Cristina Ribeiro

1.6k total citations
106 papers, 827 citations indexed

About

Cristina Ribeiro is a scholar working on Information Systems, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Cristina Ribeiro has authored 106 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Information Systems, 24 papers in Artificial Intelligence and 17 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Cristina Ribeiro's work include Research Data Management Practices (15 papers), Semantic Web and Ontologies (13 papers) and Data Quality and Management (13 papers). Cristina Ribeiro is often cited by papers focused on Research Data Management Practices (15 papers), Semantic Web and Ontologies (13 papers) and Data Quality and Management (13 papers). Cristina Ribeiro collaborates with scholars based in Portugal, Canada and Brazil. Cristina Ribeiro's co-authors include Sérgio Nunes, Gabriel David, Maria Antónia Carravilla, Carla Teixeira Lopes, José Fernando Oliveira, João Rocha da Silva, João Aguiar Castro, José Moreira, Franklina M. B. Toledo and A. Miguel Gomes and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and International Journal of Production Economics.

In The Last Decade

Cristina Ribeiro

93 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cristina Ribeiro Portugal	15	199	153	129	106	101	106	827
Hui Shi China	14	78 0.4×	67 0.4×	206 1.6×	7 0.1×	59 0.6×	80	648
Marco Angelini Italy	13	46 0.2×	153 1.0×	158 1.2×	13 0.1×	10 0.1×	72	579
Jun Sakuma Japan	20	26 0.1×	213 1.4×	772 6.0×	33 0.3×	139 1.4×	120	1.3k
Sebastián Moreno Chile	13	125 0.6×	34 0.2×	109 0.8×	17 0.2×	47 0.5×	40	504
Amjad Mahmood Bahrain	13	14 0.1×	117 0.8×	89 0.7×	20 0.2×	67 0.7×	54	621
Jayasree Sengupta India	22	24 0.1×	406 2.7×	179 1.4×	52 0.5×	182 1.8×	115	2.1k
Yu‐Fang Chung Taiwan	18	34 0.2×	558 3.6×	515 4.0×	6 0.1×	127 1.3×	84	1.3k
Frank Zimmer Luxembourg	14	85 0.4×	338 2.2×	225 1.7×	11 0.1×	23 0.2×	22	735
Jinbo Wen China	13	27 0.1×	66 0.4×	85 0.7×	24 0.2×	61 0.6×	38	486

Countries citing papers authored by Cristina Ribeiro

Since Specialization

Citations

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

Fields of papers citing papers by Cristina Ribeiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Ribeiro

This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Ribeiro. A scholar is included among the top collaborators of Cristina 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 Cristina Ribeiro. Cristina 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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20 of 20 papers shown

Lopes, Carla Teixeira, et al.. (2023). Moving from ISAD(G) to a CIDOC CRM-based Linked Data Model in the Portuguese Archives. Journal on Computing and Cultural Heritage. 16(4). 1–21. 2 indexed citations

Alves, Cristiana, João Aguiar Castro, Cristina Ribeiro, João P. Honrado, & Ângela Lomba. (2018). Research data management in the field of Ecology: an overview. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 87–94. 5 indexed citations

Lopes, Carla Teixeira, et al.. (2017). Effects of language and terminology of query suggestions on medical accuracy considering different user characteristics. Journal of the Association for Information Science and Technology. 68(9). 2063–2075. 5 indexed citations

Silva, Fábio, et al.. (2016). End-to-end research data management workflows: a case study with Dendro and EUDAT.. 369–375.

Silva, João Rocha da, João Aguiar Castro, Cristina Ribeiro, & João Correia Lopes. (2014). The Dendro research data management platform: Applying ontologies to long-term preservation in a collaborative environment.. iPRES. 4 indexed citations

Castro, João Aguiar, Cristina Ribeiro, & João Rocha da Silva. (2013). Designing an application profile using qualified dublin core: a case study with fracture mechanics datasets. International Conference on Dublin Core and Metadata Applications. 47–52. 5 indexed citations

Nunes, Sérgio, Cristina Ribeiro, & Gabriel David. (2013). The impact of time in link-based Web ranking.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 18. 2 indexed citations

Ribeiro, Cristina. (2011). A medicina geral e familiar e a abordagem do consumo de álcool: detecção e intervenções breves no âmbito dos cuidados de saúde primários.. SHILAP Revista de lepidopterología. 2 indexed citations

Silva, João Rocha da, Cristina Ribeiro, & João Correia Lopes. (2011). UPData: a data curation experiment at U. Porto using DSpace. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 3 indexed citations

10.

Ribeiro, Cristina, Farhad Mavaddat, & Alexander Ferworn. (2011). Adaptive Engineering of an Embedded System, Engineered for use by Search and Rescue Canines. SHILAP Revista de lepidopterología. 1 indexed citations

11.

Nunes, Sérgio, et al.. (2010). FEUP at TREC 2010 blog track: Using h-index for blog ranking. Open Repository of the University of Porto (University of Porto). 1 indexed citations

12.

Nunes, Sérgio, Cristina Ribeiro, & Gabriel David. (2008). WikiChanges. Open Repository of the University of Porto (University of Porto). 1–4. 23 indexed citations

13.

Ribeiro, Cristina, et al.. (2007). INESC, Porto at TRECVID 2007: Automatic and Interactive Video Search.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 2 indexed citations

14.

Moreira, Bruno de Souza, et al.. (2007). Fisioterapia respiratoria na cifoescoliose: relato de caso. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 14(3). 69–75.

15.

Paiva, Isabel, et al.. (2006). [Diabetes in the elderly: our reality].. PubMed. 19(1). 79–84. 1 indexed citations

16.

Paiva, Isabel, et al.. (2006). A diabetes na quarta idade: a nossa realidade.. SHILAP Revista de lepidopterología. 1 indexed citations

17.

Abdessalem, Talel, José Moreira, & Cristina Ribeiro. (2001). Movement Query Operations for Spatio-Temporal Databases.. 6 indexed citations

18.

Rodrigues, Fernando, et al.. (1999). Thyroid Ultrasound Report: Consensus of the Thyroid Study Group of the Portuguese Society of Endocrinology, Diabetes and Metabolism. Open Repository of the University of Porto (University of Porto). 0–0. 1 indexed citations

19.

Ribeiro, Cristina. (1992). International workshop on processing declarative knowledge. AI Magazine. 13(1). 27. 1 indexed citations

20.

Monteiro, E., et al.. (1986). Antithyroid antibodies as an early marker for thyroid disease induced by amiodarone.. BMJ. 292(6515). 227–228. 63 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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