Gianluca Donato

1.4k total citations · 1 hit paper
7 papers, 799 citations indexed

About

Gianluca Donato is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Gianluca Donato has authored 7 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Information Systems. Recurrent topics in Gianluca Donato's work include Blind Source Separation Techniques (3 papers), Face and Expression Recognition (3 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Gianluca Donato is often cited by papers focused on Blind Source Separation Techniques (3 papers), Face and Expression Recognition (3 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Gianluca Donato collaborates with scholars based in United States. Gianluca Donato's co-authors include Terrence J. Sejnowski, Paul Ekman, Joseph C. Hager, Marian Stewart Bartlett, Serge Belongie, David Ahn, Feng Pan, Javier R. Movellan, Allan Astrup Jensen and Evans Kituyi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Gianluca Donato

7 papers receiving 697 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.

Classifying facial actions

1999 680 citations Gianluca Donato, Marian Stewart Bartlett et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gianluca Donato United States	6	593	356	142	129	92	7	799
Çiğdem Eroğlu Erdem Türkiye	17	676 1.1×	295 0.8×	323 2.3×	149 1.2×	76 0.8×	63	1.0k
S L Happy India	10	559 0.9×	528 1.5×	60 0.4×	104 0.8×	76 0.8×	17	771
Kishore Konda Germany	6	440 0.7×	342 1.0×	90 0.6×	159 1.2×	80 0.9×	9	685
O.V. Ramana Murthy India	16	499 0.8×	369 1.0×	59 0.4×	156 1.2×	148 1.6×	58	929
Dimitrios Kollias United Kingdom	15	447 0.8×	476 1.3×	122 0.9×	252 2.0×	110 1.2×	40	1.0k
Umur Aybars Çiftçi United States	6	725 1.2×	410 1.2×	96 0.7×	195 1.5×	125 1.4×	12	1.0k
Tanaya Guha United Kingdom	15	509 0.9×	163 0.5×	111 0.8×	241 1.9×	150 1.6×	53	865
Igor S. Pandžić Croatia	14	519 0.9×	129 0.4×	154 1.1×	131 1.0×	52 0.6×	42	810
Anh Cat Le Ngo Malaysia	11	300 0.5×	294 0.8×	72 0.5×	89 0.7×	62 0.7×	15	469

Countries citing papers authored by Gianluca Donato

Since Specialization

Citations

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

Fields of papers citing papers by Gianluca Donato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Donato

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

All Works

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7 of 7 papers shown

1.

Pan, Feng, et al.. (2011). Greedy and Randomized Feature Selection for Web Search Ranking. 3. 436–442. 4 indexed citations

2.

Pan, Feng, et al.. (2009). Feature selection for ranking using boosted trees. 2025–2028. 47 indexed citations

3.

Jensen, Allan Astrup, Paolo Frankl, Evans Kituyi, et al.. (2003). Draft final report of the LCM definition study. 1. 7 indexed citations

4.

Donato, Gianluca & Serge Belongie. (2002). Approximation Methods for Thin Plate Spline Mappings and Principal Warps. 23 indexed citations

5.

Donato, Gianluca, Marian Stewart Bartlett, Joseph C. Hager, Paul Ekman, & Terrence J. Sejnowski. (1999). Classifying facial actions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 21(10). 974–989. 680 indexed citations breakdown →

6.

Bartlett, Marian Stewart, Gianluca Donato, Javier R. Movellan, et al.. (1999). Face image analysis for expression measurement and detection of deceit. 23 indexed citations

7.

Bartlett, Marian Stewart, Gianluca Donato, Javier R. Movellan, et al.. (1999). Image Representations for Facial Expression Coding. 12. 886–892. 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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