Aaron D’Souza

866 total citations
14 papers, 597 citations indexed

About

Aaron D’Souza is a scholar working on Artificial Intelligence, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Aaron D’Souza has authored 14 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 3 papers in Signal Processing. Recurrent topics in Aaron D’Souza's work include Gaussian Processes and Bayesian Inference (7 papers), Sparse and Compressive Sensing Techniques (3 papers) and Fault Detection and Control Systems (3 papers). Aaron D’Souza is often cited by papers focused on Gaussian Processes and Bayesian Inference (7 papers), Sparse and Compressive Sensing Techniques (3 papers) and Fault Detection and Control Systems (3 papers). Aaron D’Souza collaborates with scholars based in United States, United Kingdom and Japan. Aaron D’Souza's co-authors include Stefan Schaal, Sethu Vijayakumar, Jo-Anne Ting, Tomohiro Shibata, Jörg Conradt, Shinji Kakei, John Kalaska, Kenji Yamamoto, Toshinori Yoshioka and Lauren E. Sergio and has published in prestigious journals such as Neural Computation, Neural Networks and Autonomous Robots.

In The Last Decade

Aaron D’Souza

13 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aaron D’Souza United States	10	298	262	133	105	100	14	597
Judy A. Franklin United States	7	306 1.0×	210 0.8×	209 1.6×	52 0.5×	83 0.8×	27	534
Giovanni De Magistris Japan	12	221 0.7×	181 0.7×	155 1.2×	33 0.3×	71 0.7×	29	575
Abdeslam Boularias United States	16	392 1.3×	377 1.4×	164 1.2×	44 0.4×	253 2.5×	59	782
Jo-Anne Ting United States	12	153 0.5×	227 0.9×	65 0.5×	66 0.6×	149 1.5×	17	504
Carl Henrik Ek Sweden	18	463 1.6×	285 1.1×	233 1.8×	110 1.0×	419 4.2×	67	980
Chin‐Shyurng Fahn Taiwan	12	99 0.3×	97 0.4×	59 0.4×	48 0.5×	203 2.0×	55	500
J.M. Izquierdo Spain	17	203 0.7×	249 1.0×	24 0.2×	105 1.0×	63 0.6×	55	731
Matteo Saveriano Italy	13	391 1.3×	161 0.6×	158 1.2×	70 0.7×	191 1.9×	65	609
David A. Handelman United States	9	278 0.9×	245 0.9×	28 0.2×	40 0.4×	36 0.4×	28	484
H. Daniel Patiño Argentina	11	203 0.7×	121 0.5×	38 0.3×	117 1.1×	62 0.6×	29	555

Countries citing papers authored by Aaron D’Souza

Since Specialization

Citations

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

Fields of papers citing papers by Aaron D’Souza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron D’Souza. 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 Aaron D’Souza. The network helps show where Aaron D’Souza may publish in the future.

Co-authorship network of co-authors of Aaron D’Souza

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Mishra, Ashutosh Kumar, et al.. (2025). Advanced Temperature Forecasting in Major Indian Cities: A Comparative Study of SARIMA, Prophet, and XGBoost Models. 838–843.

Ting, Jo-Anne, Aaron D’Souza, & Stefan Schaal. (2010). Bayesian robot system identification with input and output noise. Neural Networks. 24(1). 99–108. 24 indexed citations

Ting, Jo-Anne, Aaron D’Souza, Sethu Vijayakumar, & Stefan Schaal. (2009). Efficient Learning and Feature Selection in High-Dimensional Regression. Neural Computation. 22(4). 831–886. 17 indexed citations

Ting, Jo-Anne, Aaron D’Souza, Kenji Yamamoto, et al.. (2008). Variational Bayesian least squares: An application to brain–machine interface data. Neural Networks. 21(8). 1112–1131. 26 indexed citations

Ting, Jo-Anne, Aaron D’Souza, Sethu Vijayakumar, & Stefan Schaal. (2008). A Bayesian approach to empirical local linearization for robotics. ERA. 2860–2865. 13 indexed citations

Ting, Jo-Anne, Aaron D’Souza, & Stefan Schaal. (2007). Automatic Outlier Detection: A Bayesian Approach. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 2489–2494. 26 indexed citations

Ting, Jo-Anne, Aaron D’Souza, & Stefan Schaal. (2006). Bayesian regression with input noise for high dimensional data. 937–944. 9 indexed citations

Vijayakumar, Sethu, Aaron D’Souza, & Stefan Schaal. (2005). LWPR: A Scalable Method for Incremental Online Learning in High Dimensions. ERA. 15 indexed citations

Vijayakumar, Sethu, Aaron D’Souza, & Stefan Schaal. (2005). Incremental Online Learning in High Dimensions. Neural Computation. 17(12). 2602–2634. 374 indexed citations

10.

Ting, Jo-Anne, Aaron D’Souza, Kenji Yamamoto, et al.. (2005). Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares. 18. 1361–1368. 10 indexed citations

11.

Schaal, Stefan & Aaron D’Souza. (2004). Towards tractable parameter-free statistical learning. 3 indexed citations

12.

D’Souza, Aaron, Sethu Vijayakumar, & Stefan Schaal. (2004). The Bayesian backfitting relevance vector machine. ERA. 31–31. 18 indexed citations

13.

Vijayakumar, Sethu, Aaron D’Souza, Tomohiro Shibata, Jörg Conradt, & Stefan Schaal. (2002). Statistical Learning for Humanoid Robots. Autonomous Robots. 12(1). 55–69. 59 indexed citations

14.

Schaal, Stefan, Sethu Vijayakumar, Aaron D’Souza, Auke Jan Ijspeert, & Jun Nakanishi. (2001). Real-time statistical learning for robotics and human augmentation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 117–124. 3 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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