Danilo Horta

531 total citations
10 papers, 229 citations indexed

About

Danilo Horta is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Danilo Horta has authored 10 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Danilo Horta's work include Advanced Clustering Algorithms Research (6 papers), Data Management and Algorithms (5 papers) and Data Mining Algorithms and Applications (5 papers). Danilo Horta is often cited by papers focused on Advanced Clustering Algorithms Research (6 papers), Data Management and Algorithms (5 papers) and Data Mining Algorithms and Applications (5 papers). Danilo Horta collaborates with scholars based in Brazil, United Kingdom and Germany. Danilo Horta's co-authors include Ricardo J. G. B. Campello, Oliver Stegle, Francesco Paolo Casale, Rachel Moore, Inês Barroso, Lude Franke, Marc Jan Bonder, Anna Cuomo, David Heckerman and Jennifer Listgarten and has published in prestigious journals such as Nature Genetics, Bioinformatics and PLoS Genetics.

In The Last Decade

Danilo Horta

10 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danilo Horta Brazil	8	111	84	47	27	17	10	229
Eric Yi Liu United States	9	170 1.5×	95 1.1×	41 0.9×	44 1.6×	20 1.2×	15	284
Christine Sinoquet France	7	99 0.9×	119 1.4×	57 1.2×	18 0.7×	13 0.8×	18	245
Lars Wienbrandt Germany	9	75 0.7×	101 1.2×	47 1.0×	17 0.6×	8 0.5×	18	188
Sylvain Guillemot France	8	49 0.4×	89 1.1×	32 0.7×	17 0.6×	7 0.4×	15	189
Kenneth H. Fasman United States	6	35 0.3×	232 2.8×	40 0.9×	13 0.5×	9 0.5×	7	293
Ydo Wexler Israel	8	66 0.6×	188 2.2×	48 1.0×	23 0.9×	8 0.5×	20	255
Hua Hua China	7	112 1.0×	47 0.6×	33 0.7×	134 5.0×	10 0.6×	28	275
Zhiting Xu China	9	63 0.6×	26 0.3×	69 1.5×	6 0.2×	19 1.1×	21	187
Advait Balaji United States	8	23 0.2×	188 2.2×	40 0.9×	33 1.2×	4 0.2×	14	307
Hal Sudborough United States	5	68 0.6×	49 0.6×	56 1.2×	29 1.1×	5 0.3×	11	130

Countries citing papers authored by Danilo Horta

Since Specialization

Citations

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

Fields of papers citing papers by Danilo Horta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danilo Horta

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

All Works

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10 of 10 papers shown

1.

Cuomo, Anna, et al.. (2022). CellRegMap : a statistical framework for mapping context‐specific regulatory variants using scRNA ‐seq. Molecular Systems Biology. 18(8). e10663–e10663. 23 indexed citations

2.

Moore, Rachel, Francesco Paolo Casale, Marc Jan Bonder, et al.. (2018). A linear mixed-model approach to study multivariate gene–environment interactions. Nature Genetics. 51(1). 180–186. 103 indexed citations

3.

Casale, Francesco Paolo, Danilo Horta, Barbara Rakitsch, & Oliver Stegle. (2017). Joint genetic analysis using variant sets reveals polygenic gene-context interactions. PLoS Genetics. 13(4). e1006693–e1006693. 13 indexed citations

4.

Horta, Danilo & Ricardo J. G. B. Campello. (2014). Similarity Measures for Comparing Biclusterings. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11(5). 942–954. 23 indexed citations

5.

Lippert, Christoph, Jing Xiang, Danilo Horta, et al.. (2014). Greater power and computational efficiency for kernel-based association testing of sets of genetic variants. Bioinformatics. 30(22). 3206–3214. 25 indexed citations

6.

Horta, Danilo & Ricardo J. G. B. Campello. (2012). Automatic aspect discrimination in data clustering. Pattern Recognition. 45(12). 4370–4388. 12 indexed citations

7.

Horta, Danilo, et al.. (2011). Evolutionary fuzzy clustering of relational data. Theoretical Computer Science. 412(42). 5854–5870. 14 indexed citations

8.

Horta, Danilo & Ricardo J. G. B. Campello. (2011). Automatic aspect discrimination in relational data clustering. 3. 522–529. 1 indexed citations

9.

Horta, Danilo & Ricardo J. G. B. Campello. (2010). Evolutionary clustering of relational data. International Journal of Hybrid Intelligent Systems. 7(4). 261–281. 7 indexed citations

10.

Horta, Danilo & Ricardo J. G. B. Campello. (2009). Fast Evolutionary Algorithms for Relational Clustering. 17. 1456–1462. 8 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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