Мириам Реди

971 total citations
47 papers, 368 citations indexed

About

Мириам Реди is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Communication. According to data from OpenAlex, Мириам Реди has authored 47 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 9 papers in Communication. Recurrent topics in Мириам Реди's work include Advanced Image and Video Retrieval Techniques (17 papers), Image Retrieval and Classification Techniques (17 papers) and Visual Attention and Saliency Detection (10 papers). Мириам Реди is often cited by papers focused on Advanced Image and Video Retrieval Techniques (17 papers), Image Retrieval and Classification Techniques (17 papers) and Visual Attention and Saliency Detection (10 papers). Мириам Реди collaborates with scholars based in United Kingdom, United States and France. Мириам Реди's co-authors include Rossano Schifanella, Bernard Mérialdo, Alejandro Jaimes, Luca Maria Aiello, Yale Song, Alejandro Jaimes, Daniele Quercia, Neil O’Hare, Michele Trevisiol and Gaurav Aggarwal and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Knowledge and Data Engineering and IEEE Computer Graphics and Applications.

In The Last Decade

Мириам Реди

44 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Мириам Реди United Kingdom	12	184	94	53	50	41	47	368
Souneil Park Spain	11	189 1.0×	125 1.3×	94 1.8×	155 3.1×	16 0.4×	26	602
Florian Windhager Austria	9	211 1.1×	91 1.0×	14 0.3×	39 0.8×	23 0.6×	42	390
Stefan Jänicke Germany	12	316 1.7×	166 1.8×	13 0.2×	55 1.1×	42 1.0×	58	560
Jakub Šimko Slovakia	9	39 0.2×	89 0.9×	18 0.3×	65 1.3×	34 0.8×	31	221
Alireza Karduni United States	9	100 0.5×	77 0.8×	27 0.5×	66 1.3×	11 0.3×	21	305
Siamak Faridani United States	7	49 0.3×	104 1.1×	55 1.0×	59 1.2×	14 0.3×	10	324
Ian Muehlenhaus United States	10	135 0.7×	31 0.3×	15 0.3×	53 1.1×	9 0.2×	19	373
Paolo Ciuccarelli Italy	7	65 0.4×	37 0.4×	14 0.3×	49 1.0×	11 0.3×	41	207
Jamie O’Brien United States	6	117 0.6×	51 0.5×	6 0.1×	19 0.4×	19 0.5×	21	288
Xinhuan Shu China	12	321 1.7×	116 1.2×	4 0.1×	60 1.2×	14 0.3×	22	440

Countries citing papers authored by Мириам Реди

Since Specialization

Citations

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

Fields of papers citing papers by Мириам Реди

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Мириам Реди

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

All Works

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20 of 20 papers shown

Johnson, Isaac, et al.. (2024). Wikimedia data for AI: a review of Wikimedia datasets for NLP tasks and AI-assisted editing. arXiv (Cornell University).

Yang, Jheng-Hong, Carlos Lassance, Rafael Sampaio de Rezende, et al.. (2023). AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. 2975–2984. 2 indexed citations

Реди, Мириам, et al.. (2022). Wiki Loves Monuments: Crowdsourcing the Collective Image of the Worldwide Built Heritage. Journal on Computing and Cultural Heritage. 16(1). 1–27. 3 indexed citations

Реди, Мириам, et al.. (2022). A large scale study of reader interactions with images on Wikipedia. EPJ Data Science. 11(1). 6 indexed citations

Реди, Мириам, et al.. (2020). Quantifying Engagement with Citations on Wikipedia. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 19 indexed citations

Joglekar, Sagar, et al.. (2020). FaceLift: a transparent deep learning framework to beautify urban scenes. Royal Society Open Science. 7(1). 190987–190987. 16 indexed citations

Реди, Мириам & Xavier Alameda-Pineda. (2019). Opinion column: Fairness, accountability and transparency (in multimedia). 11(3). 1–1.

Реди, Мириам, Luca Maria Aiello, Rossano Schifanella, & Daniele Quercia. (2018). The Spirit of the City. Proceedings of the ACM on Human-Computer Interaction. 2(CSCW). 1–18. 20 indexed citations

Bron, Marc, et al.. (2017). Friendly, Appealing or Both?. IRIS Research product catalog (Sapienza University of Rome). 699–707. 1 indexed citations

10.

Alameda-Pineda, Xavier, Мириам Реди, Mohammad Soleymani, et al.. (2017). MUSA2. SPIRE - Sciences Po Institutional REpository. 1974–1975. 2 indexed citations

11.

Song, Yale, et al.. (2016). To Click or Not To Click. 659–668. 50 indexed citations

12.

Schifanella, Rossano, Мириам Реди, & Luca Maria Aiello. (2015). An Image Is Worth More than a Thousand Favorites: Surfacing the Hidden \nBeauty of Flickr Pictures. Institutional Research Information System University of Turin (University of Turin). 14 indexed citations

13.

Реди, Мириам & Bernard Mérialdo. (2013). Direct modeling of image keypoints distribution through copula-based image signatures. 183–190. 2 indexed citations

14.

Реди, Мириам & Bernard Mérialdo. (2012). Fitting Gaussian copulae for efficient visual codebooks generation. 8. 1–6. 1 indexed citations

15.

Реди, Мириам & Bernard Mérialdo. (2012). Where is the beauty?. 1363–1364. 14 indexed citations

16.

Реди, Мириам, et al.. (2011). EURECOM at TRECVID 2011: The light semantic indexing task. Graduate School and Research Center in Digital Science (EURECOM). 4 indexed citations

17.

Реди, Мириам & Bernard Mérialdo. (2011). Marginal-based visual alphabets for local image descriptors aggregation. 1. 1429–1432. 5 indexed citations

18.

Реди, Мириам & Bernard Mérialdo. (2011). Saliency moments for image categorization. 1–8. 10 indexed citations

19.

Реди, Мириам & Bernard Mérialdo. (2011). Saliency-aware color moments features for image categorization and retrieval. 2420. 199–204. 1 indexed citations

20.

Реди, Мириам. (2010). EURECOM and ECNU at TrecVid 2010 : The semantic indexing task. Graduate School and Research Center in Digital Science (EURECOM). 2 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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