Michael Reale

2.2k total citations · 1 hit paper
25 papers, 1.5k citations indexed

About

Michael Reale is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael Reale has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Human-Computer Interaction and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael Reale's work include Face recognition and analysis (11 papers), Gaze Tracking and Assistive Technology (7 papers) and Emotion and Mood Recognition (6 papers). Michael Reale is often cited by papers focused on Face recognition and analysis (11 papers), Gaze Tracking and Assistive Technology (7 papers) and Emotion and Mood Recognition (6 papers). Michael Reale collaborates with scholars based in United States and Canada. Michael Reale's co-authors include Lijun Yin, Shaun Canavan, Jeffrey F. Cohn, Xing Zhang, Jeffrey M. Girard, Yi Sun, Xiaochen Chen, Peng Liu, Peng Liu and Qiang Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Cybernetics and Additive manufacturing.

In The Last Decade

Michael Reale

24 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database

2014 461 citations Xing Zhang, Lijun Yin et al. Image and Vision Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Reale United States	11	993	728	286	222	170	25	1.5k
Shaun Canavan United States	13	734 0.7×	680 0.9×	346 1.2×	217 1.0×	161 0.9×	53	1.3k
Vahid Kazemi Sweden	5	1.4k 1.4×	367 0.5×	135 0.5×	219 1.0×	430 2.5×	5	1.8k
Brais Martínez United Kingdom	18	936 0.9×	481 0.7×	151 0.5×	103 0.5×	262 1.5×	37	1.3k
Akshay Asthana Australia	13	1.2k 1.2×	345 0.5×	81 0.3×	88 0.4×	341 2.0×	27	1.4k
Stamos Katsigiannis United Kingdom	15	197 0.2×	608 0.8×	710 2.5×	148 0.7×	132 0.8×	49	1.3k
Pablo Barros Germany	18	506 0.5×	359 0.5×	138 0.5×	179 0.8×	89 0.5×	58	1.0k
Stylianos Asteriadis Netherlands	18	492 0.5×	243 0.3×	130 0.5×	275 1.2×	127 0.7×	66	1.0k
O.V. Ramana Murthy India	16	499 0.5×	369 0.5×	148 0.5×	54 0.2×	59 0.3×	58	929
Çiğdem Eroğlu Erdem Türkiye	17	676 0.7×	295 0.4×	76 0.3×	46 0.2×	323 1.9×	63	1.0k
Ognjen Rudovic United States	17	726 0.7×	571 0.8×	196 0.7×	87 0.4×	114 0.7×	45	1.1k

Countries citing papers authored by Michael Reale

Since Specialization

Citations

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

Fields of papers citing papers by Michael Reale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Reale

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Reale. A scholar is included among the top collaborators of Michael Reale 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 Michael Reale. Michael Reale 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.

Ho, I‐Ting, et al.. (2024). Non-destructive evaluation of additively manufactured superalloy IN718 via integrating microfocus X-ray computed tomography and non-linear acoustics. Additive manufacturing. 96. 104539–104539. 2 indexed citations

2.

Reale, Michael, et al.. (2024). Video modification in drone and satellite imagery. 41–41. 1 indexed citations

3.

Reale, Michael, et al.. (2022). Generative Adversarial Networks for Vehicle Transformation in Overhead and Satellite Imagery. 1–13. 1 indexed citations

4.

Reale, Michael, et al.. (2022). Solar Flare Prediction with Recurrent Neural Networks. The Journal of the Astronautical Sciences. 69(5). 1421–1440. 1 indexed citations

5.

Reale, Michael, et al.. (2020). Shape and Texture Aware Graph Processing. 1–18.

6.

Berardi, Vincent, et al.. (2020). Faces extracted from Time Magazine 1923-2014. SHILAP Revista de lepidopterología. 5(1). 2 indexed citations

7.

Reale, Michael, et al.. (2019). Facial Action Unit Analysis through 3D Point Cloud Neural Networks. 1–8. 6 indexed citations

8.

Zhang, Zheng, Jeffrey M. Girard, Yue Wu, et al.. (2016). Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis. 3438–3446. 286 indexed citations

9.

Zhang, Xing, Lijun Yin, Jeffrey F. Cohn, et al.. (2014). BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database. Image and Vision Computing. 32(10). 692–706. 461 indexed citations breakdown →

10.

Reale, Michael, Peng Liu, Lijun Yin, & Shaun Canavan. (2013). Art Critic: Multisignal Vision and Speech Interaction System in a Gaming Context. IEEE Transactions on Cybernetics. 43(6). 1546–1559. 6 indexed citations

11.

Větvička, Václav, Miroslav Novák, Dalia Akramienė, et al.. (2013). Beta-glucan, Structure, Chemistry and Specific Application. 5 indexed citations

12.

Zhang, Xing, Lijun Yin, Jeffrey F. Cohn, et al.. (2013). A high-resolution spontaneous 3D dynamic facial expression database. 1–6. 167 indexed citations

13.

Reale, Michael, Xing Zhang, & Lijun Yin. (2013). Nebula feature: A space-time feature for posed and spontaneous 4D facial behavior analysis. 1–8. 42 indexed citations

14.

Liu, Peng, Michael Reale, & Lijun Yin. (2012). 3D Head Pose Estimation Based on Scene Flow and Generic Head Model. 2. 794–799. 13 indexed citations

15.

Reale, Michael, et al.. (2011). A Multi-Gesture Interaction System Using a 3-D Iris Disk Model for Gaze Estimation and an Active Appearance Model for 3-D Hand Pointing. IEEE Transactions on Multimedia. 13(3). 474–486. 62 indexed citations

16.

Reale, Michael, Peng Liu, & Lijun Yin. (2011). Using eye gaze, head pose, and facial expression for personalized non-player character interaction. 13–18. 10 indexed citations

17.

Canavan, Shaun, et al.. (2010). Evaluation of Multi-frame Fusion Based Face Classification Under Shadow. 1265–1268. 3 indexed citations

18.

Sun, Yi, Michael Reale, & Lijun Yin. (2008). Recognizing partial facial action units based on 3D dynamic range data for facial expression recognition. 1–8. 37 indexed citations

19.

Yin, Lijun, et al.. (2008). A high-resolution 3D dynamic facial expression database. 1–6. 324 indexed citations

20.

Dawson, Robin M. A., et al.. (2002). <title>Deep-UV-sensitive high-frame-rate backside-illuminated CCD camera developments</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4669. 184–192. 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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