Roxana Mihăescu

465 total citations
9 papers, 302 citations indexed

About

Roxana Mihăescu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Roxana Mihăescu has authored 9 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Roxana Mihăescu's work include Advanced Neural Network Applications (3 papers), Music and Audio Processing (2 papers) and Speech Recognition and Synthesis (2 papers). Roxana Mihăescu is often cited by papers focused on Advanced Neural Network Applications (3 papers), Music and Audio Processing (2 papers) and Speech Recognition and Synthesis (2 papers). Roxana Mihăescu collaborates with scholars based in Romania, United States and Canada. Roxana Mihăescu's co-authors include André Adami, J. Godfrey, D.A. Reynolds, Douglas A. Jones, Jessica K. Campbell, Josh Abramson, W.D. Andrews, Jiří Navrátil, Barbara Peskin and Qin Jin and has published in prestigious journals such as Mathematics and 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

In The Last Decade

Roxana Mihăescu

8 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roxana Mihăescu Romania	6	245	217	49	30	12	9	302
Kyu J. Han United States	12	371 1.5×	311 1.4×	44 0.9×	50 1.7×	11 0.9×	38	456
Suwon Shon United States	13	372 1.5×	278 1.3×	52 1.1×	28 0.9×	5 0.4×	35	478
Tanel Alumäe Estonia	11	427 1.7×	118 0.5×	46 0.9×	19 0.6×	10 0.8×	49	484
Zhongxin Bai China	6	254 1.0×	219 1.0×	39 0.8×	9 0.3×	9 0.8×	10	320
Yushi Aono Japan	11	271 1.1×	144 0.7×	42 0.9×	73 2.4×	8 0.7×	43	338
Masami Akamine Japan	11	321 1.3×	297 1.4×	52 1.1×	45 1.5×	6 0.5×	45	387
Zhendong Peng China	8	269 1.1×	197 0.9×	29 0.6×	16 0.5×	15 1.3×	13	326
Josef Psutka Czechia	11	385 1.6×	187 0.9×	52 1.1×	34 1.1×	8 0.7×	54	457
Anton Ragni United Kingdom	17	688 2.8×	405 1.9×	36 0.7×	27 0.9×	11 0.9×	50	739

Countries citing papers authored by Roxana Mihăescu

Since Specialization

Citations

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

Fields of papers citing papers by Roxana Mihăescu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roxana Mihăescu

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

All Works

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9 of 9 papers shown

1.

Mihăescu, Roxana, et al.. (2023). Real-Time Detection of Unrecognized Objects in Logistics Warehouses Using Semantic Segmentation. Mathematics. 11(11). 2445–2445. 2 indexed citations

2.

Ghenescu, V., et al.. (2019). GDPR compliance in Video Surveillance and Video Processing Application. 1–6. 11 indexed citations

3.

Mihăescu, Roxana, et al.. (2019). Complete Visualisation, Network Modeling and Training, Web Based Tool, for the Yolo Deep Neural Network Model in the Darknet Framework. 517–523. 6 indexed citations

4.

Ghenescu, V., et al.. (2019). Accurate data identification in low signal-to-noise ratio series. 1–5. 1 indexed citations

5.

Ghenescu, V., et al.. (2018). Salt and Pepper Noise Removal by Combining Genetic Algorithms - Neural Networks and Statistical Methods. 42. 147–150. 1 indexed citations

6.

Ghenescu, V., et al.. (2018). Face Detection and Recognition Based on General Purpose DNN Object Detector. 1–4. 14 indexed citations

7.

Ghenescu, V., et al.. (2018). Object Recognition on Long Range Thermal Image Using State of the Art DNN. 2. 1–4. 13 indexed citations

8.

Reynolds, D.A., W.D. Andrews, Jessica K. Campbell, et al.. (2004). The SuperSID project: exploiting high-level information for high-accuracy speaker recognition. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 4. IV–784. 142 indexed citations

9.

Adami, André, Roxana Mihăescu, D.A. Reynolds, & J. Godfrey. (2004). Modeling prosodic dynamics for speaker recognition. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 4. IV–788. 112 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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