Julius Leite

441 citations
24 papers · 314 · h-index 10

Impact in

Papers in

Julius Leite

23 papers receiving 303 citations

Peers

Julius Leite
Comparison fields: 5 of 37
  • Hardware and Architecture 83
  • Computer Networks and Communications 243
  • Information Systems 210
  • Computer Vision and Pattern Recognition 46
  • Software 8
Replace Orlando Loques with:
Orlando Loques Brazil
Zhifeng Yu United States
Hwa-Chun Lin Taiwan
Virajith Jalaparti United States
Lauritz Thamsen Germany
Yongxin Zhao China
Bin Nie United States
Morris A. Jette United States
Hidenori Nakazato Japan
Tom Fitzpatrick United Kingdom
Julius Leite relative to Orlando Loques Brazil Orlando Loques's profile →
Citations per field
00.5×1.5×
Orlando Loques · 1×
Citations per year

Countries citing papers authored by Julius Leite

Since Specialization
Citations

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

Fields of papers citing papers by Julius Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Julius Leite, 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 Julius Leite Line = papers co-authored together Julius Leite links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201161
2 200942
3 200735
4 200932
5 201026
6 201218
7 200818
8 201114
9 200212
10 200911
11 20139
12 19988
13 20105
14 20105
15 20105
16 20143
17 20022
18 20022
19 20112
20 19991

About Julius Leite

Julius Leite is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 24 papers that have together received 314 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Distributed and Parallel Computing Systems (7 papers), Caching and Content Delivery (6 papers), Real-Time Systems Scheduling (4 papers), Software Reliability and Analysis Research (4 papers), Software System Performance and Reliability (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Hardware and Architecture (83 citations), Computer Networks and Communications (243 citations), Information Systems (210 citations), Computer Vision and Pattern Recognition (46 citations) and Software (8 citations). Julius Leite has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Daniel Mossé, Orlando Loques, Enrique V. Carrera, Vinícius Petrucci, Dara Kusic, Gerhard Fohler, Antônio Cláudio Lucas da Nóbrega, Mário Fritsch Neves, Andre Barroso and Edmundo de Souza e Silva. Their work appears in journals such as Journal of Systems and Software, Decision Support Systems, Software & Systems Modeling, Information Processing Letters and Cluster Computing.

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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