Nicolli Rios

755 total citations
31 papers, 462 citations indexed

About

Nicolli Rios is a scholar working on Information Systems, Computer Science Applications and Management Information Systems. According to data from OpenAlex, Nicolli Rios has authored 31 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 11 papers in Computer Science Applications and 9 papers in Management Information Systems. Recurrent topics in Nicolli Rios's work include Software Engineering Research (25 papers), Software Engineering Techniques and Practices (25 papers) and Open Source Software Innovations (11 papers). Nicolli Rios is often cited by papers focused on Software Engineering Research (25 papers), Software Engineering Techniques and Practices (25 papers) and Open Source Software Innovations (11 papers). Nicolli Rios collaborates with scholars based in Brazil, United States and Colombia. Nicolli Rios's co-authors include Rodrigo Spínola, Manoel Mendonça, Carolyn Seaman, Sávio Freire, Clemente Izurieta, Boris Pérez, Darío Correal, Davide Falessi, Gustavo López and Juan P. Brito and has published in prestigious journals such as Journal of the Association for Information Systems, IEEE Software and Journal of Systems and Software.

In The Last Decade

Nicolli Rios

31 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolli Rios Brazil 12 368 146 107 94 30 31 462
Martin Ivarsson Sweden 7 339 0.9× 66 0.5× 70 0.7× 88 0.9× 38 1.3× 12 409
Terese Besker Sweden 13 402 1.1× 139 1.0× 81 0.8× 141 1.5× 31 1.0× 30 519
Walker Royce United States 9 280 0.8× 39 0.3× 65 0.6× 111 1.2× 18 0.6× 15 369
Philipp Diebold Germany 11 368 1.0× 62 0.4× 80 0.7× 57 0.6× 34 1.1× 41 436
Nicolli S.R. Alves Brazil 5 287 0.8× 88 0.6× 31 0.3× 125 1.3× 23 0.8× 7 336
Hiva Alahyari Sweden 8 246 0.7× 66 0.5× 69 0.6× 28 0.3× 19 0.6× 8 316
D.N. Card United States 12 427 1.2× 43 0.3× 68 0.6× 260 2.8× 25 0.8× 29 499
Nanette Brown United States 7 310 0.8× 89 0.6× 37 0.3× 124 1.3× 12 0.4× 14 390
Areti Ampatzoglou Greece 8 183 0.5× 58 0.4× 21 0.2× 96 1.0× 37 1.2× 8 249
Anita Carleton United States 8 369 1.0× 28 0.2× 128 1.2× 160 1.7× 32 1.1× 14 440

Countries citing papers authored by Nicolli Rios

Since Specialization
Citations

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

Fields of papers citing papers by Nicolli Rios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolli Rios

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolli Rios. A scholar is included among the top collaborators of Nicolli Rios 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 Nicolli Rios. Nicolli Rios 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
2.
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
3.
Berenguer, Clara, Sávio Freire, Nicolli Rios, et al.. (2023). Investigating the Relationship between Technical Debt Management and Software Development Issues. Investigative News in Education (Universidad de Costa Rica). 5 indexed citations
4.
López, Gustavo, et al.. (2023). Identification and Management of Technical Debt. Investigative News in Education (Universidad de Costa Rica). 4 indexed citations
5.
Barbosa, Larissa Pires, Sávio Freire, Nicolli Rios, et al.. (2022). Organizing the TD Management Landscape for Requirements and Requirements Documentation Debt. Maryland Shared Open Access Repository (USMAI Consortium). 8 indexed citations
6.
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
7.
Freire, Sávio, Nicolli Rios, Boris Pérez, et al.. (2022). Investigating how Agile Software Practitioners Repay Technical Debt in Software Projects. 1–10. 2 indexed citations
8.
Rios, Nicolli, Rodrigo Spínola, & Guilherme Horta Travassos. (2022). Exploring Technical Debt on IoT Software Projects. 1–10. 1 indexed citations
9.
Freire, Sávio, Nicolli Rios, Boris Pérez, et al.. (2021). A Conceptual Framework to Support the Management of Technical Debt in Software Testing. Journal of the Association for Information Systems. 3 indexed citations
10.
Berenguer, Clara, Sávio Freire, Nicolli Rios, et al.. (2021). Technical Debt is not Only about Code and We Need to be Aware about It. Cineca Institutional Research Information System (Tor Vergata University). 1–12. 7 indexed citations
11.
Freire, Sávio, Nicolli Rios, Boris Pérez, et al.. (2021). Pitfalls and Solutions for Technical Debt Management in Agile Software Projects. IEEE Software. 38(6). 42–49. 10 indexed citations
12.
Freire, Sávio, Nicolli Rios, Boris Pérez, et al.. (2021). Technical and Nontechnical Prioritization Schema for Technical Debt: Voice of TD-Experienced Practitioners. IEEE Software. 38(6). 50–58. 6 indexed citations
13.
Freire, Sávio, Nicolli Rios, Boris Pérez, et al.. (2021). How do Technical Debt Payment Practices Relate to the Effects of the Presence of Debt Items in Software Projects?. 605–609. 6 indexed citations
14.
Freire, Sávio, Nicolli Rios, Manoel Mendonça, et al.. (2020). Actions and impediments for technical debt prevention. Cineca Institutional Research Information System (Tor Vergata University). 1548–1555. 19 indexed citations
15.
Rios, Nicolli, et al.. (2020). Common Causes and Effects of Technical Debt in Serbian IT: InsighTD Survey Replication. 29. 354–361. 11 indexed citations
16.
Rios, Nicolli, Rodrigo Spínola, Manoel Mendonça, & Carolyn Seaman. (2020). The practitioners’ point of view on the concept of technical debt and its causes and consequences: a design for a global family of industrial surveys and its first results from Brazil. Empirical Software Engineering. 25(5). 3216–3287. 54 indexed citations
17.
Pérez, Boris, Darío Correal, Nicolli Rios, et al.. (2020). What are the practices used by software practitioners on technical debt payment. 103–112. 13 indexed citations
18.
Rios, Nicolli, et al.. (2018). Investigating Technical Debt Folklore: A Replicated Survey.. Software Engineering and Knowledge Engineering. 1 indexed citations
19.
Rios, Nicolli, Rodrigo Spínola, Manoel Mendonça, & Carolyn Seaman. (2018). A Study of Factors that Lead Development Teams to Incur Technical Debt in Software Projects. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 429–436. 10 indexed citations
20.
Rios, Nicolli, Manoel Mendonça, & Rodrigo Spínola. (2018). A tertiary study on technical debt: Types, management strategies, research trends, and base information for practitioners. Information and Software Technology. 102. 117–145. 122 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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