Daniel G. Costa

2.6k total citations · 1 hit paper
136 papers, 1.7k citations indexed

About

Daniel G. Costa is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel G. Costa has authored 136 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Networks and Communications, 44 papers in Electrical and Electronic Engineering and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel G. Costa's work include Energy Efficient Wireless Sensor Networks (49 papers), IoT and Edge/Fog Computing (29 papers) and Human Mobility and Location-Based Analysis (23 papers). Daniel G. Costa is often cited by papers focused on Energy Efficient Wireless Sensor Networks (49 papers), IoT and Edge/Fog Computing (29 papers) and Human Mobility and Location-Based Analysis (23 papers). Daniel G. Costa collaborates with scholars based in Brazil, Portugal and Chile. Daniel G. Costa's co-authors include Luiz Affonso Guedes, Paulo Portugal, Francisco Vasques, João Paulo Just Peixoto, Ivanovitch Silva, Cristian Durán-Faúndez, Thiago C. Jesus, Maycon Peixoto, Marianne Lucena da Silva and Mario Collotta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biological Psychiatry and IEEE Access.

In The Last Decade

Daniel G. Costa

127 papers receiving 1.6k citations

Hit Papers

Internet of Intelligent Things: A convergence of embedded... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel G. Costa Brazil 25 842 486 362 221 189 136 1.7k
Luı́s Sánchez Spain 19 790 0.9× 404 0.8× 253 0.7× 203 0.9× 166 0.9× 57 1.5k
Juan Ramón Santana Spain 15 642 0.8× 534 1.1× 179 0.5× 155 0.7× 115 0.6× 40 1.3k
Bruno Silva South Africa 17 881 1.0× 1.3k 2.7× 162 0.4× 105 0.5× 187 1.0× 75 2.2k
Qi Han United States 21 900 1.1× 801 1.6× 316 0.9× 395 1.8× 347 1.8× 129 2.1k
Ivanovitch Silva Brazil 21 704 0.8× 455 0.9× 297 0.8× 52 0.2× 307 1.6× 121 1.6k
Imad Jawhar United States 28 1.8k 2.1× 997 2.1× 444 1.2× 75 0.3× 185 1.0× 100 3.0k
Sergio Trilles Spain 21 308 0.4× 426 0.9× 149 0.4× 115 0.5× 157 0.8× 60 1.3k
Pierfrancesco Bellini Italy 21 538 0.6× 244 0.5× 348 1.0× 220 1.0× 307 1.6× 122 1.9k
Andrea Vinci Italy 16 308 0.4× 250 0.5× 185 0.5× 120 0.5× 196 1.0× 63 1.1k
Susana Sargento Portugal 24 1.8k 2.1× 1.4k 2.9× 219 0.6× 140 0.6× 158 0.8× 326 2.5k

Countries citing papers authored by Daniel G. Costa

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel G. Costa

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Costa. A scholar is included among the top collaborators of Daniel G. Costa 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 G. Costa. Daniel G. Costa 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.
Jesus, Thiago C., et al.. (2025). The Road to Intelligent Cities. Smart Cities. 8(3). 77–77. 5 indexed citations
2.
Costa, Daniel G., et al.. (2025). On the spatiotemporal knowledge-driven vulnerability assessment of urban areas: A clustering-based approach. International Journal of Disaster Risk Reduction. 127. 105681–105681. 1 indexed citations
3.
Costa, Daniel G., et al.. (2024). On the Use of Biofuels for Cleaner Cities: Assessing Vehicular Pollution through Digital Twins and Machine Learning Algorithms. Sustainability. 16(2). 708–708. 3 indexed citations
4.
Peixoto, João Paulo Just, Daniel G. Costa, Paulo Portugal, & Francisco Vasques. (2024). Flood-Resilient Smart Cities: A Data-Driven Risk Assessment Approach Based on Geographical Risks and Emergency Response Infrastructure. Smart Cities. 7(1). 662–679. 9 indexed citations
5.
Costa, Daniel G., et al.. (2024). Geospatial Risk Assessment of Cyclist Accidents in Urban Areas: A K-means Clustering Approach. 744–749. 2 indexed citations
6.
Costa, Daniel G., et al.. (2024). A Survey on Adaptive Smart Urban Systems. IEEE Access. 12. 102826–102850. 13 indexed citations
7.
Silva, Ivanovitch, et al.. (2024). Advancing Tiny Machine Learning Operations: Robust Model Updates in the Internet of Intelligent Vehicles. IEEE Micro. 45(1). 76–86. 2 indexed citations
8.
Costa, Daniel G., et al.. (2024). A data-driven clustering approach for assessing spatiotemporal vulnerability to urban emergencies. Sustainable Cities and Society. 108. 105477–105477. 14 indexed citations
9.
Costa, Daniel G., et al.. (2024). Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches. Sustainability. 16(2). 640–640. 30 indexed citations
10.
Peixoto, João Paulo Just, Daniel G. Costa, Paulo Portugal, & Francisco Vasques. (2024). A geospatial multi-domain flood prediction tool exploiting open datasets. Software Impacts. 21. 100697–100697. 1 indexed citations
11.
Costa, Daniel G., et al.. (2024). A method to promote safe cycling powered by large language models and AI agents. MethodsX. 13. 102880–102880. 2 indexed citations
12.
Silva, Ivanovitch, et al.. (2023). A composite indicator of liveability based on sociodemographic and Uber quality service dimensions: A data-driven approach. Transport Policy. 141. 97–115. 1 indexed citations
13.
Silva, Ivanovitch, et al.. (2023). Symmetry in Scientific Collaboration Networks: A Study Using Temporal Graph Data Science and Scientometrics. Symmetry. 15(3). 601–601. 3 indexed citations
14.
Costa, Daniel G., et al.. (2023). A Secure OTA Approach For Flexible Operation of Emergency Detection Units in Smart Cities. 1–7. 3 indexed citations
15.
Costa, Daniel G., et al.. (2022). A Computer-Assisted Approach to Assess the Precision of the Reciprocating Angles and the Rotation Speeds of Endodontic Motors. Applied System Innovation. 5(4). 68–68. 1 indexed citations
16.
17.
Collotta, Mario, Giovanni Pau, & Daniel G. Costa. (2018). A fuzzy-based approach for energy-efficient Wi-Fi communications in dense wireless multimedia sensor networks. Computer Networks. 134. 127–139. 15 indexed citations
18.
Peixoto, João Paulo Just & Daniel G. Costa. (2018). MobSink: a Visual Mobile Wireless Sensor Networks Positioning Simulator. 103–107. 1 indexed citations
19.
Costa, Daniel G., Mario Collotta, Giovanni Pau, & Cristian Durán-Faúndez. (2017). A Fuzzy-Based Approach for Sensing, Coding and Transmission Configuration of Visual Sensors in Smart City Applications. Sensors. 17(1). 93–93. 33 indexed citations
20.
Costa, Daniel G., Francisco Vasques, & Paulo Portugal. (2016). Enhancing the availability of wireless visual sensor networks: Selecting redundant nodes in networks with occlusion. Applied Mathematical Modelling. 42. 223–243. 27 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

Rankless by CCL
2026