Francisco Ribeiro

465 total citations
10 papers, 247 citations indexed

About

Francisco Ribeiro is a scholar working on Software, Information Systems and Artificial Intelligence. According to data from OpenAlex, Francisco Ribeiro has authored 10 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Software, 5 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Francisco Ribeiro's work include Software Engineering Research (5 papers), Software Testing and Debugging Techniques (5 papers) and Software Reliability and Analysis Research (3 papers). Francisco Ribeiro is often cited by papers focused on Software Engineering Research (5 papers), Software Testing and Debugging Techniques (5 papers) and Software Reliability and Analysis Research (3 papers). Francisco Ribeiro collaborates with scholars based in Portugal, Japan and Uruguay. Francisco Ribeiro's co-authors include João Saraiva, Marco Couto, Rui Pereira, Rui Rua, João Paulo Fernandes, Jácome Cunha, Rui Abreu and Alberto Pardo and has published in prestigious journals such as Science of Computer Programming, RepositóriUM (Universidade do Minho) and Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).

In The Last Decade

Francisco Ribeiro

10 papers receiving 236 citations

Peers

Francisco Ribeiro

EEE

CNC

IS

HA

AI

Cagri Sahin United States

Joshua Charles Campbell Canada

Jingweijia Tan China

Mohammed Sayagh Canada

Peter Tröger Germany

Misha Smelyanskiy Russia

Maria Kechagia Greece

N. Kumar India

A.K. Ramani India

Marco Lattuada Italy

Cagri Sahin United States

Francisco Ribeiro

297 ×2.1

EEE

186 ×1.7

CNC

111 ×1.8

IS

53 ×1.1

HA

21 ×0.7

AI

Citations per year, relative to Francisco Ribeiro Francisco Ribeiro (= 1×) peers Cagri Sahin

Countries citing papers authored by Francisco Ribeiro

Since Specialization

Citations

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

Fields of papers citing papers by Francisco Ribeiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Ribeiro

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

All Works

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10 of 10 papers shown

1.

Saraiva, João, et al.. (2024). Large Language Models in Automated Repair of Haskell Type Errors. RepositóriUM (Universidade do Minho). 42–45. 1 indexed citations

2.

Ribeiro, Francisco, et al.. (2023). Beyond Code Generation: The Need for Type-Aware Language Models. 1 indexed citations

3.

Ribeiro, Francisco, et al.. (2023). GPT-3-Powered Type Error Debugging: Investigating the Use of Large Language Models for Code Repair. 111–124. 13 indexed citations

4.

Ribeiro, Francisco. (2023). Large Language Models for Automated Program Repair. 7–9. 1 indexed citations

5.

Ribeiro, Francisco, Rui Abreu, & João Saraiva. (2022). Framing program repair as code completion. RepositóriUM (Universidade do Minho). 38–45. 5 indexed citations

6.

Pereira, Rui, Marco Couto, Francisco Ribeiro, et al.. (2021). Ranking programming languages by energy efficiency. Science of Computer Programming. 205. 102609–102609. 72 indexed citations

7.

Ribeiro, Francisco, Rui Abreu, & João Saraiva. (2021). On Understanding Contextual Changes of Failures. 25. 1036–1047. 1 indexed citations

8.

Ribeiro, Francisco, João Saraiva, & Alberto Pardo. (2019). Java Stream Fusion. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 30–37. 3 indexed citations

9.

Pereira, Rui, Marco Couto, Francisco Ribeiro, et al.. (2017). Energy efficiency across programming languages: how do energy, time, and memory relate?. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 256–267. 118 indexed citations

10.

Couto, Marco, Rui Pereira, Francisco Ribeiro, Rui Rua, & João Saraiva. (2017). Towards a Green Ranking for Programming Languages. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–8. 32 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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