Daniel Prado Campos

777 total citations · 1 hit paper
32 papers, 518 citations indexed

About

Daniel Prado Campos is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Daniel Prado Campos has authored 32 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Cognitive Neuroscience. Recurrent topics in Daniel Prado Campos's work include Muscle activation and electromyography studies (15 papers), Infrared Thermography in Medicine (9 papers) and EEG and Brain-Computer Interfaces (7 papers). Daniel Prado Campos is often cited by papers focused on Muscle activation and electromyography studies (15 papers), Infrared Thermography in Medicine (9 papers) and EEG and Brain-Computer Interfaces (7 papers). Daniel Prado Campos collaborates with scholars based in Brazil, Portugal and Chile. Daniel Prado Campos's co-authors include John Atkinson, José Jair Alves Mendes, Paulo José Abatti, Percy Nohama, Joaquim Mendes, André Eugênio Lazzaretti, Sérgio Luiz Stevan, Eddy Krueger, Sérgio Francisco Pichorim and Robson R. Linhares and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Daniel Prado Campos

27 papers receiving 512 citations

Hit Papers

Improving BCI-based emotion recognition by combining EEG ... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Prado Campos Brazil 9 350 263 88 80 67 32 518
Zijing Mao United States 9 490 1.4× 264 1.0× 86 1.0× 106 1.3× 39 0.6× 17 615
Andrzej Majkowski Poland 12 298 0.9× 220 0.8× 91 1.0× 101 1.3× 45 0.7× 59 607
Lanlan Chen China 7 379 1.1× 363 1.4× 62 0.7× 86 1.1× 108 1.6× 14 639
Ming Meng China 14 348 1.0× 143 0.5× 65 0.7× 78 1.0× 106 1.6× 56 541
Aly Aly Egypt 4 395 1.1× 285 1.1× 94 1.1× 49 0.6× 23 0.3× 18 528
Souvik Phadikar India 11 324 0.9× 87 0.3× 50 0.6× 130 1.6× 37 0.6× 14 444
Necmettin Sezgın Türkiye 10 247 0.7× 178 0.7× 52 0.6× 62 0.8× 195 2.9× 23 490
Chun-Shu Wei United States 14 562 1.6× 153 0.6× 136 1.5× 88 1.1× 56 0.8× 38 650
Byung Hyung Kim South Korea 11 324 0.9× 99 0.4× 132 1.5× 37 0.5× 44 0.7× 26 529
Md. Asadur Rahman Bangladesh 13 346 1.0× 102 0.4× 49 0.6× 93 1.2× 128 1.9× 51 610

Countries citing papers authored by Daniel Prado Campos

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Prado Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Prado Campos

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Prado Campos. A scholar is included among the top collaborators of Daniel Prado Campos 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 Prado Campos. Daniel Prado Campos 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.
Oliveira, Adauto Emmerich, Luiz F. Carvalho, Daniel Prado Campos, & Rafael Gomes Mantovani. (2024). Music Genre Recognition with Handcrafted Audio Features. 541–552.
2.
Lima, Gabriel, Daniel Prado Campos, & Rafael Gomes Mantovani. (2024). A Review on the Recent use of Machine Learning for Gesture Recognition using Myoelectric Signals. 180–191.
3.
Campos, Daniel Prado, et al.. (2024). Non-invasive muscle-machine interface open source project: wearable hand myoelectrical orthosis (MES-FES). Assistive Technology. 1–10. 1 indexed citations
4.
Campos, Daniel Prado, et al.. (2024). Event-Driven sEMG Feature Extraction for Classifying Ingestive Behavior in Ruminants. IEEE Sensors Letters. 8(8). 1–4.
5.
Mendes, José Jair Alves, et al.. (2023). AD8232 to Biopotentials Sensors: Open Source Project and Benchmark. Electronics. 12(4). 833–833. 8 indexed citations
6.
Campos, Daniel Prado, et al.. (2023). Development of a robotic orthosis for fingers flexion motion by surface myoelectric control: Open source prototype. Biomedical Signal Processing and Control. 85. 105014–105014. 2 indexed citations
7.
Campos, Daniel Prado, et al.. (2022). Evaluating physiological progression of chronic tibial osteomyelitis using infrared thermography. Research on Biomedical Engineering. 38(3). 941–953. 2 indexed citations
8.
Campos, Daniel Prado, et al.. (2022). Forehead, Temple and Wrist Temperature Assessment of Ethnic Groups using Infrared Technology. Medical Engineering & Physics. 102(1). 103777–103777. 6 indexed citations
9.
Campos, Daniel Prado, et al.. (2022). Detecting bone lesions in the emergency room with medical infrared thermography. BioMedical Engineering OnLine. 21(1). 35–35. 8 indexed citations
10.
Campos, Daniel Prado, et al.. (2022). Thermography applied in the diagnostic assessment of bone fractures. Research on Biomedical Engineering. 38(2). 733–745. 2 indexed citations
11.
Mendes, José Jair Alves, et al.. (2022). How do sEMG segmentation parameters influence pattern recognition process? An approach based on wearable sEMG sensor. Biomedical Signal Processing and Control. 81. 104546–104546. 10 indexed citations
12.
Campos, Daniel Prado, et al.. (2021). Thermography of hand rewarming parameters in Raynaud’s phenomenon. Research on Biomedical Engineering. 37(4). 825–833. 1 indexed citations
13.
Campos, Daniel Prado, et al.. (2021). Evaluation of Tibia Bone Healing by Infrared Thermography: A Case Study. Journal of Multidisciplinary Healthcare. Volume 14. 3161–3175. 5 indexed citations
14.
Campos, Daniel Prado, et al.. (2021). Muscle activity during oral processing of sticky-cohesive foods. Physiology & Behavior. 242. 113580–113580. 4 indexed citations
15.
Campos, Daniel Prado, André Eugênio Lazzaretti, Percy Nohama, et al.. (2021). EEG-FES-Force-MMG closed-loop control systems of a volunteer with paraplegia considering motor imagery with fatigue recognition and automatic shut-off. Biomedical Signal Processing and Control. 68. 102662–102662. 9 indexed citations
16.
17.
Campos, Daniel Prado, et al.. (2020). Thermal Variations in Osteoporosis After Aclasta® Administration: Case Study. International Journal of Online and Biomedical Engineering (iJOE). 16(10). 82–95. 4 indexed citations
19.
Mendes, José Jair Alves, et al.. (2020). Independent component analysis in multi-channel forearm surface electromyography processing on armband approach for hand gesture classification. Research on Biomedical Engineering. 36(4). 439–448. 2 indexed citations
20.
Campos, Daniel Prado, et al.. (2018). Surface electromyography segmentation and feature extraction for ingestive behavior recognition in ruminants. Computers and Electronics in Agriculture. 153. 325–333. 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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