Rita A. Ribeiro

170 papers receiving 4.4k citations

Peers

Rita A. Ribeiro
Comparison fields: 5 of 199
  • Radiological and Ultrasound Technology 320
  • Management Science and Operations Research 715
  • Medical Laboratory Technology 84
  • Periodontics 209
  • Otorhinolaryngology 162
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Shu‐Jen Chen Taiwan
Ajit Kumar Verma India
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Zhenhua Zhu China
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Citations per field
00.5×10×16.8×
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Citations per year

Countries citing papers authored by Rita A. Ribeiro

Since Specialization
Citations

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

Fields of papers citing papers by Rita A. Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rita A. Ribeiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rita A. Ribeiro Line = papers co-authored together Rita A. Ribeiro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011325
2 1996291
3 2012158
4
IL-8 causes in vivo neutrophil migration by a cell-dependent mechanism.
1991143
5 2007134
6 2011132
7 2018111
8 2005104
9 200596
10 200791
11 200691
12 199790
13 200485
14 200785
15 200278
16 201472
17 202269
18 199967
19 200264
20 199962

About Rita A. Ribeiro

Rita A. Ribeiro is a scholar working on Artificial Intelligence, Management Science and Operations Research, Molecular Biology, Oncology and Control and Systems Engineering, having authored 180 papers that have together received 4.6k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (25 papers), Fuzzy Logic and Control Systems (12 papers), Polyomavirus and related diseases (8 papers), Clostridium difficile and Clostridium perfringens research (8 papers), Fuzzy Systems and Optimization (7 papers), Oral health in cancer treatment (7 papers), Pain Mechanisms and Treatments (6 papers) and Water Systems and Optimization (6 papers). The work is most often cited by research in Radiological and Ultrasound Technology (320 citations), Management Science and Operations Research (715 citations), Medical Laboratory Technology (84 citations), Periodontics (209 citations) and Otorhinolaryngology (162 citations). Rita A. Ribeiro has collaborated with scholars based in Portugal, Brazil and United Kingdom. Frequent co-authors include Gerly Anne de Castro Brito, Fernando Q. Cunha, Abel Pinto, Isabel L. Nunes, Luís M. Camarinha-Matos, Nazanin Vafaei, Carlos A. Flores, Gianluca Campanella, Ana Pires and Graça Martinho. Their work appears in journals such as Brazilian Journal of Medical and Biological Research, Cancer Chemotherapy and Pharmacology, The Journal of Urology, Infection and Immunity and Fuzzy Sets and Systems.

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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