Daniel Acevedo

560 total citations
30 papers, 278 citations indexed

About

Daniel Acevedo is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology. According to data from OpenAlex, Daniel Acevedo has authored 30 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 5 papers in Human-Computer Interaction and 4 papers in Media Technology. Recurrent topics in Daniel Acevedo's work include Image and Signal Denoising Methods (7 papers), Advanced Data Compression Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Daniel Acevedo is often cited by papers focused on Image and Signal Denoising Methods (7 papers), Advanced Data Compression Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Daniel Acevedo collaborates with scholars based in Argentina, United States and Spain. Daniel Acevedo's co-authors include David H. Laidlaw, Martha Sharp Joukowsky, Daniel F. Keefe, Cullen D. Jackson, Marta Mejail, Esther de Ves, Sharon M. Swartz, Sarath Chandra Janga, Pablo Negri and Robert C. Zeleznik and has published in prestigious journals such as Pattern Recognition, Experimental Biology and Medicine and Pattern Recognition Letters.

In The Last Decade

Daniel Acevedo

26 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Acevedo Argentina 10 199 79 52 32 30 30 278
H. S. Smallman United States 6 158 0.8× 131 1.7× 16 0.3× 8 0.3× 39 1.3× 8 294
Steven Osborne United States 7 289 1.5× 263 3.3× 68 1.3× 23 0.7× 20 0.7× 8 499
Zijun Wei United States 10 273 1.4× 64 0.8× 7 0.1× 11 0.3× 27 0.9× 27 419
Ronell Sicat Saudi Arabia 6 268 1.3× 176 2.2× 66 1.3× 4 0.1× 9 0.3× 16 350
Charles Herrmann United States 10 175 0.9× 13 0.2× 30 0.6× 4 0.1× 22 0.7× 22 287
Vijay Anand India 10 138 0.7× 30 0.4× 11 0.2× 42 1.3× 65 2.2× 24 319
Ziheng Zhou China 10 255 1.3× 37 0.5× 4 0.1× 26 0.8× 17 0.6× 25 430
Chunghyun Ahn South Korea 11 132 0.7× 23 0.3× 6 0.1× 8 0.3× 76 2.5× 42 377
Jiang Gao United States 13 280 1.4× 75 0.9× 2 0.0× 12 0.4× 52 1.7× 31 383
Babak Saleh United States 8 301 1.5× 8 0.1× 17 0.3× 4 0.1× 15 0.5× 14 405

Countries citing papers authored by Daniel Acevedo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Acevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Acevedo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Acevedo. A scholar is included among the top collaborators of Daniel Acevedo 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 Daniel Acevedo. Daniel Acevedo 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.
Negri, Pablo, et al.. (2025). Enhancing precipitation detection: A multi-sensor approach using conditional GANs and recurrent networks. Pattern Recognition Letters. 200. 150–157.
2.
Acevedo, Daniel, et al.. (2022). Penguin: A tool for predicting pseudouridine sites in direct RNA nanopore sequencing data. Methods. 203. 478–487. 29 indexed citations
3.
Acevedo, Daniel, et al.. (2021). EfficientARL: improving skin cancer diagnoses by combining lightweight attention on EfficientNet. 3347–3353. 7 indexed citations
4.
Acevedo, Daniel, et al.. (2017). A Simple Geometric-Based Descriptor for Facial Expression Recognition. 802–808. 13 indexed citations
5.
Acevedo, Daniel, et al.. (2016). Facial expression recognition based on static and dynamic approaches. 8827. 4124–4129. 9 indexed citations
6.
Negri, Pablo, et al.. (2016). Facial expression recognition: A comparison between static and dynamic approaches. 1 (6 .)–1 (6 .). 1 indexed citations
7.
Ves, Esther de, et al.. (2014). A statistical model for magnitudes and angles of wavelet frame coefficients and its application to texture retrieval. Pattern Recognition. 47(9). 2925–2939. 24 indexed citations
8.
Schulze, Jürgen P., et al.. (2012). Democratizing rendering for multiple viewers in surround VR systems. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 77–80. 6 indexed citations
9.
Acevedo, Daniel, et al.. (2010). Lossless compression of hyperspectral images: Look-up tables with varying degrees of confidence. 1314–1317. 2 indexed citations
10.
11.
Acevedo, Daniel, et al.. (2009). A Class-Conditioned Lossless Wavelet-Based Predictive Multispectral Image Compressor. IEEE Geoscience and Remote Sensing Letters. 7(1). 166–170. 6 indexed citations
12.
Keefe, Daniel F., et al.. (2008). Scientific Sketching for Collaborative VR Visualization Design. IEEE Transactions on Visualization and Computer Graphics. 14(4). 835–847. 41 indexed citations
13.
Acevedo, Daniel, et al.. (2008). Using Visual Design Experts in Critique-Based Evaluation of 2D Vector Visualization Methods. IEEE Transactions on Visualization and Computer Graphics. 14(4). 877–884. 22 indexed citations
14.
Acevedo, Daniel & David H. Laidlaw. (2006). Subjective Quantification of Perceptual Interactions among some 2D Scientific Visualization Methods. IEEE Transactions on Visualization and Computer Graphics. 12(5). 1133–1140. 14 indexed citations
15.
Acevedo, Daniel, et al.. (2006). Classification and prediction of wavelet coefficients for lossless compression of Landsat images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6300. 63000O–63000O.
16.
Acevedo, Daniel, et al.. (2005). <title>Prediction of coefficients for lossless compression of multispectral images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5889. 58890N–58890N. 3 indexed citations
17.
Acevedo, Daniel, et al.. (2003). Design-by-example. 2 indexed citations
18.
Jackson, Cullen D., et al.. (2003). Designer-critiqued comparison of 2D vector visualization methods. 7 indexed citations
19.
Acevedo, Daniel, et al.. (2001). Archaeological data visualization in VR: analysis of lamp finds at the great temple of petra, a case study. IEEE Visualization. 493–496. 27 indexed citations
20.

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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