Aı̈da Valls

97 papers receiving 3.2k citations

Aı̈da Valls's Hit Papers

Reduction of Liver Metastasis Stiffness Improves Response to Bevacizumab in Metastatic Colorectal Cancer 2020 · 236 citations
2360+4+8Years since publication100200300

Peers

Aı̈da Valls
Comparison fields: 5 of 184
  • Ophthalmology 381
  • Health Information Management 167
  • Artificial Intelligence 954
  • Information Systems 545
  • Cell Biology 352
Replace Qaisar Abbas with:
Qaisar Abbas Pakistan
Mauro Castelli Portugal
Farman Ali South Korea
Vincent S. Tseng Taiwan
Jian Wu China
Antonio Moreno Spain
Vincent Ng Hong Kong
Allan Tucker United Kingdom
Reda Alhajj Canada
Huei Lee Taiwan
Aı̈da Valls relative to Qaisar Abbas Pakistan Qaisar Abbas's profile →
Citations per field
00.5×3.4×
Qaisar Abbas · 1×
Citations per year

Countries citing papers authored by Aı̈da Valls

Since Specialization
Citations

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

Fields of papers citing papers by Aı̈da Valls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aı̈da Valls, 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 Aı̈da Valls Line = papers co-authored together Aı̈da Valls links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Intelligent tourism recommender systems: A survey
Hit paper breakdown →
2014325
2 2017273
3 2012245
4
Reduction of Liver Metastasis Stiffness Improves Response to Bevacizumab in Metastatic Colorectal Cancer
Hit paper breakdown →
2020236
5 2010166
6 2012138
7 2019134
8 2015120
9 202190
10 201778
11 201277
12 202074
13 201069
14 201768
15 201765
16 201762
17 200961
18 201554
19 201253
20 201848

About Aı̈da Valls

Aı̈da Valls is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Information Systems, Ophthalmology and Management Science and Operations Research, having authored 103 papers that have together received 3.4k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (22 papers), Retinal Diseases and Treatments (15 papers), Data Management and Algorithms (13 papers), Semantic Web and Ontologies (13 papers), Multi-Criteria Decision Making (12 papers), Rough Sets and Fuzzy Logic (9 papers), Recommender Systems and Techniques (8 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Ophthalmology (381 citations), Health Information Management (167 citations), Artificial Intelligence (954 citations), Information Systems (545 citations) and Cell Biology (352 citations). Aı̈da Valls has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Antonio Moreno, David Sánchez, Montserrat Batet, Joan Borràs, David Isern, Domènec Puig, Karina Gibert, Carmen Ruiz de Almodóvar, Thomas Schmidt and Pedro Romero‐Aroca. Their work appears in journals such as Expert Systems with Applications, Journal of Intelligent Information Systems, Applied Sciences, Knowledge-Based Systems and International Journal of Intelligent 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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