Guilherme Amaral

804 citations
23 papers · 435 indexed · h-index 9
Topics
Software Engineering Research (7 papers)Geochemistry and Geologic Mapping (4 papers)Software Reliability and Analysis Research (3 papers)

In The Last Decade

Guilherme Amaral

19 papers receiving 384 citations

Peers

Guilherme Amaral
Comparison fields: 5 of 59
  • Geophysics 230
  • Artificial Intelligence 155
  • Information Systems 85
  • Earth-Surface Processes 75
  • Paleontology 63
Replace M. R. Strens with:
M. R. Strens United Kingdom
Nick Cook Australia
Jeffry D. Grigsby United States
Hassan A. Babaie United States
James V. Jones United States
Yuejun Li China
Mark Bentley United Kingdom
Sung‐Ja Choi South Korea
Anupam Chattopadhyay India
S.M. Richard United States
Guilherme Amaral relative to M. R. Strens United Kingdom M. R. Strens's profile →
Citations per field
00.5×10×16×
M. R. Strens · 1×
Citations per year

Countries citing papers authored by Guilherme Amaral

Since Specialization
Citations

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

Fields of papers citing papers by Guilherme Amaral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilherme Amaral

This figure shows the co-authorship network connecting the top 25 collaborators of Guilherme Amaral. A scholar is included among the top collaborators of Guilherme Amaral 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 Guilherme Amaral. Guilherme Amaral 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 0
2 0
3 0
4 1
5 0
6 1
7 24
8 8
9 19
10 17
11 6
12 2
13 23
14 7
15 8
16 25
17 3
18 8
19 129
20 126

About Guilherme Amaral

Guilherme Amaral is a scholar working on Software, Geochemistry and Petrology and Information Systems, having authored 23 papers that have together received 435 indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Geochemistry and Geologic Mapping (4 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Geophysics (230 citations), Software (53 citations) and Earth-Surface Processes (75 citations). Guilherme Amaral has collaborated with scholars based in Brazil, Portugal and United States. Frequent co-authors include Koji Kawashita, Umberto G. Cordani, J. H. Reynolds, Amélia João Fernandes, Márcio Ribeiro, Rohit Gheyi, André L. M. Santos, Alessandro Garcia, Baldoíno Fonseca and Flávio Medeiros. Their work appears in journals such as Geochimica et Cosmochimica Acta, IEEE Transactions on Software Engineering and Energies.

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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