Jorge Balazs

589 total citations
11 papers, 366 citations indexed

About

Jorge Balazs is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jorge Balazs has authored 11 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Jorge Balazs's work include Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Natural Language Processing Techniques (4 papers). Jorge Balazs is often cited by papers focused on Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Natural Language Processing Techniques (4 papers). Jorge Balazs collaborates with scholars based in Japan, Chile and Austria. Jorge Balazs's co-authors include Juan D. Velásquez, Yutaka Matsuo, Edison Marrese-Taylor, Suzana Ilić, Pablo Loyola, Fumiko Satoh, Cheng Wang, Yutaka Matsuo, Patrick Erñst and György Szarvas and has published in prestigious journals such as Information Fusion and Pacific Asia Conference on Language, Information, and Computation.

In The Last Decade

Jorge Balazs

11 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jorge Balazs Japan	7	251	79	41	32	27	11	366
Lourens van der Meij Netherlands	9	228 0.9×	70 0.9×	43 1.0×	43 1.3×	28 1.0×	15	368
Johannes Knopp Germany	3	345 1.4×	71 0.9×	26 0.6×	46 1.4×	12 0.4×	6	441
Seema Nagar India	13	251 1.0×	106 1.3×	43 1.0×	53 1.7×	26 1.0×	33	431
Yonghui Dai China	9	115 0.5×	58 0.7×	32 0.8×	62 1.9×	22 0.8×	48	324
Zulfiqar Ali Memon Pakistan	12	94 0.4×	96 1.2×	49 1.2×	23 0.7×	27 1.0×	46	321
Jean‐Gabriel Ganascia France	13	227 0.9×	85 1.1×	53 1.3×	62 1.9×	45 1.7×	79	475
Cosimo Birtolo Italy	10	87 0.3×	155 2.0×	39 1.0×	45 1.4×	25 0.9×	17	272
Joseph Chee Chang United States	8	171 0.7×	103 1.3×	26 0.6×	67 2.1×	14 0.5×	21	366
Ranjan Satapathy Singapore	11	315 1.3×	56 0.7×	28 0.7×	59 1.8×	10 0.4×	25	420
Ilia Shumailov United Kingdom	8	188 0.7×	68 0.9×	53 1.3×	38 1.2×	13 0.5×	19	396

Countries citing papers authored by Jorge Balazs

Since Specialization

Citations

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

Fields of papers citing papers by Jorge Balazs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Balazs

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Balazs. A scholar is included among the top collaborators of Jorge Balazs 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 Jorge Balazs. Jorge Balazs 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:

11 of 11 papers shown

1.

Wang, Cheng, et al.. (2022). Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study. 145–153. 2 indexed citations

2.

Marrese-Taylor, Edison, Pablo Loyola, Jorge Balazs, & Yutaka Matsuo. (2020). Learning to Describe Editing Activities in Collaborative Environments: A Case Study on GitHub and Wikipedia.. Pacific Asia Conference on Language, Information, and Computation. 188–198. 1 indexed citations

3.

Balazs, Jorge & Yutaka Matsuo. (2019). Gating Mechanisms for Combining Character and Word-level Word Representations: an Empirical Study. 110–124. 3 indexed citations

4.

Balazs, Jorge, Edison Marrese-Taylor, & Yutaka Matsuo. (2018). IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations. 50–56. 9 indexed citations

5.

Loyola, Pablo, Edison Marrese-Taylor, Jorge Balazs, Yutaka Matsuo, & Fumiko Satoh. (2018). Content Aware Source Code Change Description Generation. 119–128. 18 indexed citations

6.

Ilić, Suzana, Edison Marrese-Taylor, Jorge Balazs, & Yutaka Matsuo. (2018). Deep contextualized word representations for detecting sarcasm and irony. 78 indexed citations

7.

Marrese-Taylor, Edison, Jorge Balazs, & Yutaka Matsuo. (2017). Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN. 102–111. 14 indexed citations

8.

Balazs, Jorge, Edison Marrese-Taylor, Pablo Loyola, & Yutaka Matsuo. (2017). Refining Raw Sentence Representations for Textual Entailment Recognition via Attention. 51–55. 9 indexed citations

9.

Balazs, Jorge, et al.. (2016). Predicting Web User Click Intention Using Pupil Dilation and Electroencephalogram Analysis. 417–420. 5 indexed citations

10.

Balazs, Jorge, et al.. (2016). Combining eye tracking, pupil dilation and EEG analysis for predicting web users click intention. Information Fusion. 35. 51–57. 52 indexed citations

11.

Balazs, Jorge & Juan D. Velásquez. (2015). Opinion Mining and Information Fusion: A survey. Information Fusion. 27. 95–110. 175 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.

Explore authors with similar magnitude of impact