Rodrigo Queiroz

434 total citations
9 papers, 192 citations indexed

About

Rodrigo Queiroz is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Rodrigo Queiroz has authored 9 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Rodrigo Queiroz's work include Software Engineering Research (5 papers), Software System Performance and Reliability (5 papers) and Advanced Software Engineering Methodologies (3 papers). Rodrigo Queiroz is often cited by papers focused on Software Engineering Research (5 papers), Software System Performance and Reliability (5 papers) and Advanced Software Engineering Methodologies (3 papers). Rodrigo Queiroz collaborates with scholars based in Canada, Germany and Sweden. Rodrigo Queiroz's co-authors include Krzysztof Czarnecki, Thorsten Berger, Rick Salay, Sven Apel, Leonardo Passos, Marco Túlio Valente and Sean Sedwards and has published in prestigious journals such as IEEE Transactions on Software Engineering, SAE technical papers on CD-ROM/SAE technical paper series and Software & Systems Modeling.

In The Last Decade

Rodrigo Queiroz

9 papers receiving 186 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rodrigo Queiroz Canada	6	88	72	63	58	42	9	192
Gereon Weiß Germany	10	85 1.0×	24 0.3×	25 0.4×	38 0.7×	47 1.1×	34	203
Falk Howar Germany	10	121 1.4×	73 1.0×	32 0.5×	138 2.4×	36 0.9×	45	260
Christopher S. Timperley United States	10	75 0.9×	76 1.1×	21 0.3×	128 2.2×	55 1.3×	26	237
Stefan Kugele Germany	10	119 1.4×	52 0.7×	18 0.3×	58 1.0×	105 2.5×	38	257
Marcus Nolte Germany	8	48 0.5×	20 0.3×	52 0.8×	19 0.3×	37 0.9×	20	162
Erwin Schoitsch Austria	8	52 0.6×	54 0.8×	13 0.2×	39 0.7×	27 0.6×	45	210
Youcef Gheraibia United Kingdom	7	55 0.6×	67 0.9×	11 0.2×	22 0.4×	64 1.5×	15	202
Jianbo Tao Austria	7	72 0.8×	23 0.3×	153 2.4×	110 1.9×	13 0.3×	13	286
Mahshid Helali Moghadam Sweden	8	68 0.8×	42 0.6×	20 0.3×	36 0.6×	84 2.0×	27	204
Eckard Böde Germany	7	36 0.4×	16 0.2×	58 0.9×	51 0.9×	8 0.2×	12	161

Countries citing papers authored by Rodrigo Queiroz

Since Specialization

Citations

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

Fields of papers citing papers by Rodrigo Queiroz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rodrigo Queiroz

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Queiroz. A scholar is included among the top collaborators of Rodrigo Queiroz 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 Rodrigo Queiroz. Rodrigo Queiroz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Queiroz, Rodrigo, et al.. (2022). A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation. 2022 IEEE Intelligent Vehicles Symposium (IV). 533–541. 2 indexed citations

2.

Queiroz, Rodrigo, Thorsten Berger, & Krzysztof Czarnecki. (2019). GeoScenario: An Open DSL for Autonomous Driving Scenario Representation. 287–294. 62 indexed citations

3.

Passos, Leonardo, et al.. (2018). A Study of Feature Scattering in the Linux Kernel. IEEE Transactions on Software Engineering. 47(1). 146–164. 29 indexed citations

4.

Salay, Rick, Rodrigo Queiroz, & Krzysztof Czarnecki. (2018). An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software. SAE technical papers on CD-ROM/SAE technical paper series. 1. 51 indexed citations

5.

Passos, Leonardo, et al.. (2018). A Study of Feature Scattering in the Linux Kernel. Open MIND. 1 indexed citations

6.

Queiroz, Rodrigo, Thorsten Berger, & Krzysztof Czarnecki. (2016). Towards predicting feature defects in software product lines. 58–62. 14 indexed citations

7.

Queiroz, Rodrigo, et al.. (2015). The shape of feature code: an analysis of twenty C-preprocessor-based systems. Software & Systems Modeling. 16(1). 77–96. 25 indexed citations

8.

Queiroz, Rodrigo, Leonardo Passos, Marco Túlio Valente, Sven Apel, & Krzysztof Czarnecki. (2014). Does feature scattering follow power-law distributions?. 23–29. 7 indexed citations

9.

Queiroz, Rodrigo, et al.. (2013). Development of a Methodology Focused on the Improvement of Both: Ergonomics and Comfort of Commercial Vehicle Seats. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations

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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