Massimo Condoluci

3.4k total citations · 1 hit paper
62 papers, 2.4k citations indexed

About

Massimo Condoluci is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Massimo Condoluci has authored 62 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Networks and Communications, 54 papers in Electrical and Electronic Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Massimo Condoluci's work include Advanced MIMO Systems Optimization (36 papers), Advanced Wireless Network Optimization (28 papers) and Cooperative Communication and Network Coding (24 papers). Massimo Condoluci is often cited by papers focused on Advanced MIMO Systems Optimization (36 papers), Advanced Wireless Network Optimization (28 papers) and Cooperative Communication and Network Coding (24 papers). Massimo Condoluci collaborates with scholars based in Italy, United Kingdom and Sweden. Massimo Condoluci's co-authors include Giuseppe Araniti, Antonio Iera, Antonella Molinaro, Toktam Mahmoodi, Mischa Döhler, Claudia Campolo, Leonardo Militano, María A. Lema, Luca Feltrin and Kan Zheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Massimo Condoluci

60 papers receiving 2.3k citations

Hit Papers

LTE for vehicular networking: a survey 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Condoluci Italy 26 1.9k 1.6k 170 157 155 62 2.4k
Boris Bellalta Spain 28 2.0k 1.1× 2.1k 1.4× 161 0.9× 111 0.7× 60 0.4× 155 2.7k
Francesca Cuomo Italy 25 1.8k 1.0× 2.1k 1.3× 199 1.2× 235 1.5× 41 0.3× 181 2.6k
Haeyoung Lee United Kingdom 11 1.1k 0.6× 649 0.4× 74 0.4× 188 1.2× 109 0.7× 35 1.4k
Matteo Cesana Italy 30 1.7k 0.9× 2.1k 1.4× 104 0.6× 154 1.0× 124 0.8× 136 2.8k
Απόστολος Κουσαρίδας Germany 16 1.0k 0.6× 730 0.5× 57 0.3× 130 0.8× 89 0.6× 57 1.5k
Mate Boban Germany 21 2.1k 1.1× 903 0.6× 78 0.5× 246 1.6× 89 0.6× 70 2.4k
Yu Gu China 24 1.6k 0.9× 664 0.4× 59 0.3× 145 0.9× 174 1.1× 49 1.9k
Adnan Aijaz United Kingdom 26 1.7k 0.9× 1.8k 1.1× 328 1.9× 110 0.7× 100 0.6× 91 2.6k
Md. Noor‐A‐Rahim Ireland 18 990 0.5× 557 0.4× 80 0.5× 174 1.1× 64 0.4× 71 1.5k
Angelos Antonopoulos Spain 30 1.7k 0.9× 1.8k 1.1× 333 2.0× 124 0.8× 121 0.8× 112 2.5k

Countries citing papers authored by Massimo Condoluci

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Condoluci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Condoluci

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Condoluci. A scholar is included among the top collaborators of Massimo Condoluci 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 Massimo Condoluci. Massimo Condoluci 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
2.
Condoluci, Massimo, et al.. (2019). Fixed-Mobile Convergence in the 5G Era: From Hybrid Access to Converged Core. IEEE Network. 33(2). 138–145. 21 indexed citations
3.
Feltrin, Luca, Massimo Condoluci, Chiara Buratti, et al.. (2019). Narrowband IoT: A Survey on Downlink and Uplink Perspectives. IEEE Wireless Communications. 26(1). 78–86. 107 indexed citations
4.
Khorov, Evgeny, Alexander Krotov, Andrey Lyakhov, et al.. (2019). Enabling the Internet of Things With Wi-Fi Halow—Performance Evaluation of the Restricted Access Window. IEEE Access. 7. 127402–127415. 38 indexed citations
5.
Jiang, Nan, Yansha Deng, Massimo Condoluci, et al.. (2018). RACH Preamble Repetition in NB-IoT Network. IEEE Communications Letters. 22(6). 1244–1247. 51 indexed citations
6.
Condoluci, Massimo, et al.. (2018). mIot Connectivity Solutions for Enhanced 5G Systems. 1–7. 2 indexed citations
7.
Trivisonno, Riccardo, Massimo Condoluci, Xueli An, & Toktam Mahmoodi. (2018). mIoT Slice for 5G Systems: Design and Performance Evaluation. Sensors. 18(2). 635–635. 20 indexed citations
8.
Feltrin, Luca, Massimo Condoluci, Toktam Mahmoodi, Mischa Döhler, & Roberto Verdone. (2018). NB-IoT: Performance estimation and optimal configuration. Research Portal (King's College London). 50–55. 14 indexed citations
9.
Pizzi, Sara, Massimo Condoluci, Antonella Molinaro, et al.. (2018). Resource Balancing of Unicast and Multicast Wireless Multimedia Services in 5G Networks. 1–5.
10.
Döhler, Mischa, Toktam Mahmoodi, María A. Lema, et al.. (2017). Internet of skills, where robotics meets AI, 5G and the Tactile Internet. Research Portal (King's College London). 1–5. 91 indexed citations
11.
Condoluci, Massimo, et al.. (2017). Cloud-RAN in Support of URLLC. 18. 1–6. 25 indexed citations
12.
Döhler, Mischa, Toktam Mahmoodi, María A. Lema, & Massimo Condoluci. (2017). Future of mobile. Research Portal (King's College London). 1–5. 4 indexed citations
13.
Vizarreta, Petra, Massimo Condoluci, Carmen Mas Machuca, Toktam Mahmoodi, & Wolfgang Kellerer. (2017). QoS-driven function placement reducing expenditures in NFV deployments. mediaTUM (Technical University of Munich). 1–7. 52 indexed citations
14.
Orsino, Antonino, et al.. (2016). A Multi-Criteria Approach for Multicast Resource Allocation over LTE and Beyond Cellular Systems. Research Portal (King's College London). 1–6. 4 indexed citations
15.
Condoluci, Massimo, Giuseppe Araniti, Mischa Döhler, Antonio Iera, & Antonella Molinaro. (2016). Virtual code resource allocation for energy-aware MTC access over 5G systems. Ad Hoc Networks. 43. 3–15. 11 indexed citations
16.
Condoluci, Massimo, Mischa Döhler, Giuseppe Araniti, Antonella Molinaro, & Joachim Sachs. (2016). Enhanced Radio Access and Data Transmission Procedures Facilitating Industry-Compliant Machine-Type Communications over LTE-Based 5G Networks. IEEE Wireless Communications. 23(1). 56–63. 30 indexed citations
17.
Cosmas, John, et al.. (2014). Self‐organising comprehensive handover strategy for multi‐tier LTE‐Advanced heterogeneous networks. IET Science Measurement & Technology. 8(6). 441–451. 9 indexed citations
18.
Militano, Leonardo, Massimo Condoluci, Giuseppe Araniti, Antonella Molinaro, & Antonio Iera. (2014). When D2D communication improves group oriented services in beyond 4G networks. Wireless Networks. 21(4). 1363–1377. 28 indexed citations
19.
Militano, Leonardo, Massimo Condoluci, Giuseppe Araniti, & Antonio Iera. (2013). Multicast service delivery solutions in LTE-Advanced systems. 9. 5954–5958. 17 indexed citations
20.
Militano, Leonardo, Massimo Condoluci, Giuseppe Araniti, & Antonio Iera. (2012). Bargaining Solutions for Multicast Subgroup Formation in LTE. 1–5. 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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