Petko Georgiev

7.0k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Petko Georgiev is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Petko Georgiev has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Petko Georgiev's work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (4 papers) and Speech and Audio Processing (4 papers). Petko Georgiev is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (4 papers) and Speech and Audio Processing (4 papers). Petko Georgiev collaborates with scholars based in United Kingdom, United States and Canada. Petko Georgiev's co-authors include Nicholas D. Lane, Lorena Qendro, Sourav Bhattacharya, Claudio Forlivesi, Fahim Kawsar, Cecilia Mascolo, Lei Jiao, Akhil Mathur, Kiran K. Rachuri and Anastasios Noulas and has published in prestigious journals such as IEEE Pervasive Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Apollo (University of Cambridge).

In The Last Decade

Petko Georgiev

16 papers receiving 1.1k 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 Petko Georgiev

Since Specialization

Citations

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

Fields of papers citing papers by Petko Georgiev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petko Georgiev

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	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
2	Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading 2017 ·Apollo (University of Cambridge) ·Petko Georgiev, Nicholas D. Lane, Cecilia Mascolo, David Chu	16
3	Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations 2017 ·Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies ·Petko Georgiev, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo	45
4	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
5	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
6	Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX 2016 ·Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar	3
7	LEO 2016 ·Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo	45
8	Demo 2016 ·Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar	7
9	Proceedings of the 2015 Workshop on Wireless of the Students, by the Students, & for the Students 2015 ·Puneet Jain, Petko Georgiev	1
10	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
11	Can Deep Learning Revolutionize Mobile Sensing? 2015 ·Nicholas D. Lane, Petko Georgiev	187
12	ZOE 2015 ·Apollo (University of Cambridge) ·Nicholas D. Lane, Petko Georgiev, Cecilia Mascolo, Ying Gao	15
13	DeepEar 2015 ·Apollo (University of Cambridge) ·Nicholas D. Lane, Petko Georgiev, Lorena Qendro	225
14	Energy Efficient and Fair Management of Sensing Applications on Heterogeneous Resource Mobile Devices 2015 ·Petko Georgiev	1
15	DSP.Ear 2014 ·Apollo (University of Cambridge) ·Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo	38
16	The Call of the Crowd: Event Participation in Location-Based Social Services 2014 ·Proceedings of the International AAAI Conference on Web and Social Media ·Petko Georgiev, Anastasios Noulas, Cecilia Mascolo	15

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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