Sandro Cavallari

727 total citations
8 papers, 500 citations indexed

About

Sandro Cavallari is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sandro Cavallari has authored 8 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sandro Cavallari's work include Topic Modeling (4 papers), Complex Network Analysis Techniques (3 papers) and Text and Document Classification Technologies (3 papers). Sandro Cavallari is often cited by papers focused on Topic Modeling (4 papers), Complex Network Analysis Techniques (3 papers) and Text and Document Classification Technologies (3 papers). Sandro Cavallari collaborates with scholars based in Singapore, United States and Australia. Sandro Cavallari's co-authors include Erik Cambria, Vincent W. Zheng, Kevin Chen–Chuan Chang, Hongyun Cai, Iti Chaturvedi, Ranjan Satapathy, Roy E. Welsch, Yang Li and Hoang Nguyen and has published in prestigious journals such as Neurocomputing, Pattern Recognition Letters and IEEE Computational Intelligence Magazine.

In The Last Decade

Sandro Cavallari

8 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sandro Cavallari Singapore	6	387	199	84	63	52	8	500
Mrinmaya Sachan Switzerland	16	733 1.9×	124 0.6×	194 2.3×	96 1.5×	48 0.9×	93	879
Yozen Liu United States	6	258 0.7×	63 0.3×	75 0.9×	93 1.5×	13 0.3×	21	361
Dónal Doyle Ireland	5	170 0.4×	276 1.4×	54 0.6×	46 0.7×	23 0.4×	9	421
Zhizhi Yu China	7	324 0.8×	249 1.3×	55 0.7×	76 1.2×	9 0.2×	20	452
Sanasam Ranbir Singh India	10	223 0.6×	84 0.4×	34 0.4×	66 1.0×	12 0.2×	61	326
Ken Wakita Japan	6	94 0.2×	206 1.0×	80 1.0×	41 0.7×	10 0.2×	19	365
Christine Largeron France	10	140 0.4×	81 0.4×	87 1.0×	60 1.0×	8 0.2×	33	294
Robert Frederking United States	15	539 1.4×	45 0.2×	51 0.6×	133 2.1×	19 0.4×	58	655
Vincent Labatut France	12	85 0.2×	143 0.7×	35 0.4×	34 0.5×	16 0.3×	34	278

Countries citing papers authored by Sandro Cavallari

Since Specialization

Citations

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

Fields of papers citing papers by Sandro Cavallari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandro Cavallari

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

8 of 8 papers shown

1.

Chaturvedi, Iti, et al.. (2021). Predicting video engagement using heterogeneous DeepWalk. Neurocomputing. 465. 228–237. 14 indexed citations

2.

Nguyen, Hoang & Sandro Cavallari. (2020). Neural Multi-task Text Normalization and Sanitization with Pointer-Generator. 37–47. 3 indexed citations

3.

Chaturvedi, Iti, Erik Cambria, Sandro Cavallari, & Roy E. Welsch. (2020). Genetic Programming for Domain Adaptation in Product Reviews. 1–8. 11 indexed citations

4.

Cavallari, Sandro, et al.. (2019). Embedding Both Finite and Infinite Communities on Graphs [Application Notes]. IEEE Computational Intelligence Magazine. 14(3). 39–50. 65 indexed citations

5.

Chaturvedi, Iti, Ranjan Satapathy, Sandro Cavallari, & Erik Cambria. (2019). Fuzzy commonsense reasoning for multimodal sentiment analysis. Pattern Recognition Letters. 125. 264–270. 144 indexed citations

6.

Satapathy, Ranjan, Yang Li, Sandro Cavallari, & Erik Cambria. (2019). Seq2Seq Deep Learning Models for Microtext Normalization. 1–8. 19 indexed citations

7.

Chaturvedi, Iti, Erik Cambria, Sandro Cavallari, & Vincent W. Zheng. (2017). Learning word vectors in Deep Walk using convolution. ResearchOnline at James Cook University (James Cook University). 323–328. 4 indexed citations

8.

Cavallari, Sandro, Vincent W. Zheng, Hongyun Cai, Kevin Chen–Chuan Chang, & Erik Cambria. (2017). Learning Community Embedding with Community Detection and Node Embedding on Graphs. 377–386. 240 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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