James Robert Lloyd

1.1k total citations
7 papers, 258 citations indexed

About

James Robert Lloyd is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, James Robert Lloyd has authored 7 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Information Systems. Recurrent topics in James Robert Lloyd's work include Gaussian Processes and Bayesian Inference (4 papers), Time Series Analysis and Forecasting (2 papers) and Machine Learning and Data Classification (2 papers). James Robert Lloyd is often cited by papers focused on Gaussian Processes and Bayesian Inference (4 papers), Time Series Analysis and Forecasting (2 papers) and Machine Learning and Data Classification (2 papers). James Robert Lloyd collaborates with scholars based in United Kingdom, United States and France. James Robert Lloyd's co-authors include Zoubin Ghahramani, Joshua B. Tenenbaum, Roger Grosse, David Duvenaud, Peter Orbanz, Daniel M. Roy, Zoubin Ghahramani, Tomoharu Iwata, Isabelle Guyon and Sérgio Escalera and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Forecasting and Neural Information Processing Systems.

In The Last Decade

James Robert Lloyd

7 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Robert Lloyd United Kingdom	6	133	71	38	36	31	7	258
Paola Bermolen Uruguay	7	96 0.7×	43 0.6×	19 0.5×	8 0.2×	15 0.5×	26	220
T. Ravi India	9	122 0.9×	60 0.8×	10 0.3×	14 0.4×	18 0.6×	17	257
Carlos Brito Brazil	8	87 0.7×	31 0.4×	6 0.2×	29 0.8×	42 1.4×	26	301
Trong Nghia Hoang United States	11	259 1.9×	19 0.3×	9 0.2×	37 1.0×	9 0.3×	27	329
Ahlame Douzal-Chouakria France	8	111 0.8×	65 0.9×	5 0.1×	13 0.4×	25 0.8×	13	254
R.D. Turner Germany	6	143 1.1×	20 0.3×	7 0.2×	28 0.8×	16 0.5×	9	232
George Tambouratzis Greece	10	199 1.5×	18 0.3×	6 0.2×	39 1.1×	11 0.4×	65	329
Rafael Morales-Bueno Spain	9	375 2.8×	42 0.6×	8 0.2×	46 1.3×	5 0.2×	22	427
Sabariah Baharun Malaysia	13	76 0.6×	189 2.7×	10 0.3×	11 0.3×	6 0.2×	66	578

Countries citing papers authored by James Robert Lloyd

Since Specialization

Citations

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

Fields of papers citing papers by James Robert Lloyd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Robert Lloyd. 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 James Robert Lloyd. The network helps show where James Robert Lloyd may publish in the future.

Co-authorship network of co-authors of James Robert Lloyd

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

All Works

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7 of 7 papers shown

Guyon, Isabelle, Hugo Jair Escalante, Sérgio Escalera, et al.. (2016). A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. SPIRE - Sciences Po Institutional REpository. 28 indexed citations

Lloyd, James Robert & Zoubin Ghahramani. (2015). Statistical model criticism using kernel two sample tests. Neural Information Processing Systems. 28. 829–837. 26 indexed citations

Iwata, Tomoharu, James Robert Lloyd, & Zoubin Ghahramani. (2015). Unsupervised Many-to-Many Object Matching for Relational Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(3). 607–617. 8 indexed citations

Lloyd, James Robert, David Duvenaud, Roger Grosse, Joshua B. Tenenbaum, & Zoubin Ghahramani. (2014). Automatic Construction and Natural-Language Description of Nonparametric Regression Models. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 69 indexed citations

Lloyd, James Robert. (2013). GEFCom2012 hierarchical load forecasting: Gradient boosting machines and Gaussian processes. International Journal of Forecasting. 30(2). 369–374. 78 indexed citations

Hernández-Lobato, José Miguel, James Robert Lloyd, & Daniel Hernández-Lobato. (2013). Gaussian Process Conditional Copulas with Applications to Financial Time Series. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 26. 1736–1744. 5 indexed citations

Lloyd, James Robert, Peter Orbanz, Zoubin Ghahramani, & Daniel M. Roy. (2012). Random function priors for exchangeable arrays with applications to graphs and relational data. 25. 998–1006. 44 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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