Huber Flores

1.4k total citations
86 papers, 972 citations indexed

About

Huber Flores is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Huber Flores has authored 86 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Networks and Communications, 24 papers in Computer Vision and Pattern Recognition and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Huber Flores's work include IoT and Edge/Fog Computing (35 papers), Context-Aware Activity Recognition Systems (18 papers) and Green IT and Sustainability (16 papers). Huber Flores is often cited by papers focused on IoT and Edge/Fog Computing (35 papers), Context-Aware Activity Recognition Systems (18 papers) and Green IT and Sustainability (16 papers). Huber Flores collaborates with scholars based in Finland, Estonia and Hong Kong. Huber Flores's co-authors include Satish Narayana Srirama, Sasu Tarkoma, Pan Hui, Petteri Nurmi, Yong Li, Rajkumar Buyya, Vassilis Kostakos, Eemil Lagerspetz, Denzil Ferreira and Jukka Manner and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and Computer.

In The Last Decade

Huber Flores

75 papers receiving 954 citations

Peers

Huber Flores
Huber Flores
Citations per year, relative to Huber Flores Huber Flores (= 1×) peers Yongchao Zhang

Countries citing papers authored by Huber Flores

Since Specialization
Citations

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

Fields of papers citing papers by Huber Flores

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huber Flores

This figure shows the co-authorship network connecting the top 25 collaborators of Huber Flores. A scholar is included among the top collaborators of Huber Flores 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 Huber Flores. Huber Flores 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.
Nurmi, Petteri, et al.. (2025). SpikEy: Preventing Drink Spiking using Wearables. 78–86.
2.
Nurmi, Petteri, et al.. (2025). ContextLLM: Meaningful Context Reasoning from Multi-Sensor and Multi-Device Data Using LLMs. 13–18. 2 indexed citations
4.
Motlagh, Naser Hossein, et al.. (2024). Low-Cost Sensing for Environmental Sustainability. IEEE Pervasive Computing. 23(4). 76–86.
5.
Motlagh, Naser Hossein, Huber Flores, Jiangtao Wang, et al.. (2024). Population Digital Health: Continuous Health Monitoring and Profiling at Scale. SHILAP Revista de lepidopterología. 16. e60261–e60261. 2 indexed citations
6.
Flores, Huber, et al.. (2024). Life is Plastic? Detecting the Presence of Micro-Plastics in Food and Drink Containers. 93–98. 1 indexed citations
7.
Flores, Huber. (2024). The Role of Micromobility in Environmental Monitoring: Reflections and Opportunities on the Use of Pervasive Sensing. IEEE Pervasive Computing. 23(2). 18–26. 1 indexed citations
8.
Flores, Huber, et al.. (2024). Man and the Machine: Effects of AI-assisted Human Labeling on Interactive Annotation of Real-time Video Streams. ACM Transactions on Interactive Intelligent Systems. 14(2). 1–22. 1 indexed citations
9.
Nurmi, Petteri, et al.. (2024). Smart Plants on Wheels: Enhancing Indoor Productivity Using Smart Plants and Autonomous Ground Drones. IEEE Pervasive Computing. 23(3). 31–38.
10.
Tarkoma, Sasu, Pan Hui, Hyowon Lee, et al.. (2023). The Price is Right? The Economic Value of Sharing Sensors. IEEE Transactions on Computational Social Systems. 11(3). 3468–3482.
11.
Flores, Huber, et al.. (2023). Lost in the Deep?. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(2). 1–27. 2 indexed citations
13.
Motlagh, Naser Hossein, et al.. (2022). Toward Blue Skies: City-Scale Air Pollution Monitoring Using UAVs. IEEE Consumer Electronics Magazine. 12(1). 21–31. 9 indexed citations
14.
Motlagh, Naser Hossein, et al.. (2022). See No Evil: Discovering Covert Surveillance Devices Using Thermal Imaging. IEEE Pervasive Computing. 21(4). 33–42. 6 indexed citations
15.
Motlagh, Naser Hossein, et al.. (2022). Smart Plants: Low-Cost Solution for Monitoring Indoor Environments. IEEE Internet of Things Journal. 9(22). 23252–23259. 9 indexed citations
16.
Pridmore, Jason, et al.. (2022). Social-Aware Federated Learning: Challenges and Opportunities in Collaborative Data Training. IEEE Internet Computing. 27(2). 36–44. 8 indexed citations
17.
Nurmi, Petteri, et al.. (2022). HIPPO. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 6(4). 1–30.
18.
Sharma, Rajesh, et al.. (2022). The MIDAS touch: Thermal dissipation resulting from everyday interactions as a sensing modality. Pervasive and Mobile Computing. 84. 101625–101625. 3 indexed citations
19.
Kosta, Sokol, et al.. (2022). Upscaling Fog Computing in Oceans for Underwater Pervasive Data Science Using Low-Cost Micro-Clouds. Työväentutkimus Vuosikirja. 4(2). 1–29. 6 indexed citations
20.
Flores, Huber, et al.. (2021). Ripe or Rotten? Low-Cost Produce Quality Estimation Using Reflective Green Light Sensing. IEEE Pervasive Computing. 20(3). 60–67. 8 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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