Emin Zerman

707 total citations
32 papers, 384 citations indexed

About

Emin Zerman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction. According to data from OpenAlex, Emin Zerman has authored 32 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 5 papers in Human-Computer Interaction. Recurrent topics in Emin Zerman's work include Image and Video Quality Assessment (18 papers), Advanced Image Processing Techniques (9 papers) and Advanced Vision and Imaging (8 papers). Emin Zerman is often cited by papers focused on Image and Video Quality Assessment (18 papers), Advanced Image Processing Techniques (9 papers) and Advanced Vision and Imaging (8 papers). Emin Zerman collaborates with scholars based in Ireland, France and Türkiye. Emin Zerman's co-authors include Aljoša Smolić, Cagri Ozcinar, Giuseppe Valenzise, Pan Gao, Fréderic Dufaux, Rafał Mantiuk, Vedad Hulusić, María Pérez‐Ortiz, Gareth W. Young and Martin Alain and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.

In The Last Decade

Emin Zerman

29 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emin Zerman Ireland 12 305 84 73 54 50 32 384
Evgeniy Upenik Switzerland 8 289 0.9× 45 0.5× 40 0.5× 63 1.2× 6 0.1× 18 344
Shishir Subramanyam Netherlands 9 238 0.8× 89 1.1× 92 1.3× 97 1.8× 3 0.1× 20 325
Bastian Goldlücke Germany 9 344 1.1× 66 0.8× 29 0.4× 10 0.2× 7 0.1× 14 405
Patrick Gioia France 11 244 0.8× 81 1.0× 21 0.3× 26 0.5× 162 3.2× 38 353
Daniel Erickson United States 7 323 1.1× 175 2.1× 56 0.8× 17 0.3× 5 0.1× 9 350
Shuangjiu Xiao China 9 164 0.5× 44 0.5× 22 0.3× 42 0.8× 11 0.2× 42 224
YiChang Shih United States 9 613 2.0× 125 1.5× 40 0.5× 9 0.2× 24 0.5× 13 663
George Borshukov United States 8 211 0.7× 149 1.8× 167 2.3× 11 0.2× 11 0.2× 15 292
André Redert Netherlands 9 352 1.2× 46 0.5× 5 0.1× 30 0.6× 15 0.3× 25 410
Marco V. Bernardo Portugal 9 288 0.9× 51 0.6× 48 0.7× 3 0.1× 105 2.1× 29 352

Countries citing papers authored by Emin Zerman

Since Specialization
Citations

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

Fields of papers citing papers by Emin Zerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emin Zerman

This figure shows the co-authorship network connecting the top 25 collaborators of Emin Zerman. A scholar is included among the top collaborators of Emin Zerman 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 Emin Zerman. Emin Zerman 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.
Zerman, Emin, et al.. (2024). A Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications. Publications (Mid Sweden University). 200–206.
2.
Zerman, Emin, et al.. (2024). A Toolkit to Benchmark Point Cloud Quality Metrics with Multi-Track Evaluation Criteria. Publications (Mid Sweden University). 117–123. 2 indexed citations
3.
Zerman, Emin, et al.. (2024). BASICS: Broad Quality Assessment of Static Point Clouds in a Compression Scenario. IEEE Transactions on Multimedia. 26. 6730–6742. 27 indexed citations
5.
Zerman, Emin, et al.. (2021). Focus Guided Light Field Saliency Estimation. 2 indexed citations
6.
Zerman, Emin, et al.. (2021). User Behaviour Analysis of Volumetric Video in Augmented Reality. 129–132. 9 indexed citations
7.
Zerman, Emin, Cagri Ozcinar, Pan Gao, & Aljoša Smolić. (2020). Textured Mesh vs Coloured Point Cloud: A Subjective Study for Volumetric Video Compression. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 1–6. 56 indexed citations
8.
Zerman, Emin, et al.. (2020). A Case Study on the Use of Volumetric Video in Augmented Reality for Cultural Heritage. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 1–5. 12 indexed citations
9.
Pendu, Mikaël Le, et al.. (2020). High Quality Light Field Extraction and Post-Processing for Raw Plenoptic Data. IEEE Transactions on Image Processing. 29. 4188–4203. 14 indexed citations
10.
Alain, Martin, Emin Zerman, & Cagri Ozcinar. (2020). Immersive Imaging Technologies: From Capture to Display. Arrow@dit (Dublin Institute of Technology). 4787–4788. 1 indexed citations
11.
Pérez‐Ortiz, María, et al.. (2019). From Pairwise Comparisons and Rating to a Unified Quality Scale. IEEE Transactions on Image Processing. 29. 1139–1151. 46 indexed citations
12.
Zerman, Emin, Pan Gao, Cagri Ozcinar, & Aljoša Smolić. (2019). Subjective and Objective Quality Assessment for Volumetric Video Compression. Electronic Imaging. 31(10). 323–1. 49 indexed citations
13.
Zerman, Emin, Giuseppe Valenzise, & Fréderic Dufaux. (2017). An extensive performance evaluation of full-reference HDR image quality metrics. SPIRE - Sciences Po Institutional REpository. 2(1). 40 indexed citations
14.
Déforges, Olivier, et al.. (2017). An adaptive perceptual quantization method for HDR video coding. HAL (Le Centre pour la Communication Scientifique Directe). 1027–1031. 4 indexed citations
15.
Zerman, Emin, et al.. (2016). Video content analysis method for audiovisual quality assessment. 1–6. 4 indexed citations
16.
Zerman, Emin, et al.. (2015). Content aware audiovisual quality assessment. 966–969. 2 indexed citations
17.
Zerman, Emin, et al.. (2014). A parametric video quality model based on source and network characteristics. 2. 595–599. 1 indexed citations
18.
Zerman, Emin, et al.. (2014). Circular target detection algorithm on satellite images based on radial transformation. 15. 1790–1793. 3 indexed citations
19.
Zerman, Emin, et al.. (2013). A spatiotemporal no-reference video quality assessment model. OpenMETU (Middle East Technical University). 54–58. 15 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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