Caetano Traina

4.9k citations
222 papers · 2.2k indexed · h-index 21

Impact in

Papers in

Caetano Traina

203 papers receiving 2.0k citations

Peers

Caetano Traina
Comparison fields: 5 of 133
  • Signal Processing 763
  • Computer Vision and Pattern Recognition 1.0k
  • Artificial Intelligence 825
  • Occupational Therapy 75
  • Information Systems 391
Replace Agma J. M. Traina with:
Agma J. M. Traina Brazil
En Zhu China
Wei Peng United States
Floriana Esposito Italy
Jin Huang China
Sheng‐De Wang Taiwan
Ben Kao Hong Kong
Honghua Dai Australia
Bryan Hooi Singapore
Jyotsna Kumar Mandal India
Caetano Traina relative to Agma J. M. Traina Brazil Agma J. M. Traina's profile →
Citations per field
00.5×1.5×
Agma J. M. Traina · 1×
Citations per year

Countries citing papers authored by Caetano Traina

Since Specialization
Citations

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

Fields of papers citing papers by Caetano Traina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Caetano Traina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caetano Traina Line = papers co-authored together Caetano Traina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20221
4 20222
5 20212
6 202112
7 20211
8 20193
9 20186
10 20141
11
Seamless Integration of Distance Functions and Feature Vectors for Similarity-Queries Processing
20145
12
Using Pivots to Speed-Up k-Medoids Clustering
201112
13
Fractal-based Analysis to Identify Trend Changes in Multiple Climate Time Series
20119
14
Nearest Neighbor Queries with Counting Aggregate-based Conditions
20111
15 20091
16
Reconciliando dados de cunho acadêmico
20082
17
Bulk-loading Dynamic Metric Access Methods.
20072
18 20065
19 20045
20
Visually Mining on Multiple Relational Tables at Once.
20022

About Caetano Traina

Caetano Traina is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Health Informatics and Computer Networks and Communications, having authored 222 papers that have together received 2.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (86 papers), Advanced Image and Video Retrieval Techniques (78 papers), Image Retrieval and Classification Techniques (77 papers), Advanced Database Systems and Queries (36 papers), Data Mining Algorithms and Applications (31 papers), Algorithms and Data Compression (21 papers), Time Series Analysis and Forecasting (18 papers) and Data Visualization and Analytics (17 papers). The work is most often cited by research in Signal Processing (763 citations), Computer Vision and Pattern Recognition (1.0k citations), Artificial Intelligence (825 citations), Occupational Therapy (75 citations) and Information Systems (391 citations). Caetano Traina has collaborated with scholars based in Brazil, United States and Moldova. Frequent co-authors include Agma J. M. Traina, Christos Faloutsos, Paulo Mazzoncini de Azevedo‐Marques, Marcela Xavier Ribeiro, Bernhard Seeger, Humberto Razente, Marcos R. Vieira, Maria Camila N. Barioni, Joaquim Cezar Felipe and Robson L. F. Cordeiro. Their work appears in journals such as Information Systems, Data & Knowledge Engineering, Computer Methods and Programs in Biomedicine, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

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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