Wilka Carvalho

580 total citations
3 papers, 53 citations indexed

About

Wilka Carvalho is a scholar working on Artificial Intelligence, Health and Cognitive Neuroscience. According to data from OpenAlex, Wilka Carvalho has authored 3 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Health and 1 paper in Cognitive Neuroscience. Recurrent topics in Wilka Carvalho's work include Statistical Methods in Epidemiology (1 paper), Neural dynamics and brain function (1 paper) and Health disparities and outcomes (1 paper). Wilka Carvalho is often cited by papers focused on Statistical Methods in Epidemiology (1 paper), Neural dynamics and brain function (1 paper) and Health disparities and outcomes (1 paper). Wilka Carvalho collaborates with scholars based in United States and United Kingdom. Wilka Carvalho's co-authors include Sanjay Purushotham, Yan Liu, William de Cothi, Caswell Barry, Samuel J. Gershman, Honglak Lee, Jongwook Choi and Momchil S. Tomov and has published in prestigious journals such as Neural Computation, arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Wilka Carvalho

3 papers receiving 52 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wilka Carvalho United States	3	37	13	5	5	4	3	53
Mohammad Pezeshki Iran	2	25 0.7×	17 1.3×	6 1.2×	4 0.8×	2 0.5×	3	52
Jacqueline Pan United Kingdom	3	17 0.5×	18 1.4×	2 0.4×	6 1.2×	4 1.0×	3	54
Noah Fiedel	2	29 0.8×	11 0.8×	5 1.0×	7 1.4×	1 0.3×	2	52
Chen-Yu Lee Taiwan	1	28 0.8×	28 2.2×	2 0.4×	4 0.8×	3 0.8×	2	55
Thibault Févry United States	3	58 1.6×	15 1.2×	4 0.8×	7 1.4×	1 0.3×	3	72
Eder Santana United States	5	17 0.5×	10 0.8×	4 0.8×	10 2.0×	2 0.5×	8	41
Fereshte Khani United States	5	41 1.1×	10 0.8×	3 0.6×	2 0.4×		7	59
Quang Pham Singapore	5	52 1.4×	27 2.1×	2 0.4×	2 0.4×	5 1.3×	10	69
Davide Testuggine United States	2	60 1.6×	37 2.8×	4 0.8×	12 2.4×	9 2.3×	2	88
Bedirhan Uzun Türkiye	4	16 0.4×	38 2.9×	4 0.8×	4 0.8×	3 0.8×	7	58

Countries citing papers authored by Wilka Carvalho

Since Specialization

Citations

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

Fields of papers citing papers by Wilka Carvalho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wilka Carvalho

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

All Works

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3 of 3 papers shown

1.

Carvalho, Wilka, Momchil S. Tomov, William de Cothi, Caswell Barry, & Samuel J. Gershman. (2024). Predictive Representations: Building Blocks of Intelligence. Neural Computation. 36(11). 2225–2298. 2 indexed citations

2.

Choi, Jongwook, et al.. (2021). Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning. arXiv (Cornell University). 34. 2 indexed citations

3.

Purushotham, Sanjay, et al.. (2017). Variational Recurrent Adversarial Deep Domain Adaptation. International Conference on Learning Representations. 49 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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