Leonardo Goliatt

1.8k total citations · 1 hit paper
103 papers, 1.1k citations indexed

About

Leonardo Goliatt is a scholar working on Artificial Intelligence, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, Leonardo Goliatt has authored 103 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 23 papers in Environmental Engineering and 17 papers in Mechanical Engineering. Recurrent topics in Leonardo Goliatt's work include Hydrological Forecasting Using AI (18 papers), Hydrology and Watershed Management Studies (11 papers) and Energy Load and Power Forecasting (11 papers). Leonardo Goliatt is often cited by papers focused on Hydrological Forecasting Using AI (18 papers), Hydrology and Watershed Management Studies (11 papers) and Energy Load and Power Forecasting (11 papers). Leonardo Goliatt collaborates with scholars based in Brazil, Saudi Arabia and Malaysia. Leonardo Goliatt's co-authors include Camila Martins Saporetti, Egberto Pereira, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Afonso Celso de Castro Lemonge, Priscila Vanessa Zabala Capriles Goliatt, Hélio J. C. Barbosa, Eduardo Pestana de Aguiar, Salim Heddam, Iman Ahmadianfar and Mou Leong Tan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Cleaner Production.

In The Last Decade

Leonardo Goliatt

86 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nivolumab (NIVO) plus ipilimumab (IPI) vs lenvatinib (LEN) or sorafenib (SOR) as first-line treatment for unresectable hepatocellular carcinoma (uHCC): First results from CheckMate 9DW.

2024 75 citations Peter R. Galle, Thomas Decaens et al. Journal of Clinical Oncology profile →

Peers

Countries citing papers authored by Leonardo Goliatt

Since Specialization

Citations

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

Fields of papers citing papers by Leonardo Goliatt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Goliatt

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Goliatt. A scholar is included among the top collaborators of Leonardo Goliatt 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 Leonardo Goliatt. Leonardo Goliatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Optimizing engineering design problems using adaptive differential learning teaching-learning-based optimization: Novel approach 2025 ·Expert Systems with Applications ·Tao Hai, Mohammed Suleman Aldlemy, Iman Ahmadianfar, Leonardo Goliatt, Haydar Abdulameer Marhoon, Raad Z. Homod, Hussein Togun, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬	0
2	Q‐DFTNet: A Chemistry‐Informed Neural Network Framework for Predicting Molecular Dipole Moments via DFT‐Driven QM9 Data 2025 ·Journal of Computational Chemistry ·(unknown), (unknown), Masoud Darvish Ganji, Camila Martins Saporetti, Leonardo Goliatt	1
3	Machine learning-enhanced fully coupled fluid–solid interaction models for proppant dynamics in hydraulic fractures 2025 ·Scientific Reports ·(unknown), Sonny Irawan, Lei Wang, Leonardo Goliatt	0
4	Stratified Metamodeling to Predict Concrete Compressive Strength Using an Optimized Dual-Layered Architectural Framework 2025 ·Mathematical and Computational Applications ·(unknown), (unknown), (unknown), (unknown), (unknown), Camila Martins Saporetti, Leonardo Goliatt	1
5	Machine Learning-Based Prediction of Soybean Plant Height from Agronomic Traits Across Sequential Harvests 2025 ·AgriEngineering ·(unknown), (unknown), (unknown), Fernando Ferrari Putti, (unknown), Camila Martins Saporetti, Leonardo Goliatt	0
6	Bayesian optimization-guided machine learning models for bio-oil yield prediction from lignocellulosic biomass pyrolysis 2025 ·Biomass and Bioenergy ·(unknown), (unknown), (unknown), Daniel Assumpção Bertuol, Eduardo Hiromitsu Tanabe, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, (unknown), Camila Martins Saporetti, Leonardo Goliatt	0
7	Machine Learning with Evolutionary Parameter Tuning for Singing Registers Classification 2025 ·Signals ·(unknown), (unknown), (unknown), (unknown), Camila Martins Saporetti, (unknown), Alexandre Cury, Leonardo Goliatt	0
8	Machine Learning for Predicting Coliform Concentrations at Montevideo Beaches: Identifying Key Environmental Drivers for Coastal Water Quality Management 2025 ·Earth ·(unknown), Leonardo Goliatt, Alberto Castro, Angela Gorgoglione	1
9	Observed and future shifts in climate zone of Borneo based on CMIP6 models 2024 ·Journal of Environmental Management ·Zulfaqar Sa’adi, Mohammad Al-Suwaiyan, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mou Leong Tan, Leonardo Goliatt, Salim Heddam, Bijay Halder, Iman Ahmadianfar, Raad Z. Homod, (unknown)	7
10	Optimized ensemble deep random vector functional link with nature inspired algorithm and boruta feature selection: Multi-site intelligent model for air quality index forecasting 2024 ·Process Safety and Environmental Protection ·Tao Hai, Ali Omran Al‐Sulttani, (unknown), Iman Ahmadianfar, Leonardo Goliatt, Syed Shabi Ul Hassan Kazmi, Omer A. Alawi, Haydar Abdulameer Marhoon, Mou Leong Tan, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬	6
11	Hybridized machine learning models for phosphate pollution modeling in water systems for multiple uses 2024 ·Journal of Water Process Engineering ·(unknown), (unknown), (unknown), (unknown), Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Angela Gorgoglione, Leonardo Goliatt	4
12	Coupled extreme gradient boosting algorithm with artificial intelligence models for predicting compressive strength of fiber reinforced polymer- confined concrete 2024 ·Engineering Applications of Artificial Intelligence ·Tao Hai, Zainab Hasan Ali, Faisal Mukhtar, Ahmed W. Al Zand, Haydar Abdulameer Marhoon, Leonardo Goliatt, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬	12
13	Data driven insights for parabolic trough solar collectors: Artificial intelligence-based energy and exergy performance analysis 2024 ·Journal of Cleaner Production ·Tao Hai, Omer A. Alawi, Raad Z. Homod, Mustafa K. A. Mohammed, Leonardo Goliatt, Hussein Togun, (unknown), Salim Heddam, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬	12
14	Enhancing short-term streamflow forecasting of extreme events: A wavelet-artificial neural network hybrid approach 2024 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), (unknown), Leonardo Goliatt	4
15	Nivolumab (NIVO) plus ipilimumab (IPI) vs lenvatinib (LEN) or sorafenib (SOR) as first-line treatment for unresectable hepatocellular carcinoma (uHCC): First results from CheckMate 9DW. breakdown → 2024 ·Journal of Clinical Oncology ·Peter R. Galle, Thomas Decaens, Masatoshi Kudo, Shukui Qin, Leonardo Goliatt, Bruno Sangro, Hatim Karachiwala, Joong‐Won Park, Edward Gane, Matthias Pinter, David Tai, Armando Santoro, Gonzalo Pizarro, Chang‐Fang Chiu, Michael Schenker, Aiwu Ruth He, Qi Wang, (unknown), Joseph Hreiki, Thomas Yau	75
16	Evolutionary automated radial basis function neural network for multiphase flowing bottom-hole pressure prediction 2024 ·Fuel ·(unknown), (unknown), (unknown), Dmitriy A. Martyushev, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, (unknown), Camila Martins Saporetti, Leonardo Goliatt	10
17	PM2.5 concentration forecasting: Development of integrated multivariate variational mode decomposition with kernel Ridge regression and weighted mean of vectors optimization 2024 ·Atmospheric Pollution Research ·Tao Hai, Iman Ahmadianfar, Leonardo Goliatt, Syed Shabi Ul Hassan Kazmi, Mohamed A. Yassin, Atheer Y. Oudah, Raad Z. Homod, Hussein Togun, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬	10
18	Short-term streamflow modeling using data-intelligence evolutionary machine learning models 2023 ·Scientific Reports ·(unknown), Henrique S. Hippert, Leonardo Goliatt	16
19	An Enhanced Multioperator Runge–Kutta Algorithm for Optimizing Complex Water Engineering Problems 2023 ·Sustainability ·Iman Ahmadianfar, Bijay Halder, Salim Heddam, Leonardo Goliatt, Mou Leong Tan, Zulfaqar Sa’adi, Zainab Al-Khafaji, Raad Z. Homod, Tarik A. Rashid, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬	10
20	An Island Model based on Stigmergy to solve optimization problems 2020 ·Natural Computing ·(unknown), Afonso Celso de Castro Lemonge, Leonardo Goliatt, Beatriz Souza Leite Pires de Lima	15

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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