Daniel Rocha

492 total citations
12 papers, 89 citations indexed

About

Daniel Rocha is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Epidemiology. According to data from OpenAlex, Daniel Rocha has authored 12 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Epidemiology. Recurrent topics in Daniel Rocha's work include Industrial Vision Systems and Defect Detection (4 papers), Advanced Neural Network Applications (3 papers) and Visual Attention and Saliency Detection (2 papers). Daniel Rocha is often cited by papers focused on Industrial Vision Systems and Defect Detection (4 papers), Advanced Neural Network Applications (3 papers) and Visual Attention and Saliency Detection (2 papers). Daniel Rocha collaborates with scholars based in Portugal, United States and India. Daniel Rocha's co-authors include Vı́tor Carvalho, Eva Oliveira, Vagner Ricardo Lunge, Daniel Simon, Paulo A. Fernandes, P.M.P. Salomé, Jorge Umberto Béria, Jennifer P. Teixeira, Aírton Tetelbom Stein and Filomena Soares and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Sensors.

In The Last Decade

Daniel Rocha

12 papers receiving 89 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Rocha Portugal	6	21	20	18	16	13	12	89
Xiao-Bo Pan United Kingdom	8	7 0.3×		2 0.1×	1 0.1×	19 1.5×	15	177
Yuxuan Han China	4	9 0.4×	11 0.6×				7	95
Susan R Bryan United Kingdom	10	69 3.3×			3 0.2×	6 0.5×	14	290
Jingjing Xiao China	6	7 0.3×	2 0.1×		2 0.1×	6 0.5×	19	82
Yehya Mohamad Germany	5	38 1.8×				15 1.2×	21	120
Prasanna Venkatesh Ramesh India	8	23 1.1×			2 0.1×	13 1.0×	76	167
Dongxuan Wu China	7	38 1.8×		1 0.1×		3 0.2×	16	149
Tomáš Marek Czechia	7	1 0.0×	2 0.1×		12 0.8×	4 0.3×	24	93
Nigel M. Bolster United Kingdom	6	37 1.8×				22 1.7×	17	250

Countries citing papers authored by Daniel Rocha

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Rocha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Rocha

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Rocha. A scholar is included among the top collaborators of Daniel 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 Daniel Rocha. Daniel Rocha 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:

12 of 12 papers shown

Walsh, Colin G., Yirui Hu, Yi-han Sheu, et al.. (2024). Development and multi-site external validation of a generalizable risk prediction model for bipolar disorder. Translational Psychiatry. 14(1). 58–58. 4 indexed citations

Tian, Ruoyu, Tian Ge, Hyeokmoon Kweon, et al.. (2024). Whole-exome sequencing in UK Biobank reveals rare genetic architecture for depression. Nature Communications. 15(1). 1755–1755. 11 indexed citations

Silva, Luís R., et al.. (2023). Automatic system to identify and manage garments for blind people. ACTA IMEKO. 12(3). 1–10. 1 indexed citations

Rocha, Daniel, et al.. (2023). Using Object Detection Technology to Identify Defects in Clothing for Blind People. Sensors. 23(9). 4381–4381. 6 indexed citations

Rocha, Daniel, Filomena Soares, Eva Oliveira, & Vı́tor Carvalho. (2023). Blind People: Clothing Category Classification and Stain Detection Using Transfer Learning. Applied Sciences. 13(3). 1925–1925. 3 indexed citations

Rocha, Daniel, et al.. (2023). Multidefect Detection Tool for Large-Scale PV Plants: Segmentation and Classification. IEEE Journal of Photovoltaics. 13(2). 291–295. 20 indexed citations

Jennings, Mariela, Hyunjoon Lee, Daniel Rocha, et al.. (2022). Identifying High-Risk Comorbidities Associated with Opioid Use Patterns Using Electronic Health Record Prescription Data. PubMed. 8(1-2). 47–56. 9 indexed citations

Rocha, Daniel, et al.. (2022). A Deep Learning Approach for PV Failure Mode Detection in Infrared Images: First Insights. 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC). 630–632. 5 indexed citations

Rocha, Daniel, et al.. (2018). Development of an Automatic Combination System of Clothing Parts for Blind People: MyEyes. SHILAP Revista de lepidopterología. 6 indexed citations

10.

Rocha, Daniel, et al.. (2017). MyEyes-automatic combination system of clothing parts to blind people: First insights. 1–5. 4 indexed citations

11.

Rocha, Daniel, et al.. (2017). ESPÉCIES DE CANDIDA PREDOMINANTES EM SECREÇÃO VAGINAL DE MULHERES SINTOMÁTICAS E NÃO: UMA REVISÃO INTEGRATIVA. 13(3). 1 indexed citations

12.

Lunge, Vagner Ricardo, et al.. (2011). IL28B Polymorphism Associated with Spontaneous Clearance of Hepatitis C Infection in a Southern Brazilian HIV Type 1 Population. AIDS Research and Human Retroviruses. 28(2). 215–219. 19 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.

Explore authors with similar magnitude of impact