Fabiano C. Botelho

450 citations
10 papers · 112 indexed · h-index 6

Fabiano C. Botelho

9 papers receiving 102 citations

Peers

Fabiano C. Botelho
Comparison fields: 5 of 24
  • Computer Networks and Communications 71
  • Information Systems 60
  • Artificial Intelligence 48
  • Hardware and Architecture 9
  • Computer Vision and Pattern Recognition 25
Replace Franz Faerber with:
Franz Faerber Germany
Vijay Dialani United States
C. R. Kavitha India
Thorsten Schütt Germany
Georgia Koloniari Greece
Riadh Robbana Tunisia
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Marc Lacoste France
Daoguang Zan China
Julian Loss Germany
Fabiano C. Botelho relative to Franz Faerber Germany Franz Faerber's profile →
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Citations per year

Countries citing papers authored by Fabiano C. Botelho

Since Specialization
Citations

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

Fields of papers citing papers by Fabiano C. Botelho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabiano C. Botelho. 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 Fabiano C. Botelho. The network helps show where Fabiano C. Botelho may publish in the future.

Co-authorship network

The 12 scholars most cited alongside Fabiano C. Botelho, 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 Fabiano C. Botelho Line = papers co-authored together Fabiano C. Botelho links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
The logic of physical garbage collection in deduplicating storage
201718
2
Practical Perfect Hashing Algorithm in Nearly Optimal Space
20130
3 201329
4 201220
5
Using Taxonomies for Product Recommendation
20127
6 20114
7 200911
8
Indexing internal memory with minimal perfect hash functions
20081
9 20082
10 200720

About Fabiano C. Botelho

Fabiano C. Botelho is a scholar working on Computer Vision and Pattern Recognition, Discrete Mathematics and Combinatorics and Computer Networks and Communications, having authored 10 papers that have together received 112 indexed citations. Recurring topics across this work include Caching and Content Delivery (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Algorithms and Data Compression (5 papers), Advanced Data Storage Technologies (2 papers), Recommender Systems and Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper), Markov Chains and Monte Carlo Methods (1 paper) and Topological and Geometric Data Analysis (1 paper). The work is most often cited by research in Computer Networks and Communications (71 citations), Information Systems (60 citations) and Artificial Intelligence (48 citations). Fabiano C. Botelho has collaborated with scholars based in Brazil, Denmark and Canada. Frequent co-authors include Nívio Ziviani, Philip Shilane, Rasmus Pagh, Nitin Garg, Windsor Hsu, Anísio Lacerda, Tony Wong, Fred Douglis, Wagner Meira and Altigran Soares da Silva. Their work appears in journals such as Information Sciences, Information Systems, Information Systems Journal, Information Processing Letters and Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais).

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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