Daniel Macêdo Batista
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Co-authors
- Nelson L. S. da FonsecaAnna LiuMohammad AlomariSherif SakrGustavo B. FigueiredoRoberto HirataFlávio K. MiyazawaMichele Nogueira
- Topics
- Cloud Computing and Resource Management (24 papers)Software-Defined Networks and 5G (19 papers)Distributed and Parallel Computing Systems (19 papers)
- Partner nations
- BrazilUnited StatesPeru
In The Last Decade
Daniel Macêdo Batista
80 papers receiving 908 citations
Peers
Comparison fields: 5 of 75
- Computer Networks and Communications 670
- Information Systems 421
- Electrical and Electronic Engineering 200
- Artificial Intelligence 195
- Signal Processing 99
Countries citing papers authored by Daniel Macêdo Batista
This map shows the geographic impact of Daniel Macêdo Batista'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 Daniel Macêdo Batista with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Macêdo Batista more than expected).
Fields of papers citing papers by Daniel Macêdo Batista
This network shows the impact of papers produced by Daniel Macêdo Batista. 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 Daniel Macêdo Batista. The network helps show where Daniel Macêdo Batista may publish in the future.
Co-authorship network of co-authors of Daniel Macêdo Batista
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Macêdo Batista. A scholar is included among the top collaborators of Daniel Macêdo Batista 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 Daniel Macêdo Batista. Daniel Macêdo Batista is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 25 | |
| 15 | 25 | |
| 16 | 1 | |
| 17 | 24 | |
| 18 | 9 | |
| 19 | 6 | |
| 20 | 4 |
About Daniel Macêdo Batista
Daniel Macêdo Batista is a scholar working on Computer Networks and Communications, Hardware and Architecture and Health Informatics, having authored 86 papers that have together received 957 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (24 papers), Software-Defined Networks and 5G (19 papers) and Distributed and Parallel Computing Systems (19 papers). The work is most often cited by research in Computer Networks and Communications (670 citations), Information Systems (421 citations) and Health Informatics (22 citations). Daniel Macêdo Batista has collaborated with scholars based in Brazil, United States and Peru. Frequent co-authors include Nelson L. S. da Fonseca, Anna Liu, Mohammad Alomari, Sherif Sakr, Gustavo B. Figueiredo, Roberto Hirata, Flávio K. Miyazawa, Michele Nogueira, Biswanath Mukherjee and Seyedamin Pouriyeh. Their work appears in journals such as Nature Communications, Neuron and IEEE Communications Surveys & Tutorials.
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.