Mario Di Francesco

6.9k total citations · 3 hit papers
76 papers, 4.9k citations indexed

About

Mario Di Francesco is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Mario Di Francesco has authored 76 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Networks and Communications, 34 papers in Electrical and Electronic Engineering and 16 papers in Information Systems. Recurrent topics in Mario Di Francesco's work include Energy Efficient Wireless Sensor Networks (27 papers), Energy Harvesting in Wireless Networks (19 papers) and IoT and Edge/Fog Computing (17 papers). Mario Di Francesco is often cited by papers focused on Energy Efficient Wireless Sensor Networks (27 papers), Energy Harvesting in Wireless Networks (19 papers) and IoT and Edge/Fog Computing (17 papers). Mario Di Francesco collaborates with scholars based in Finland, United States and Italy. Mario Di Francesco's co-authors include Marco Conti, Giuseppe Anastasi, Andrea Passarella, Gopika Premsankar, Giuseppe Anastasi, Sajal K. Das, Tarik Taleb, Mariusz Słabicki, Antti Ylä-Jääski and Cesare Alippi and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Industrial Informatics.

In The Last Decade

Mario Di Francesco

74 papers receiving 4.6k citations

Hit Papers

3 papers align trajectories

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.

Energy conservation in wireless sensor networks: A survey

2008 1.8k citations Giuseppe Anastasi, Marco Conti et al. Ad Hoc Networks profile →
Edge Computing for the Internet of Things: A Case Study

2018 479 citations Gopika Premsankar, Mario Di Francesco et al. IEEE Internet of Things Journal profile →
Data Collection in Wireless Sensor Networks with Mobile Elements

2011 386 citations Mario Di Francesco, Sajal K. Das et al. ACM Transactions on Sensor Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mario Di Francesco Finland	25	4.1k	2.5k	558	460	412	76	4.9k
Lin Gu China	36	4.2k 1.0×	2.1k 0.9×	1.1k 1.9×	719 1.6×	252 0.6×	146	5.3k
Tarachand Amgoth India	31	2.6k 0.6×	1.6k 0.6×	703 1.3×	233 0.5×	161 0.4×	84	3.3k
Holger Karl Germany	29	4.2k 1.0×	2.4k 1.0×	403 0.7×	278 0.6×	173 0.4×	249	4.9k
Yuan He China	36	2.6k 0.6×	2.4k 1.0×	273 0.5×	298 0.6×	370 0.9×	193	4.3k
Adam Dunkels Sweden	31	6.0k 1.5×	2.7k 1.1×	340 0.6×	984 2.1×	488 1.2×	98	6.6k
Dirk Timmermann Germany	23	2.3k 0.6×	1.6k 0.6×	271 0.5×	286 0.6×	273 0.7×	265	3.4k
Hossam S. Hassanein Canada	37	5.2k 1.3×	3.7k 1.5×	448 0.8×	587 1.3×	135 0.3×	581	6.9k
Amy L. Murphy Italy	30	2.5k 0.6×	965 0.4×	412 0.7×	643 1.4×	217 0.5×	104	3.3k
Julie A. McCann United Kingdom	31	2.6k 0.6×	1.7k 0.7×	824 1.5×	450 1.0×	206 0.5×	183	4.6k
Luca Mottola Italy	28	2.4k 0.6×	1.4k 0.6×	194 0.3×	440 1.0×	214 0.5×	132	3.2k

Countries citing papers authored by Mario Di Francesco

Since Specialization

Citations

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

Fields of papers citing papers by Mario Di Francesco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Di Francesco. 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 Mario Di Francesco. The network helps show where Mario Di Francesco may publish in the future.

Co-authorship network of co-authors of Mario Di Francesco

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Francesco, Mario Di, et al.. (2024). From WHOIS to RDAP: Are IP Lookup Services Getting any Better?. Aaltodoc (Aalto University). 1–10. 1 indexed citations

Naas, Si‐Ahmed, et al.. (2022). Knowledge Sharing in AI Services: A Market-Based Approach. IEEE Internet of Things Journal. 10(2). 1320–1331. 4 indexed citations

Jedari, Behrouz, et al.. (2022). Efficient and Fair Multi-Resource Allocation in Dynamic Fog Radio Access Network Slicing. IEEE Internet of Things Journal. 9(24). 24600–24614. 9 indexed citations

Premsankar, Gopika, et al.. (2021). Modeling Communication Reliability in LoRa Networks with Device-level Accuracy. Aaltodoc (Aalto University). 1–10. 18 indexed citations

Premsankar, Gopika, et al.. (2021). Data-Driven Energy Conservation in Cellular Networks: A Systems Approach. IEEE Transactions on Network and Service Management. 18(3). 3567–3582. 6 indexed citations

Premsankar, Gopika, Bissan Ghaddar, Mariusz Słabicki, & Mario Di Francesco. (2020). Optimal Configuration of LoRa Networks in Smart Cities. IEEE Transactions on Industrial Informatics. 16(12). 7243–7254. 75 indexed citations

Bayhan, Suzan, et al.. (2020). CTC-CEM: Low-Latency Cross-Technology Channel Establishment with Multiple Nodes. University of Twente Research Information. 117–126.

Jedari, Behrouz, et al.. (2020). Video Caching, Analytics, and Delivery at the Wireless Edge: A Survey and Future Directions. IEEE Communications Surveys & Tutorials. 23(1). 431–471. 94 indexed citations

Joe‐Wong, Carlee, et al.. (2020). Distributed Inference Acceleration with Adaptive DNN Partitioning and Offloading. Aaltodoc (Aalto University). 854–863. 140 indexed citations

10.

Oulasvirta, Antti, et al.. (2019). Foraging-based optimization of pervasive displays. Pervasive and Mobile Computing. 55. 45–58. 4 indexed citations

11.

Jedari, Behrouz & Mario Di Francesco. (2019). Auction-based Cache Trading for Scalable Videos in Multi-Provider Heterogeneous Networks. Aaltodoc (Aalto University). 1864–1872. 13 indexed citations

12.

Jedari, Behrouz & Mario Di Francesco. (2018). Delay Analysis of Layered Video Caching in Crowdsourced Heterogeneous Wireless Networks. Aaltodoc (Aalto University). 1–6. 4 indexed citations

13.

Hieu, Nguyen Trung, Mario Di Francesco, & Antti Ylä-Jääski. (2017). Virtual Machine Consolidation with Multiple Usage Prediction for Energy-Efficient Cloud Data Centers. IEEE Transactions on Services Computing. 13(1). 186–199. 121 indexed citations

14.

Sethi, Mohit, et al.. (2015). Flexible Management of Cloud-Connected Digital Signage. 37. 205–212. 3 indexed citations

15.

Sethi, Mohit, et al.. (2015). Secure and low-power authentication for resource-constrained devices. 30–36. 4 indexed citations

16.

Das, Sajal K., et al.. (2014). Adaptive and context-aware privacy preservation exploiting user interactions in smart environments. Pervasive and Mobile Computing. 12. 232–243. 14 indexed citations

17.

Raj, Mayank, et al.. (2012). An integrated cloud-based framework for mobile phone sensing. 47–52. 15 indexed citations

18.

Francesco, Mario Di, Sajal K. Das, & Giuseppe Anastasi. (2011). Data Collection in Wireless Sensor Networks with Mobile Elements. ACM Transactions on Sensor Networks. 8(1). 1–31. 386 indexed citations breakdown →

19.

Anastasi, Giuseppe, Marco Conti, & Mario Di Francesco. (2010). A Comprehensive Analysis of the MAC Unreliability Problem in IEEE 802.15.4 Wireless Sensor Networks. IEEE Transactions on Industrial Informatics. 7(1). 52–65. 164 indexed citations

20.

Anastasi, Giuseppe, Marco Conti, Mario Di Francesco, & Andrea Passarella. (2008). Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks. 7(3). 537–568. 1765 indexed citations breakdown →

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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