Marcos Kalinowski

3.4k total citations · 1 hit paper
119 papers, 1.5k citations indexed

About

Marcos Kalinowski is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Marcos Kalinowski has authored 119 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Information Systems, 25 papers in Software and 21 papers in Computer Networks and Communications. Recurrent topics in Marcos Kalinowski's work include Software Engineering Research (70 papers), Software Engineering Techniques and Practices (57 papers) and Software Reliability and Analysis Research (22 papers). Marcos Kalinowski is often cited by papers focused on Software Engineering Research (70 papers), Software Engineering Techniques and Practices (57 papers) and Software Reliability and Analysis Research (22 papers). Marcos Kalinowski collaborates with scholars based in Brazil, Sweden and Italy. Marcos Kalinowski's co-authors include Emília Mendes, Claes Wohlin, Katia Romero Felizardo, Guilherme Horta Travassos, Leonardo Murta, Daniel Méndez, Alessandro Garcia, João Felipe Pimentel, David N. Card and Nandamudi L. Vijaykumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Marcos Kalinowski

100 papers receiving 1.4k citations

Hit Papers

Successful combination of database search and snowballing... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Successful combination of database search and snowballing for identification of primary studies in systematic literature studies
    2022 211 citations Marcos Kalinowski et al. Information and Software Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcos Kalinowski Brazil 20 839 269 216 206 164 119 1.5k
Sairam Vakkalanka Sweden 2 852 1.0× 371 1.4× 358 1.7× 216 1.0× 216 1.3× 4 1.7k
Rialette Pretorius United Kingdom 6 600 0.7× 187 0.7× 234 1.1× 144 0.7× 151 0.9× 8 1.1k
Ludwik Kuźniarz Sweden 10 1.1k 1.3× 393 1.5× 474 2.2× 362 1.8× 237 1.4× 31 2.0k
Mamdouh Alenezi Saudi Arabia 24 1.3k 1.5× 632 2.3× 404 1.9× 295 1.4× 174 1.1× 117 2.3k
Rory V. O’Connor Ireland 25 1.3k 1.5× 194 0.7× 225 1.0× 128 0.6× 367 2.2× 138 2.0k
Daniel Méndez Germany 18 907 1.1× 192 0.7× 320 1.5× 203 1.0× 132 0.8× 105 1.3k
Kurt Schneider Germany 24 1.4k 1.7× 237 0.9× 497 2.3× 283 1.4× 483 2.9× 198 2.2k
Juha Itkonen Finland 18 870 1.0× 305 1.1× 102 0.5× 383 1.9× 139 0.8× 39 1.3k
Ford Lumban Gaol Indonesia 17 420 0.5× 133 0.5× 252 1.2× 88 0.4× 56 0.3× 242 1.1k
Harco Leslie Hendric Spits Warnars Indonesia 18 629 0.7× 108 0.4× 327 1.5× 64 0.3× 90 0.5× 229 1.3k

Countries citing papers authored by Marcos Kalinowski

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Kalinowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcos Kalinowski

This figure shows the co-authorship network connecting the top 25 collaborators of Marcos Kalinowski. A scholar is included among the top collaborators of Marcos Kalinowski 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 Marcos Kalinowski. Marcos Kalinowski 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.
Kalinowski, Marcos, Daniel Méndez, Görkem Giray, et al.. (2025). Naming the Pain in machine learning-enabled systems engineering. Information and Software Technology. 187. 107866–107866. 1 indexed citations
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.
Kalinowski, Marcos, et al.. (2024). Impostor Phenomenon in Software Engineers. 5–6.
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5.
Calefato, Fabio, et al.. (2024). A multivocal literature review on the benefits and limitations of industry-leading AutoML tools. Information and Software Technology. 178. 107608–107608. 5 indexed citations
6.
Kalinowski, Marcos, et al.. (2024). Professional Insights into Benefits and Limitations of Implementing MLOps Principles. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 305–312. 4 indexed citations
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8.
Carvalho, Luiz Carlos de Sá, Thelma Elita Colanzi, Wesley K. G. Assunção, et al.. (2024). On the Usefulness of Automatically Generated Microservice Architectures. IEEE Transactions on Software Engineering. 50(3). 651–667. 6 indexed citations
9.
10.
Kalinowski, Marcos, et al.. (2024). Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach. Journal of Systems and Software. 213. 112053–112053. 7 indexed citations
11.
12.
Kalinowski, Marcos, et al.. (2022). A Catalogue of Concerns for Specifying Machine Learning-Enabled Systems. 6 indexed citations
13.
Kalinowski, Marcos, et al.. (2020). XChange: A semantic diff approach for XML documents. Information Systems. 94. 101610–101610. 4 indexed citations
14.
Ralph, Paul, Sebastian Baltes, Richard Torkar, et al.. (2020). Pandemic programming. Empirical Software Engineering. 25(6). 4927–4961. 142 indexed citations
15.
Kalinowski, Marcos, et al.. (2020). From a Monolithic Big Data System to a Microservices Event-Driven Architecture. 213–220. 27 indexed citations
16.
Fernandes, Eduardo, Alessandro Garcia, Marcos Kalinowski, et al.. (2019). A Quantitative Study on Characteristics and Effect of Batch Refactoring on Code Smells. 1–11. 33 indexed citations
17.
Winkler, Dietmar, et al.. (2017). Improving Model Inspection with Crowdsourcing. 30–34. 7 indexed citations
18.
Kalinowski, Marcos, et al.. (2015). Software Process Improvement Results in Brazil Based on the MPS-SW Model. 17. 2 indexed citations
19.
Biffl, Stefan, Marcos Kalinowski, Fajar J. Ekaputra, Estefanía Serral, & Dietmar Winkler. (2014). Building empirical software engineering bodies of knowledge with systematic knowledge engineering. Software Engineering and Knowledge Engineering. 552–559. 5 indexed citations
20.
Kalinowski, Marcos, et al.. (2010). MPS.BR: Promovendo a Adoção de Boas Práticas de Engenharia de Software pela Indústria Brasileira.. Conferencia Iberoamericana de Software Engineering. 265–278. 2 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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