitive Radio Networks and Spectrum Sensing (12 papers) and Cooperative Communication and Network Coding (10 papers). Irene Macaluso collaborates with scholars based in Ireland, Italy and United Kingdom. Irene Macaluso's co-authors include Avishek Nag, Marco Ruffini, Francesco Musumeci, Massimo Tornatore, Darko Zibar, Cristina Rottondi, Linda Doyle, Luiz A. DaSilva, Antonio Chella and Nicola Marchetti and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Irene Macaluso

54 papers receiving 964 citations

Hit Papers

An Overview on Application of Machine Learning Techniques... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irene Macaluso Ireland 14 593 396 201 96 66 54 998
Ramón J. Durán Barroso Spain 19 789 1.3× 405 1.0× 242 1.2× 64 0.7× 64 1.0× 119 1.3k
Taras Maksymyuk Ukraine 23 872 1.5× 764 1.9× 160 0.8× 83 0.9× 90 1.4× 88 1.4k
Xuefen Chi China 15 650 1.1× 389 1.0× 179 0.9× 73 0.8× 107 1.6× 80 1.1k
Bo Ji United States 18 611 1.0× 811 2.0× 175 0.9× 37 0.4× 87 1.3× 84 1.2k
Hoi-To Wai Hong Kong 15 533 0.9× 293 0.7× 294 1.5× 67 0.7× 55 0.8× 74 1.1k
Hiroshi Esaki Japan 19 434 0.7× 957 2.4× 411 2.0× 97 1.0× 93 1.4× 186 1.4k
Zuriati Ahmad Zukarnain Malaysia 19 510 0.9× 869 2.2× 208 1.0× 52 0.5× 110 1.7× 135 1.3k
Zurina Mohd Hanapi Malaysia 21 490 0.8× 955 2.4× 213 1.1× 49 0.5× 99 1.5× 121 1.3k
Linqi Song Hong Kong 20 369 0.6× 484 1.2× 575 2.9× 67 0.7× 152 2.3× 126 1.3k

Countries citing papers authored by Irene Macaluso

Since Specialization
Citations

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

Fields of papers citing papers by Irene Macaluso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irene Macaluso

This figure shows the co-authorship network connecting the top 25 collaborators of Irene Macaluso. A scholar is included among the top collaborators of Irene Macaluso 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 Irene Macaluso. Irene Macaluso 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.
Kalalas, Charalampos, et al.. (2021). Information Processing and Data Visualization in Networked Industrial Systems. LUTPub (LUT University). 1–6. 2 indexed citations
2.
Marchetti, Nicola, et al.. (2020). Minimizing the Signaling Overhead and Latency Based on Users’ Mobility Patterns. IEEE Systems Journal. 15(1). 77–84. 2 indexed citations
3.
Nardelli, Pedro H. J., Constantinos B. Papadias, Charalampos Kalalas, et al.. (2019). Framework for the Identification of Rare Events via Machine Learning and IoT Networks. LUTPub (LUT University). 656–660. 5 indexed citations
4.
Macaluso, Irene, et al.. (2018). The Network As a Computer: A Framework for Distributed Computing Over IoT Mesh Networks. IEEE Internet of Things Journal. 5(3). 2107–2119. 32 indexed citations
5.
Butt, M. Majid, et al.. (2018). Spectrum matching in licensed spectrum sharing. Transactions on Emerging Telecommunications Technologies. 29(10). 1 indexed citations
6.
Musumeci, Francesco, Cristina Rottondi, Avishek Nag, et al.. (2018). An Overview on Application of Machine Learning Techniques in Optical Networks. IEEE Communications Surveys & Tutorials. 21(2). 1383–1408. 420 indexed citations breakdown →
7.
Kaminski, Nicholas J., et al.. (2017). Relation between functional complexity, scalability and energy efficiency in WSNs. 46. 675–680. 5 indexed citations
8.
Kaminski, Nicholas J., Irene Macaluso, Avishek Nag, et al.. (2017). A neural-network-based realization of in-network computation for the Internet of Things. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 1–6. 11 indexed citations
9.
Marinescu, Andrei, Irene Macaluso, & Luiz A. DaSilva. (2017). System Level Evaluation and Validation of the ns-3 LTE Module in 3GPP Reference Scenarios. 59–64. 12 indexed citations
10.
Farhang, Arman, et al.. (2016). Enhanced auction-assisted LSA. 517–522. 2 indexed citations
11.
Macaluso, Irene, et al.. (2016). A complex systems science perspective on wireless networks. Journal of Systems Science and Complexity. 29(4). 1034–1056. 7 indexed citations
12.
Ahmadi, Hamed, Irene Macaluso, & Luiz A. DaSilva. (2013). The effect of the spectrum opportunities diversity on opportunistic access. Arrow@dit (Dublin Institute of Technology). 2829–2834. 6 indexed citations
13.
Macaluso, Irene, et al.. (2012). Managing spectrum into abundance. 39. 2 indexed citations
14.
Doyle, Linda, et al.. (2012). Learning Nash Equilibria in Distributed Channel Selection for Frequency-Agile Radios. Arrow@dit (Dublin Institute of Technology). 8 indexed citations
15.
Xiao, Yong, et al.. (2012). Spatial spectrum sharing-based carrier aggregation for heterogeneous networks. 2591–2596. 17 indexed citations
16.
Chella, Antonio & Irene Macaluso. (2008). The perception loop in CiceRobot, a museum guide robot. Neurocomputing. 72(4-6). 760–766. 23 indexed citations
17.
Chella, Antonio & Irene Macaluso. (2007). Machine Consciousness in CiceRobot, a Museum Guide Robot.. National Conference on Artificial Intelligence. 90–95. 2 indexed citations
18.
Chella, Antonio, Irene Macaluso, & Lorenzo Riano. (2007). Automatic Landmark Detection and Recognition in Autonomous Robotics. Nova Science Publishers (Nova Science Publishers, Inc.). 1 indexed citations
19.
Chella, Antonio, Irene Macaluso, & Lorenzo Riano. (2007). Automatic place detection and localization in autonomous robotics. Nova Science Publishers (Nova Science Publishers, Inc.). 741–746. 9 indexed citations
20.
Chella, Antonio, et al.. (2007). CiceRobot: a cognitive robot for interactive museum tours. Industrial Robot the international journal of robotics research and application. 34(6). 503–511. 17 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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