Maurício Aniche

1.5k citations
39 papers · 781 indexed · h-index 17
Topics
Software Engineering Research (34 papers)Software Testing and Debugging Techniques (16 papers)Software System Performance and Reliability (13 papers)

In The Last Decade

Maurício Aniche

38 papers receiving 756 citations

Peers

Maurício Aniche
Comparison fields: 5 of 56
  • Information Systems 636
  • Software 368
  • Computer Networks and Communications 215
  • Computer Science Applications 153
  • Artificial Intelligence 133
Replace Will Snipes with:
Will Snipes United States
Patanamon Thongtanunam Australia
Olga Baysal Canada
Moritz Beller Netherlands
Barthélémy Dagenais Canada
Hajimu Iida Japan
Adrian Kuhn Switzerland
Jacek Czerwonka United States
Luca Pascarella Switzerland
Rabe Abdalkareem Canada
Maurício Aniche relative to Will Snipes United States Will Snipes's profile →
Citations per field
00.5×4.4×
Will Snipes · 1×
Citations per year

Countries citing papers authored by Maurício Aniche

Since Specialization
Citations

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

Fields of papers citing papers by Maurício Aniche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurício Aniche

This figure shows the co-authorship network connecting the top 25 collaborators of Maurício Aniche. A scholar is included among the top collaborators of Maurício Aniche 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 Maurício Aniche. Maurício Aniche 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 1
2 16
3 7
4 7
5 4
6 11
7 20
8 48
9 21
10 7
11 170
12 10
13 30
14 26
15 6
16 23
17 3
18 4
19 23
20 6

About Maurício Aniche

Maurício Aniche is a scholar working on Software, Information Systems and Computer Science Applications, having authored 39 papers that have together received 781 indexed citations. Recurring topics across this work include Software Engineering Research (34 papers), Software Testing and Debugging Techniques (16 papers) and Software System Performance and Reliability (13 papers). The work is most often cited by research in Software (368 citations), Information Systems (636 citations) and Computer Science Applications (153 citations). Maurício Aniche has collaborated with scholars based in Netherlands, Brazil and Switzerland. Frequent co-authors include Alberto Bacchelli, Arie van Deursen, Davide Spadini, Marco Aurélio Gerosa, Christoph Treude, Magiel Bruntink, Felienne Hermans, Gabriele Bavota, Margaret‐Anne Storey and Gustavo Pinto. Their work appears in journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering and Journal of the Brazilian Computer Society.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026