Cristina Segalin

467 total citations
11 papers, 240 citations indexed

About

Cristina Segalin is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Cristina Segalin has authored 11 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Cognitive Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Cristina Segalin's work include Aesthetic Perception and Analysis (4 papers), Visual Attention and Saliency Detection (4 papers) and Image Retrieval and Classification Techniques (4 papers). Cristina Segalin is often cited by papers focused on Aesthetic Perception and Analysis (4 papers), Visual Attention and Saliency Detection (4 papers) and Image Retrieval and Classification Techniques (4 papers). Cristina Segalin collaborates with scholars based in Italy, United States and United Kingdom. Cristina Segalin's co-authors include Marco Cristani, Alessandro Perina, Alessandro Vinciarelli, Dong Cheng, Sandrine R. Müller, Maarten W. Bos, Sandra Matz, David Stillwell, Vittorio Murino and Giorgio Roffo and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Journal of Consumer Psychology and Computer Vision and Image Understanding.

In The Last Decade

Cristina Segalin

11 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cristina Segalin Italy 7 81 70 49 47 44 11 240
Sophie J. Nightingale United Kingdom 7 154 1.9× 55 0.8× 12 0.2× 22 0.5× 80 1.8× 14 333
Nitesh Goyal United States 11 50 0.6× 78 1.1× 12 0.2× 25 0.5× 25 0.6× 23 264
Noah Schaffer 3 55 0.7× 67 1.0× 17 0.3× 14 0.3× 22 0.5× 3 302
Bruce Phillips United States 6 67 0.8× 81 1.2× 33 0.7× 22 0.5× 10 0.2× 8 332
Yash Mehta United Kingdom 4 23 0.3× 134 1.9× 137 2.8× 30 0.6× 13 0.3× 6 318
Joseph Osborn United States 9 42 0.5× 121 1.7× 24 0.5× 20 0.4× 10 0.2× 34 279
Christoffer Holmgård Denmark 10 37 0.5× 144 2.1× 32 0.7× 8 0.2× 11 0.3× 22 251
Alaa Alslaity Canada 8 19 0.2× 57 0.8× 16 0.3× 22 0.5× 15 0.3× 26 200
Andrew M. Demetriou Netherlands 7 39 0.5× 40 0.6× 31 0.6× 7 0.1× 33 0.8× 13 208
Jihyun Park South Korea 7 17 0.2× 34 0.5× 34 0.7× 37 0.8× 10 0.2× 56 235

Countries citing papers authored by Cristina Segalin

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Segalin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Segalin

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

All Works

11 of 11 papers shown
1.
Segalin, Cristina, et al.. (2022). Estimating Structural Disparities for Face Models. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 39. 10348–10357. 1 indexed citations
2.
Matz, Sandra, Cristina Segalin, David Stillwell, Sandrine R. Müller, & Maarten W. Bos. (2019). Predicting the Personal Appeal of Marketing Images Using Computational Methods. Journal of Consumer Psychology. 29(3). 370–390. 45 indexed citations
3.
Kennedy, James, et al.. (2019). Smile Intensity Detection in Multiparty Interaction using Deep Learning. 2. 168–174. 2 indexed citations
4.
Segalin, Cristina, Dong Cheng, & Marco Cristani. (2016). Social profiling through image understanding: Personality inference using convolutional neural networks. Computer Vision and Image Understanding. 156. 34–50. 41 indexed citations
5.
Segalin, Cristina, Alessandro Perina, & Marco Cristani. (2014). Personal Aesthetics for Soft Biometrics. 180–187. 11 indexed citations
6.
Bicego, Manuele, et al.. (2014). Faved! Biometrics: Tell Me Which Image You Like and I'll Tell You Who You Are. IEEE Transactions on Information Forensics and Security. 9(3). 364–374. 37 indexed citations
7.
Segalin, Cristina, Alessandro Perina, & Marco Cristani. (2014). Biometrics on visual preferences: A “pump and distill” regression approach. 4982–4986. 3 indexed citations
8.
Perina, Alessandro, et al.. (2013). We like it! Mapping image preferences on the counting grid. Institutional Research Information System (Università degli Studi di Trento). 2892–2896. 6 indexed citations
9.
Cristani, Marco, Alessandro Vinciarelli, Cristina Segalin, & Alessandro Perina. (2013). Unveiling the multimedia unconscious. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 213–222. 57 indexed citations
10.
Roffo, Giorgio, Cristina Segalin, Alessandro Vinciarelli, Vittorio Murino, & Marco Cristani. (2013). Reading between the turns: Statistical modeling for identity recognition and verification in chats. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 99–104. 13 indexed citations
11.
Cristani, Marco, Giorgio Roffo, Cristina Segalin, et al.. (2012). Conversationally-inspired stylometric features for authorship attribution in instant messaging. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1121–1124. 24 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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