William La Cava
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Machine Learning and Data Classification
- Neural Networks and Applications
Papers in
-
- Evolutionary Algorithms and Applications 23
- Metaheuristic Optimization Algorithms Research 16
- Machine Learning and Data Classification 9
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- ECG Monitoring and Analysis 4
- Co-authors
- Jason H. Moore (17 shared papers)Patryk Orzechowski (3 shared papers)Ryan J. Urbanowicz (2 shared papers)Randal S. Olson (1 shared paper)Lee Spector (9 shared papers)Kourosh Danai (11 shared papers)Yi Guo (6 shared papers)Jonathan Keller (4 shared papers)
- Journals
- American Journal of Obstetrics and Gynecology (2 papers)Genetic Programming and Evolvable Machines (2 papers)IET Renewable Power Generation (1 paper)Circulation (1 paper)Health Equity (1 paper)
- Partner nations
- United StatesPortugalBrazil
In The Last Decade
William La Cava
55 papers receiving 763 citations
Peers
Comparison fields: 5 of 123
- Health Informatics 22
- Artificial Intelligence 393
- Control and Systems Engineering 95
- Mechanical Engineering 135
- Health Information Management 14
Countries citing papers authored by William La Cava
This map shows the geographic impact of William La Cava'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 William La Cava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William La Cava more than expected).
Fields of papers citing papers by William La Cava
This network shows the impact of papers produced by William La Cava. 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 William La Cava. The network helps show where William La Cava may publish in the future.
Co-authors
The 25 scholars most cited alongside William La Cava, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 188 | |
| 2 | 2018 | 72 | |
| 3 | 2014 | 55 | |
| 4 | 2018 | 40 | |
| 5 | 2018 | 38 | |
| 6 | Interpretation of machine learning predictions for patient outcomes in electronic health records | 2020 | 35 |
| 7 | 2015 | 32 | |
| 8 | 2024 | 24 | |
| 9 | 2013 | 24 | |
| 10 | 2016 | 21 | |
| 11 | 2020 | 18 | |
| 12 | Determining Wind Turbine Gearbox Model Complexity Using Measurement Validation and Cost Comparison: Preprint | 2012 | 18 |
| 13 | 2015 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2024 | 13 | |
| 16 | 2023 | 12 | |
| 17 | Albania: Filling the Vulnerability Gap | 2000 | 12 |
| 18 | 2016 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2018 | 10 |
About William La Cava
William La Cava is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Mechanical Engineering, Molecular Biology and Epidemiology, having authored 61 papers that have together received 793 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (23 papers), Metaheuristic Optimization Algorithms Research (16 papers), Machine Learning and Data Classification (9 papers), Gear and Bearing Dynamics Analysis (7 papers), Congenital Heart Disease Studies (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), ECG Monitoring and Analysis (4 papers) and Mechanical Engineering and Vibrations Research (4 papers). The work is most often cited by research in Health Informatics (22 citations), Artificial Intelligence (393 citations), Control and Systems Engineering (95 citations), Mechanical Engineering (135 citations) and Health Information Management (14 citations). William La Cava has collaborated with scholars based in United States, Portugal and Brazil. Frequent co-authors include Jason H. Moore, Patryk Orzechowski, Ryan J. Urbanowicz, Randal S. Olson, Lee Spector, Kourosh Danai, Yi Guo, Jonathan Keller, Thomas Helmuth and Matthew A. Lackner. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Genetic Programming and Evolvable Machines, IET Renewable Power Generation, Circulation and Health Equity.
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.