Arash Akbarinia

526 total citations
21 papers, 308 citations indexed

About

Arash Akbarinia is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Arash Akbarinia has authored 21 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 10 papers in Atomic and Molecular Physics, and Optics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Arash Akbarinia's work include Visual perception and processing mechanisms (11 papers), Color Science and Applications (10 papers) and Color perception and design (8 papers). Arash Akbarinia is often cited by papers focused on Visual perception and processing mechanisms (11 papers), Color Science and Applications (10 papers) and Color perception and design (8 papers). Arash Akbarinia collaborates with scholars based in Germany, Spain and United States. Arash Akbarinia's co-authors include C. Alejandro Párraga, Karl R. Gegenfurtner, Ángel D. Sappa, Yaniv Morgenstern, Roland W. Fleming, Matteo Valsecchi, Heiko H. Schütt, Felix A. Wichmann, Matteo Toscani and Knut Drewing and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Arash Akbarinia

21 papers receiving 295 citations

Peers

Arash Akbarinia

CVPR

CN

AMPO

MT

SP

Seyed Ali Amirshahi Norway

Ramon Miró Baldrich Spain

L. Sharan United States

Ana Serrano Spain

Michael Stokes United States

Javier Vázquez-Corral Spain

David Alleysson France

Guowei Hong United Kingdom

Chang-Yeong Kim South Korea

Hsien-Che Lee United States

Seyed Ali Amirshahi Norway

Arash Akbarinia

222 ×1.2

CVPR

176 ×2.0

CN

107 ×1.2

AMPO

98 ×1.4

MT

100 ×1.5

SP

Citations per year, relative to Arash Akbarinia Arash Akbarinia (= 1×) peers Seyed Ali Amirshahi

Countries citing papers authored by Arash Akbarinia

Since Specialization

Citations

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

Fields of papers citing papers by Arash Akbarinia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arash Akbarinia

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

20 of 20 papers shown

1.

Akbarinia, Arash. (2024). Exploring the categorical nature of colour perception: Insights from artificial networks. Neural Networks. 181. 106758–106758. 1 indexed citations

2.

Akbarinia, Arash, Yaniv Morgenstern, & Karl R. Gegenfurtner. (2023). Contrast sensitivity function in deep networks. Neural Networks. 164. 228–244. 12 indexed citations

3.

Sappa, Ángel D., et al.. (2023). Dense extreme inception network for edge detection. Pattern Recognition. 139. 109461–109461. 67 indexed citations

4.

Akbarinia, Arash, et al.. (2023). Color and gloss constancy under diverse lighting environments. Journal of Vision. 23(7). 8–8. 2 indexed citations

5.

Akbarinia, Arash, et al.. (2022). Emergent color categorization in a neural network trained for object recognition. eLife. 11. 10 indexed citations

6.

Akbarinia, Arash, et al.. (2022). Deep neural models for color classification and color constancy. Journal of Vision. 22(4). 17–17. 20 indexed citations

7.

Toscani, Matteo, et al.. (2021). Deep neural network model of haptic saliency. Scientific Reports. 11(1). 1395–1395. 8 indexed citations

8.

Akbarinia, Arash, et al.. (2021). Color Conversion in Deep Autoencoders. 4(2). 20401–1. 7 indexed citations

9.

Akbarinia, Arash, Yaniv Morgenstern, & Karl R. Gegenfurtner. (2021). Contrast sensitivity is formed by visual experience and task demands. Journal of Vision. 21(9). 1996–1996. 3 indexed citations

10.

Akbarinia, Arash, et al.. (2020). Deciphering image contrast in object classification deep networks. Vision Research. 173. 61–76. 12 indexed citations

11.

Valsecchi, Matteo, et al.. (2020). Pedestrians Egocentric Vision: Individual and Collective Analysis. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–5. 6 indexed citations

12.

Akbarinia, Arash & Karl R. Gegenfurtner. (2018). Color metamerism and the structure of illuminant space. Journal of the Optical Society of America A. 35(4). B231–B231. 24 indexed citations

13.

Akbarinia, Arash & C. Alejandro Párraga. (2017). Colour Constancy Beyond the Classical Receptive Field. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(9). 2081–2094. 37 indexed citations

14.

Akbarinia, Arash & C. Alejandro Párraga. (2017). Feedback and Surround Modulated Boundary Detection. International Journal of Computer Vision. 126(12). 1367–1380. 55 indexed citations

15.

Akbarinia, Arash & Karl R. Gegenfurtner. (2017). Metameric Mismatching in Natural and Artificial Reflectances. Journal of Vision. 17(10). 390–390. 2 indexed citations

16.

Sappa, Ángel D., et al.. (2017). Multispectral single-sensor RGB-NIR imaging: New challenges and opportunities. 14 indexed citations

17.

Párraga, C. Alejandro & Arash Akbarinia. (2016). NICE: A Computational Solution to Close the Gap from Colour Perception to Colour Categorization. PLoS ONE. 11(3). e0149538–e0149538. 20 indexed citations

18.

Párraga, C. Alejandro & Arash Akbarinia. (2016). Colour constancy as a product of dynamic centre-surround adaptation.. Journal of Vision. 16(12). 214–214. 3 indexed citations

19.

Akbarinia, Arash, et al.. (2016). Biologically plausible boundary detection. 5.1–5.13. 3 indexed citations

20.

Akbarinia, Arash, et al.. (2011). Speech Recognition for Noisy Environments - Feasibility of Voice Command in Construction Settings. Gothenburg University Publications Electronic Archive (Gothenburg University). 1 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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