Ozgur Yurur

403 total citations
10 papers, 286 citations indexed

About

Ozgur Yurur is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Ozgur Yurur has authored 10 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Networks and Communications and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Ozgur Yurur's work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Ozgur Yurur is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Ozgur Yurur collaborates with scholars based in United States, China and Canada. Ozgur Yurur's co-authors include Wilfrido Moreno, Chi Harold Liu, Victor C. M. Leung, Kin K. Leung, Zhengguo Sheng, Chi Liu, Miguel A. Labrador, Chen‐Hua Liu, Xue Liu and Chi Liu and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Communications Magazine and Sensors.

In The Last Decade

Ozgur Yurur

10 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ozgur Yurur United States	8	179	117	86	57	52	10	286
Dawud Gordon Germany	9	243 1.4×	118 1.0×	95 1.1×	42 0.7×	60 1.2×	21	325
Zahraa S. Abdallah United Kingdom	8	162 0.9×	87 0.7×	40 0.5×	48 0.8×	56 1.1×	20	361
Matthew Keally United States	10	125 0.7×	227 1.9×	154 1.8×	31 0.5×	38 0.7×	12	355
Stefan Dernbach United States	4	222 1.2×	97 0.8×	54 0.6×	11 0.2×	56 1.1×	4	279
Kaisen Lin United States	5	84 0.5×	165 1.4×	205 2.4×	66 1.2×	95 1.8×	6	334
Przemyslaw Woznowski United Kingdom	8	115 0.6×	95 0.8×	37 0.4×	21 0.4×	11 0.2×	20	229
Zhiyuan Xie Hong Kong	6	101 0.6×	64 0.5×	57 0.7×	32 0.6×	11 0.2×	8	300
Manhyung Han South Korea	9	201 1.1×	121 1.0×	38 0.4×	11 0.2×	46 0.9×	14	350
Ana B. García Spain	8	184 1.0×	159 1.4×	83 1.0×	7 0.1×	18 0.3×	25	342
Elmurod Talipov South Korea	11	76 0.4×	257 2.2×	199 2.3×	50 0.9×	187 3.6×	17	427

Countries citing papers authored by Ozgur Yurur

Since Specialization

Citations

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

Fields of papers citing papers by Ozgur Yurur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ozgur Yurur

This figure shows the co-authorship network connecting the top 25 collaborators of Ozgur Yurur. A scholar is included among the top collaborators of Ozgur Yurur 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 Ozgur Yurur. Ozgur Yurur 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:

10 of 10 papers shown

1.

Yurur, Ozgur, Chi Harold Liu, Zhengguo Sheng, et al.. (2015). Context-Awareness for Mobile Sensing: A Survey and Future Directions. IEEE Communications Surveys & Tutorials. 18(1). 68–93. 143 indexed citations

2.

Yurur, Ozgur, Chi Liu, & Wilfrido Moreno. (2015). Modeling Battery Behavior on Sensory Operations for Context-Aware Smartphone Sensing. Sensors. 15(6). 12323–12341. 8 indexed citations

3.

Yurur, Ozgur & Chi Harold Liu. (2015). Generic and Energy-Efficient Context-Aware Mobile Sensing. 5 indexed citations

4.

Yurur, Ozgur, Chi Harold Liu, & Wilfrido Moreno. (2015). Light-Weight Online Unsupervised Posture Detection by Smartphone Accelerometer. IEEE Internet of Things Journal. 2(4). 329–339. 17 indexed citations

5.

Yurur, Ozgur, Chi Liu, & Wilfrido Moreno. (2014). A survey of context-aware middleware designs for human activity recognition. IEEE Communications Magazine. 52(6). 24–31. 42 indexed citations

6.

Yurur, Ozgur, Chi Harold Liu, Charith Perera, et al.. (2014). Energy-Efficient and Context-Aware Smartphone Sensor Employment. IEEE Transactions on Vehicular Technology. 64(9). 4230–4244. 13 indexed citations

7.

Yurur, Ozgur. (2013). Energy Efficient Context-Aware Framework in Mobile Sensing. Digital Commons - University of South Florida (University of South Florida). 3 indexed citations

8.

Yurur, Ozgur, Chen‐Hua Liu, & Wilfrido Moreno. (2013). Unsupervised posture detection by smartphone accelerometer. Electronics Letters. 49(8). 562–564. 21 indexed citations

9.

Yurur, Ozgur, Chi Harold Liu, Xue Liu, & Wilfrido Moreno. (2013). Adaptive Sampling and Duty Cycling for Smartphone Accelerometer. 511–518. 8 indexed citations

10.

Yurur, Ozgur, Miguel A. Labrador, & Wilfrido Moreno. (2013). Adaptive and Energy Efficient Context Representation Framework in Mobile Sensing. IEEE Transactions on Mobile Computing. 13(8). 1681–1693. 26 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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