Gabriele Cavallaro

4.7k citations
96 papers · 3.6k indexed · 1 hit paper · h-index 28
Topics
Remote-Sensing Image Classification (30 papers)Remote Sensing in Agriculture (19 papers)Enzyme Structure and Function (13 papers)
Partner nations
IcelandItalyGermany

In The Last Decade

Gabriele Cavallaro

90 papers receiving 3.6k citations

Hit Papers

Metal ions in biological catalysis: from enzyme databases...20082026201420202008250500750

Peers

Gabriele Cavallaro
Comparison fields: 5 of 163
  • Molecular Biology 1.8k
  • Nutrition and Dietetics 606
  • Materials Chemistry 505
  • Media Technology 281
  • Spectroscopy 250
Replace Xiaowen Liu with:
Xiaowen Liu China
Kejian Liu China
P. Carmona Spain
Paul A. Clemons United States
Jinyuan Liu China
Jiangyun Wang China
Jie Zhang China
Peng Zhou China
Hiroshi Sasaki Japan
Haruo Ogawa Japan
Gabriele Cavallaro relative to Xiaowen Liu China Xiaowen Liu's profile →
Citations per field
00.5×3.6×
Xiaowen Liu · 1×
Citations per year

Countries citing papers authored by Gabriele Cavallaro

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Cavallaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Cavallaro

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 0
3 1
4 1
5 0
6 1
7 6
8 10
9 2
10 26
11 31
12
Scaling DBSCAN towards exascale computing for clustering of big data sets
1
13 25
14 8
15 90
16 35
17 5
18 39
19 35
20 24

About Gabriele Cavallaro

Gabriele Cavallaro is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ecology, having authored 96 papers that have together received 3.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (30 papers), Remote Sensing in Agriculture (19 papers) and Enzyme Structure and Function (13 papers). The work is most often cited by research in Nutrition and Dietetics (606 citations), Media Technology (281 citations) and Molecular Biology (1.8k citations). Gabriele Cavallaro has collaborated with scholars based in Iceland, Italy and Germany. Frequent co-authors include Ivano Bertini, Claudia Andreini, Antonio Rosato, Janet M. Thornton, Gemma L. Holliday, Lucia Banci, Jón Atli Benediktsson, Morris Riedel, Antonio Plaza and Daria Mochly‐Rosen. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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