Claudio Forlivesi

1.1k total citations · 1 hit paper
17 papers, 781 citations indexed

About

Claudio Forlivesi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Claudio Forlivesi has authored 17 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Claudio Forlivesi's work include Context-Aware Activity Recognition Systems (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Neural Network Applications (4 papers). Claudio Forlivesi is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Neural Network Applications (4 papers). Claudio Forlivesi collaborates with scholars based in United Kingdom, Netherlands and Canada. Claudio Forlivesi's co-authors include Fahim Kawsar, Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Akhil Mathur, Lorena Qendro, Lei Jiao, Aidan Boran, Utku Günay Acer and Marc Van den Broeck and has published in prestigious journals such as IEEE Pervasive Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and EAI Endorsed Transactions on Energy Web.

In The Last Decade

Claudio Forlivesi

17 papers receiving 762 citations

Hit Papers

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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.

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices

2016 295 citations Nicholas D. Lane, Sourav Bhattacharya et al. Apollo (University of Cambridge) profile →

Peers

Countries citing papers authored by Claudio Forlivesi

Since Specialization

Citations

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

Fields of papers citing papers by Claudio Forlivesi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Forlivesi

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Scaling Crowdsourcing with Mobile Workforce 2019 ·Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies ·Utku Günay Acer, Marc Van den Broeck, Claudio Forlivesi, Florian Heller, Fahim Kawsar	10
2	Mindful interruptions 2018 ·Claudio Forlivesi, Utku Günay Acer, Marc Van den Broeck, Fahim Kawsar	8
3	On-Wearable AI to Model Human Interruptibility 2018 ·Claudio Forlivesi, Marc Van den Broeck, Utku Günay Acer, Fahim Kawsar	1
4	eSense 2018 ·Fahim Kawsar, Chulhong Min, Akhil Mathur, Marc Van den Broeck, Utku Günay Acer, Claudio Forlivesi	5
5	Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing? 2017 ·Utku Günay Acer, Marc Van den Broeck, (unknown), Claudio Forlivesi, Fahim Kawsar	1
6	DeepEye 2017 ·Akhil Mathur, Nicholas D. Lane, (unknown), Aidan Boran, Claudio Forlivesi, Fahim Kawsar	102
7	Squeezing Deep Learning into Mobile and Embedded Devices 2017 ·IEEE Pervasive Computing ·Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar	144
8	DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices breakdown → 2016 ·Apollo (University of Cambridge) ·Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar	295
9	Accelerating embedded deep learning using DeepX: demonstration abstract 2016 ·Information Processing in Sensor Networks ·Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar	3
10	Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX 2016 ·Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar	3
11	Exploring space syntax on entrepreneurial opportunities with Wi-Fi analytics 2016 ·Afra Mashhadi, Utku Günay Acer, Aidan Boran, Philipp Scholl, Claudio Forlivesi, (unknown), Fahim Kawsar	7
12	DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit 2016 ·Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar	29
13	Demo 2016 ·Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar	7
14	Capturing Personal and Crowd Behavior with Wi-Fi Analytics 2016 ·Utku Günay Acer, (unknown), (unknown), Aidan Boran, Claudio Forlivesi, Philipp Scholl, Fahim Kawsar	7
15	An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices 2015 ·Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar	146
16	Sensing WiFi network for personal IoT analytics 2015 ·Utku Günay Acer, Aidan Boran, Claudio Forlivesi, (unknown), Fernando Pérez‐Cruz, Fahim Kawsar	10
17	Energy Efficient Scheduling for Mobile Push Notifications 2015 ·EAI Endorsed Transactions on Energy Web ·Utku Günay Acer, Afra Mashhadi, Claudio Forlivesi, Fahim Kawsar	3

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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