B. Mellado

10.1k total citations
74 papers, 522 citations indexed

About

B. Mellado is a scholar working on Nuclear and High Energy Physics, Modeling and Simulation and Artificial Intelligence. According to data from OpenAlex, B. Mellado has authored 74 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Nuclear and High Energy Physics, 10 papers in Modeling and Simulation and 8 papers in Artificial Intelligence. Recurrent topics in B. Mellado's work include Particle physics theoretical and experimental studies (36 papers), Particle Detector Development and Performance (22 papers) and High-Energy Particle Collisions Research (19 papers). B. Mellado is often cited by papers focused on Particle physics theoretical and experimental studies (36 papers), Particle Detector Development and Performance (22 papers) and High-Energy Particle Collisions Research (19 papers). B. Mellado collaborates with scholars based in South Africa, Canada and United States. B. Mellado's co-authors include S. L. Wu, Rohini M. Godbole, Tao Han, W. B. Quayle, M. Kumar, Jude Dzevela Kong, Kirtimaan A. Mohan, Andreas Crivellin, A. Djouadi and Sreerup Raychaudhuri and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

B. Mellado

66 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Mellado South Africa 13 382 49 43 33 29 74 522
R. Gupta United States 9 64 0.2× 132 2.7× 45 1.0× 9 0.3× 22 0.8× 22 321
S. Williamson Switzerland 10 315 0.8× 5 0.1× 75 1.7× 49 1.5× 14 0.5× 12 592
M. Samri Canada 10 118 0.3× 7 0.1× 29 0.7× 35 1.1× 15 0.5× 24 376
Ayan Paul Germany 16 796 2.1× 100 2.0× 64 1.5× 5 0.2× 4 0.1× 39 859
J. Yu China 9 203 0.5× 15 0.3× 13 0.3× 47 1.4× 3 0.1× 19 298
M. Große Perdekamp Germany 9 209 0.5× 48 1.0× 7 0.2× 14 0.4× 10 0.3× 26 446
Joseph F. Owens United States 9 563 1.5× 29 0.6× 47 1.1× 4 0.1× 15 655
Hee-Jung Lee South Korea 13 239 0.6× 21 0.4× 30 0.7× 7 0.2× 14 0.5× 66 464
H. Z. Huang China 12 250 0.7× 40 0.8× 9 0.2× 9 0.3× 2 0.1× 69 439
Wolfgang Rolke Puerto Rico 7 236 0.6× 109 2.2× 19 0.4× 23 0.7× 4 0.1× 13 325

Countries citing papers authored by B. Mellado

Since Specialization
Citations

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

Fields of papers citing papers by B. Mellado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Mellado

This figure shows the co-authorship network connecting the top 25 collaborators of B. Mellado. A scholar is included among the top collaborators of B. Mellado 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 B. Mellado. B. Mellado 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.
Nkadimeng, Edward Khomotso, et al.. (2026). Spatiotemporal Graph Neural Networks for PM2.5 Concentration Forecasting. SHILAP Revista de lepidopterología. 4(1). 2–2.
2.
Kumar, M., et al.. (2025). Discovery potential of future electron-positron colliders for a 95 GeV scalar. Physics Letters B. 870. 139953–139953. 1 indexed citations
3.
Ogbuokiri, Blessing, Ali Ahmadi, Laleh Seyyed-Kalantari, et al.. (2025). Emotional reactions towards vaccination during the emergence of the Omicron variant: Insights from twitter analysis in South Africa. Machine Learning with Applications. 20. 100644–100644. 1 indexed citations
4.
Seyyed-Kalantari, Laleh, B. Mellado, Ali Ahmadi, et al.. (2025). Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak. Artificial Intelligence in Medicine. 161. 103076–103076. 2 indexed citations
5.
Bragazzi, Nicola Luigi, Ali Asgary, Ali Ahmadi, et al.. (2024). Impact assessment of self-medication on COVID-19 prevalence in Gauteng, South Africa, using an age-structured disease transmission modelling framework. BMC Public Health. 24(1). 1540–1540.
6.
Bragazzi, Nicola Luigi, Ali Asgary, B. Mellado, et al.. (2023). Off-label drug use during the COVID-19 pandemic in Africa: topic modelling and sentiment analysis of ivermectin in South Africa and Nigeria as a case study. Journal of The Royal Society Interface. 20(206). 20230200–20230200. 4 indexed citations
7.
Beck, Geoff, et al.. (2023). Connecting multi-lepton anomalies at the LHC and in Astrophysics with MeerKAT/SKA. Astroparticle Physics. 148. 102821–102821. 4 indexed citations
8.
Kong, Jude Dzevela, Ali Asgary, Nicola Luigi Bragazzi, et al.. (2023). Big data- and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study. BMC Medical Informatics and Decision Making. 23(1). 5 indexed citations
9.
Dahbi, S., et al.. (2023). The use of Wasserstein Generative Adversarial Networks in searches for new resonances at the LHC.. Journal of Physics Conference Series. 2586(1). 12157–12157. 4 indexed citations
10.
11.
Mafu, Mhlambululi, et al.. (2022). Leveraging artificial intelligence to optimize COVID-19 robust spread and vaccination roll-out strategies in Southern Africa. Frontiers in Artificial Intelligence. 5. 1013010–1013010. 2 indexed citations
12.
Ahmadi, Ali, Nicola Luigi Bragazzi, B. Mellado, et al.. (2022). A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments. PLoS ONE. 17(8). e0272208–e0272208. 12 indexed citations
13.
Mellado, B., et al.. (2022). Management of hospital beds and ventilators in the Gauteng province, South Africa, during the COVID-19 pandemic. SHILAP Revista de lepidopterología. 2(11). e0001113–e0001113. 5 indexed citations
14.
Bragazzi, Nicola Luigi, Jude Dzevela Kong, Ali Asgary, et al.. (2021). Development of an Early Alert System for an Additional Wave of COVID-19 Cases Using a Recurrent Neural Network with Long Short-Term Memory. International Journal of Environmental Research and Public Health. 18(14). 7376–7376. 5 indexed citations
15.
Bragazzi, Nicola Luigi, Jude Dzevela Kong, Ali Asgary, et al.. (2021). Development of an Early Alert System for an Additional Wave of COVID-19 Cases using a Recurrent Neural Network with Long Short-Term Memory. SSRN Electronic Journal. 2 indexed citations
16.
Mellado, B., Jian Wu, Jude Dzevela Kong, et al.. (2021). Leveraging Artificial Intelligence and Big Data to Optimize COVID-19 Clinical Public Health and Vaccination Roll-Out Strategies in Africa. SSRN Electronic Journal. 7 indexed citations
17.
Cox, Mitchell A., et al.. (2015). A CPU benchmarking characterization of ARM based processors. SHILAP Revista de lepidopterología. 7(3). 581–586. 3 indexed citations
18.
Kruse, Amanda, Alan S. Cornell, M. Kumar, B. Mellado, & X. Ruan. (2015). Probing the Higgs boson via vector boson fusion with single jet tagging at the LHC. Physical review. D. Particles, fields, gravitation, and cosmology. 91(5). 5 indexed citations
19.
Goyal, Ashok, et al.. (2013). Measuring anomalous $Wtb$ couplings at $e^-p$ collider. arXiv (Cornell University). 3 indexed citations
20.
Campbell, John M., E. Castaneda-Miranda, Y. Fang, et al.. (2009). Normalizing weak boson pair production at the Large Hadron Collider. Physical review. D. Particles, fields, gravitation, and cosmology. 80(5). 8 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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