Anderson Rocha

8.0k total citations
206 papers, 4.8k citations indexed

About

Anderson Rocha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Anderson Rocha has authored 206 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Computer Vision and Pattern Recognition, 55 papers in Artificial Intelligence and 28 papers in Signal Processing. Recurrent topics in Anderson Rocha's work include Digital Media Forensic Detection (52 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Anomaly Detection Techniques and Applications (26 papers). Anderson Rocha is often cited by papers focused on Digital Media Forensic Detection (52 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Anomaly Detection Techniques and Applications (26 papers). Anderson Rocha collaborates with scholars based in Brazil, United States and Italy. Anderson Rocha's co-authors include Siome Goldenstein, Jacques Wainer, Hélio Pedrini, William Robson Schwartz, Walter J. Scheirer, Allan Pinto, Terrance E. Boult, Zanoni Dias, Ramon Pires and Anselmo Ferreira 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

Anderson Rocha

187 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anderson Rocha Brazil 36 3.0k 1.2k 1.2k 521 411 206 4.8k
Munish Kumar India 38 2.9k 1.0× 649 0.5× 1.2k 1.1× 425 0.8× 357 0.9× 197 5.6k
Alessandra Lumini Italy 38 2.6k 0.9× 1.6k 1.3× 1.0k 0.9× 884 1.7× 212 0.5× 190 5.7k
Weihong Deng China 41 7.0k 2.4× 1.9k 1.6× 2.3k 2.0× 252 0.5× 413 1.0× 174 9.6k
Jason Yosinski United States 13 1.9k 0.6× 392 0.3× 2.3k 2.0× 130 0.2× 308 0.7× 25 4.7k
Ahmed Bouridane United Kingdom 35 3.1k 1.0× 1.2k 1.0× 1.4k 1.2× 436 0.8× 322 0.8× 426 5.4k
Gongping Yang China 28 1.2k 0.4× 1.4k 1.2× 409 0.4× 289 0.6× 417 1.0× 136 3.0k
Michele Nappi Italy 33 2.2k 0.8× 1.3k 1.1× 801 0.7× 758 1.5× 277 0.7× 202 4.2k
George Bebis United States 41 4.7k 1.6× 785 0.6× 1.2k 1.0× 258 0.5× 162 0.4× 194 6.9k
Zhenan Sun China 53 7.7k 2.6× 4.0k 3.3× 1.7k 1.5× 1.2k 2.3× 280 0.7× 260 10.6k
Habib Hamam Canada 33 1.0k 0.4× 351 0.3× 947 0.8× 694 1.3× 640 1.6× 339 4.6k

Countries citing papers authored by Anderson Rocha

Since Specialization
Citations

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

Fields of papers citing papers by Anderson Rocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anderson Rocha

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

All Works

20 of 20 papers shown
1.
Rocha, Anderson, et al.. (2025). Smishing Detection From a Messaging Platform View. IEEE Access. 13. 143449–143464.
2.
Lee, Bu‐Sung, et al.. (2025). FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models. IEEE Transactions on Information Forensics and Security. 20. 8730–8745. 2 indexed citations
3.
Avansi, Guilherme Daniel, et al.. (2024). End-to-end dimensionality reduction and regression from 3D geological uncertainties to estimate oil reservoir simulations. Applied Soft Computing. 162. 111799–111799. 1 indexed citations
4.
Júnior, Pedro Ribeiro Mendes, Óscar Linares, Manuel Castro, et al.. (2024). Rock-type classification: A (critical) machine-learning perspective. Computers & Geosciences. 193. 105730–105730. 3 indexed citations
5.
Kong, Chenqi, et al.. (2024). M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System. IEEE Transactions on Dependable and Secure Computing. 21(6). 5650–5666. 14 indexed citations
6.
Kong, Chenqi, et al.. (2022). Beyond the Pixel World: A Novel Acoustic-Based Face Anti-Spoofing System for Smartphones. IEEE Transactions on Information Forensics and Security. 17. 3238–3253. 28 indexed citations
7.
Kong, Chenqi, Baoliang Chen, Haoliang Li, et al.. (2022). Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-Level Telltales. IEEE Transactions on Information Forensics and Security. 17. 1741–1756. 70 indexed citations
8.
Mandelli, Sara, Davide Cozzolino, Daniel Moreira, et al.. (2022). Forensic Analysis of Synthetically Generated Western Blot Images. IEEE Access. 10. 59919–59932. 19 indexed citations
9.
Moreira, Daniel, et al.. (2021). Transformation-Aware Embeddings for Image Provenance. IEEE Transactions on Information Forensics and Security. 16. 2493–2507. 10 indexed citations
10.
Werneck, Rafael de Oliveira, Manuel Castro, Pedro Ribeiro Mendes Júnior, et al.. (2021). Data-driven deep-learning forecasting for oil production and pressure. Journal of Petroleum Science and Engineering. 210. 109937–109937. 46 indexed citations
11.
Júnior, Pedro Ribeiro Mendes, Terrance E. Boult, Jacques Wainer, & Anderson Rocha. (2021). Open-Set Support Vector Machines. IEEE Transactions on Systems Man and Cybernetics Systems. 52(6). 3785–3798. 18 indexed citations
12.
Milani, Simone, et al.. (2020). Ground-to-Aerial Viewpoint Localization via Landmark Graphs Matching. IEEE Signal Processing Letters. 27. 1490–1494. 9 indexed citations
13.
Li, Haoliang, Shiqi Wang, Peisong He, & Anderson Rocha. (2020). Face Anti-Spoofing With Deep Neural Network Distillation. IEEE Journal of Selected Topics in Signal Processing. 14(5). 933–946. 27 indexed citations
14.
Júnior, Pedro Ribeiro Mendes, Luca Bondi, Paolo Bestagini, Stefano Tubaro, & Anderson Rocha. (2019). An In-Depth Study on Open-Set Camera Model Identification. IEEE Access. 7. 180713–180726. 17 indexed citations
15.
Menotti, David, Giovani Chiachia, Allan Pinto, et al.. (2016). 1Deep Representations for Iris, Face, and Fingerprint Spoofing Detection. 239 indexed citations
16.
Moreira, Daniel, Sandra Avila, Mauricio Pérez, et al.. (2015). RECOD at MediaEval 2015: Affective Impact of Movies Task. MediaEval. 3 indexed citations
17.
Avila, Sandra, Daniel Moreira, Mauricio Pérez, et al.. (2014). RECOD at MediaEval 2014: Violent Scenes Detection Task.. MediaEval. 9 indexed citations
18.
Jelinek, Herbert F., et al.. (2013). Quality control and multi-lesion detection in automated retinopathy classification using a visual words dictionary. 5857–5860. 5 indexed citations
19.
Miranda, Paulo A. V., Alexandre X. Falcão, Anderson Rocha, & Felipe P. G. Bergo. (2008). Object delineation by kappa-connected components. EURASIP Journal on Advances in Signal Processing. 1 indexed citations
20.
Rocha, Anderson, et al.. (2004). wxProc — Um Simulador de Políticas de Escalonamento Multiplataforma. Americanae (AECID Library).

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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