Manoel Mendonça

3.1k total citations · 1 hit paper
141 papers, 1.9k citations indexed

About

Manoel Mendonça is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Manoel Mendonça has authored 141 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Information Systems, 42 papers in Computer Science Applications and 24 papers in Artificial Intelligence. Recurrent topics in Manoel Mendonça's work include Software Engineering Research (102 papers), Software Engineering Techniques and Practices (76 papers) and Open Source Software Innovations (38 papers). Manoel Mendonça is often cited by papers focused on Software Engineering Research (102 papers), Software Engineering Techniques and Practices (76 papers) and Open Source Software Innovations (38 papers). Manoel Mendonça collaborates with scholars based in Brazil, United States and Colombia. Manoel Mendonça's co-authors include Rodrigo Spínola, Carolyn Seaman, Nicolli Rios, Victor R. Basili, José Carlos Maldonado, Forrest Shull, Thiago Souto Mendes, Erika Nina Höhn, Roberto de Pinho and Nicolli S.R. Alves and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Software Engineering.

In The Last Decade

Manoel Mendonça

132 papers receiving 1.8k citations

Hit Papers

Identification and management of technical debt: A system... 2015 2026 2018 2022 2015 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manoel Mendonça Brazil 22 1.6k 529 424 340 250 141 1.9k
Pierre Bourque Canada 11 1.4k 0.9× 519 1.0× 331 0.8× 404 1.2× 228 0.9× 35 1.8k
Dietmar Pfahl Estonia 25 1.4k 0.9× 449 0.8× 297 0.7× 340 1.0× 225 0.9× 121 1.8k
İpek Özkaya United States 21 1.7k 1.1× 593 1.1× 433 1.0× 528 1.6× 214 0.9× 107 2.2k
Fabiano Dalpiaz Netherlands 24 1.3k 0.8× 285 0.5× 276 0.7× 831 2.4× 229 0.9× 118 1.8k
T. Dyba Norway 10 1.4k 0.9× 313 0.6× 343 0.8× 321 0.9× 262 1.0× 10 1.8k
Guenther Ruhe Canada 25 2.2k 1.4× 923 1.7× 331 0.8× 803 2.4× 179 0.7× 132 2.8k
Daniela S. Cruzes Norway 21 1.8k 1.2× 498 0.9× 417 1.0× 324 1.0× 248 1.0× 77 2.3k
Martin Glinz Switzerland 20 1.3k 0.9× 529 1.0× 169 0.4× 857 2.5× 189 0.8× 107 1.8k
Lesley M. Pickard United Kingdom 12 1.8k 1.2× 883 1.7× 284 0.7× 518 1.5× 209 0.8× 15 2.2k
Rodrigo Spínola Brazil 19 1.2k 0.7× 425 0.8× 376 0.9× 116 0.3× 225 0.9× 92 1.4k

Countries citing papers authored by Manoel Mendonça

Since Specialization
Citations

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

Fields of papers citing papers by Manoel Mendonça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoel Mendonça

This figure shows the co-authorship network connecting the top 25 collaborators of Manoel Mendonça. A scholar is included among the top collaborators of Manoel Mendonça 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 Manoel Mendonça. Manoel Mendonça 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
1.
Freire, Sávio, et al.. (2025). Psychological safety in software workplaces: A systematic literature review. Information and Software Technology. 187. 107838–107838.
2.
Barbosa, Larissa Pires, Sávio Freire, Paulo Maciel, et al.. (2024). Attributes of a great requirements engineer. Journal of Systems and Software. 219. 112200–112200. 1 indexed citations
3.
Freire, Sávio, Rodrigo Spínola, & Manoel Mendonça. (2024). Organizing the State of Practice on Technical Debt Prevention, Monitoring, and Payment in Software Projects. Zenodo (CERN European Organization for Nuclear Research). 7–21. 1 indexed citations
5.
Freire, Sávio, Nicolli Rios, Boris Pérez, et al.. (2024). A Comprehensive View on TD Prevention Practices and Reasons for Not Preventing It. ACM Transactions on Software Engineering and Methodology. 33(7). 1–44. 2 indexed citations
7.
Freire, Sávio, et al.. (2022). Technical Debt on Agile Projects: Managers’ point of view at Stack Exchange. 1–9. 7 indexed citations
8.
Freire, Sávio, Nicolli Rios, Boris Pérez, et al.. (2022). Software practitioners’ point of view on technical debt payment. Journal of Systems and Software. 196. 111554–111554. 12 indexed citations
9.
Mendes, Thiago Souto, et al.. (2021). On Comment Patterns that are Good Indicators of the Presence of Self-Admitted Technical Debt and those that Lead to False Positive Items. Journal of the Association for Information Systems. 1 indexed citations
10.
Rios, Nicolli, et al.. (2018). Investigating Technical Debt Folklore: A Replicated Survey.. Software Engineering and Knowledge Engineering. 1 indexed citations
11.
Mendonça, Manoel, et al.. (2015). Investigating bias in the search phase of Software Engineering secondary studies.. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 488. 6 indexed citations
12.
Mendonça, Manoel, et al.. (2014). Recovering Valuable Information Behaviour from OSS Contributors: An Exploratory Study.. Software Engineering and Knowledge Engineering. 474–477. 2 indexed citations
13.
Mendonça, Manoel, et al.. (2014). Identifying strategies on god class detection in two controlled experiments.. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 244–249. 3 indexed citations
14.
Cruzes, Daniela S., et al.. (2013). Beliefs Underlying Teams Intention and Practice: An Application Of the Theory of Planned Behavior.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 486–499. 5 indexed citations
15.
Mendonça, Manoel, et al.. (2012). A Neurolinguistic Method for Identifying OSS Developers’ Context-Specific Preferred Representational Systems. International Conference on Software Engineering Advances. 112–121. 5 indexed citations
16.
Mendonça, Manoel, et al.. (2009). The Use of Reading Technique and Visualization for Program Understanding.. Software Engineering and Knowledge Engineering. 386–391. 1 indexed citations
17.
Mendonça, Manoel, et al.. (2008). The Importance of Cognitive and Usability Elements in Designing Software Visualization Tools. PPIG. 22. 1 indexed citations
18.
Mendonça, Manoel, et al.. (2007). Empirically Evaluating the Usefulness of Software Visualization Techniques in Program Comprehension Activities.. 341–348. 3 indexed citations
19.
Shull, Forrest, Victor R. Basili, Jeffrey C. Carver, et al.. (2003). Replicating software engineering experiments: addressing the tacit knowledge problem. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 7–16. 90 indexed citations
20.
Mendonça, Manoel, Carolyn Seaman, Victor R. Basili, & Yong‐Mi Kim. (2001). A Prototype Experience Management System for a Software Consulting Organization.. Software Engineering and Knowledge Engineering. 29–36. 24 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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