José Luis Ambite

6.1k total citations
105 papers, 1.8k citations indexed

About

José Luis Ambite is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, José Luis Ambite has authored 105 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Artificial Intelligence, 37 papers in Computer Networks and Communications and 29 papers in Information Systems. Recurrent topics in José Luis Ambite's work include Semantic Web and Ontologies (45 papers), Advanced Database Systems and Queries (35 papers) and Data Management and Algorithms (23 papers). José Luis Ambite is often cited by papers focused on Semantic Web and Ontologies (45 papers), Advanced Database Systems and Queries (35 papers) and Data Management and Algorithms (23 papers). José Luis Ambite collaborates with scholars based in United States, India and Taiwan. José Luis Ambite's co-authors include Craig A. Knoblock, Steven Minton, Snehal Thakkar, Andrew Philpot, Naveen Ashish, Ion Muslea, Sheila Tejada, Cyrus Shahabi, Yao‐Yi Chiang and Maria Muslea and has published in prestigious journals such as Nature Communications, Bioinformatics and NeuroImage.

In The Last Decade

José Luis Ambite

96 papers receiving 1.6k citations

Peers

Countries citing papers authored by José Luis Ambite

Since Specialization

Citations

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

Fields of papers citing papers by José Luis Ambite

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Luis Ambite. 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 José Luis Ambite. The network helps show where José Luis Ambite may publish in the future.

Co-authorship network of co-authors of José Luis Ambite

This figure shows the co-authorship network connecting the top 25 collaborators of José Luis Ambite. A scholar is included among the top collaborators of José Luis Ambite 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 José Luis Ambite. José Luis Ambite 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	Acute Angle Closure Incidence in a Large Countywide Safety Net Teleretinal Screening Program 2025 ·JAMA Ophthalmology ·(unknown), Benjamin Y. Xu, (unknown), (unknown), Carl Kesselman, José Luis Ambite, (unknown), L. Jiun, Brandon Wong, (unknown)	0
2	Enabling Scientific Reproducibility through FAIR Data Management: An ontology-driven deep learning approach in the NeuroBridge Project. 2025 ·PubMed ·Abhishek Appaji, Lei Wang, Matthew D. Turner, Satya S. Sahoo, Stephen Moore, José Luis Ambite, (unknown), Yue Wang, Arcot Rajasekar, Jessica A. Turner, Xiaochen Wang	1
3	Comparison of deep learning architectures for predicting amyloid positivity in Alzheimer’s disease, mild cognitive impairment, and healthy aging, from T1-weighted brain structural MRI 2024 ·Frontiers in Neuroscience ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Sophia I. Thomopoulos, Greg Ver Steeg, José Luis Ambite, Paul M. Thompson	6
4	A federated learning architecture for secure and private neuroimaging analysis 2024 ·Patterns ·(unknown), Umang Gupta, Hamza Saleem, (unknown), (unknown), (unknown), (unknown), Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite	11
5	q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomics 2024 ·Communications Biology ·(unknown), Russell Littman, Francesca Battaglin, Donna Niedzwiecki, Alan P. Venook, José Luis Ambite, Aram Galstyan, Heinz‐Josef Lenz, Greg Ver Steeg	0
6	NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data 2023 ·Frontiers in Neuroinformatics ·Lei Wang, José Luis Ambite, Abhishek Appaji, Janine Bijsterbosch, (unknown), Rick Herrick, (unknown), (unknown), Daniel C. Marcus, Stephen Moore, Jean‐Baptiste Poline, Arcot Rajasekar, Satya S. Sahoo, Matthew D. Turner, Xiaochen Wang, Yue Wang, Jessica A. Turner	4
7	Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings 2022 ·ACM Transactions on Intelligent Systems and Technology ·(unknown), Paul M. Thompson, José Luis Ambite	28
8	Rapid detection of identity-by-descent tracts for mega-scale datasets 2021 ·Nature Communications ·(unknown), Gillian M. Belbin, Christy L. Avery, Eimear E. Kenny, Christopher R. Gignoux, José Luis Ambite	21
9	W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets 2021 ·Sensors ·Kenan Li, (unknown), John L. Morrison, Rima Habre, Meredith Franklin, Yao‐Yi Chiang, Katherine Sward, Frank D. Gilliland, José Luis Ambite, Sandrah P. Eckel	0
10	BD2K Training Coordinating Center's ERuDIte: The Educational Resource Discovery Index for Data Science 2019 ·IEEE Transactions on Emerging Topics in Computing ·José Luis Ambite, (unknown), Jonathan Gordon, Gully Burns, (unknown), Kristina Lerman, John D. Van Horn	5
11	Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors’ Data 2018 ·JMIR mhealth and uhealth ·Kenan Li, Rima Habre, Huiyu Deng, Robert Urman, John L. Morrison, Frank D. Gilliland, José Luis Ambite, (unknown), Yao‐Yi Chiang, Yijun Lin, Alex Bui, Christine King, (unknown), Eleanne van Vliet, Majid Sarrafzadeh, Sandrah P. Eckel	35
12	Exploring Label Dependency in Active Learning for Phenotype Mapping 2012 ·North American Chapter of the Association for Computational Linguistics ·Shefali Sharma, Leslie A. Lange, José Luis Ambite, Yigal Arens, Chun‐Nan Hsu	0
13	Linking the Deep Web to the Linked DataWeb 2010 ·National Conference on Artificial Intelligence ·(unknown), Craig A. Knoblock, José Luis Ambite	1
14	Beyond the Elves : Making Intelligent Agents Intelligent 2008 ·AI Magazine ·Craig A. Knoblock, José Luis Ambite, Mark Carman, Matthew Michelson, Pedro Szekely, Rattapoom Tuchinda	2
15	Argos: an ontology and web service composition infrastructure for goods movement analysis 2004 ·International Conference on Digital Government Research ·José Luis Ambite, Geneviève Giuliano, Peter Gordon, Stefan Decker, Andreas Harth, (unknown), Qisheng Pan, (unknown)	11
16	A portal for access to complex distributed information about energy 2002 ·International Conference on Digital Government Research ·José Luis Ambite, Yigal Arens, (unknown), (unknown), Eduard Hovy, Judith L. Klavans, Andrew Philpot, (unknown), (unknown), Ju-Ling Shih, Peter Sommer, (unknown), (unknown)	2
17	Getting from here to there: interactive planning and agent execution for optimizing travel 2002 ·National Conference on Artificial Intelligence ·José Luis Ambite, Greg Barish, Craig A. Knoblock, Maria Muslea, Jean Oh, Steven Minton	42
18	The WorlInfo Assistant: Spatio-Temporal Information Integration on the Web 2001 ·Very Large Data Bases ·José Luis Ambite, Craig A. Knoblock, Mohammad R. Kolahdouzan, Maria Muslea, Cyrus Shahabi, Snehal Thakkar	4
19	Flexible and scalable query planning in distributed and heterogeneous environments 1998 ·José Luis Ambite, Craig A. Knoblock	20
20	Planning by rewriting: efficiently generating high-quality plans 1997 ·National Conference on Artificial Intelligence ·José Luis Ambite, Craig A. Knoblock	49

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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