Laura Boldú

729 citations
13 papers · 455 indexed · h-index 9
Topics
Digital Imaging for Blood Diseases (9 papers)AI in cancer detection (6 papers)Cell Image Analysis Techniques (4 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Clinical PathologyClinica Chimica Acta
Partner nations
SpainColombiaNetherlands

In The Last Decade

Laura Boldú

13 papers receiving 447 citations

Peers

Laura Boldú
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 359
  • Artificial Intelligence 251
  • Radiology, Nuclear Medicine and Imaging 141
  • Biophysics 99
  • Media Technology 46
Replace Andrea Acevedo with:
Andrea Acevedo Spain
Roopa B. Hegde India
Harishchandra Hebbar India
Lorenzo Putzu Italy
Vasundhara Acharya India
Asok Kumar Maiti India
Md. Aiub Hossain Bangladesh
Marina E. Plissiti Greece
Noorul Wahab Egypt
Amirreza Mahbod Austria
Laura Boldú relative to Andrea Acevedo Spain Andrea Acevedo's profile →
Citations per field
00.5×1.5×
Andrea Acevedo · 1×
Citations per year

Countries citing papers authored by Laura Boldú

Since Specialization
Citations

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

Fields of papers citing papers by Laura Boldú

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Boldú

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 6
3 24
4 38
5 79
6 28
7 159
8 11
9 40
10 3
11 1
12 53
13 12

About Laura Boldú

Laura Boldú is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 13 papers that have together received 455 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (9 papers), AI in cancer detection (6 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (359 citations), Biophysics (99 citations) and Health Informatics (14 citations). Laura Boldú has collaborated with scholars based in Spain, Colombia and Netherlands. Frequent co-authors include Anna Merino, José Rodellar, Ángel Molina, Andrea Acevedo, Santiago Alférez, Anton A. M. Ermens, Ana Merino, Oriol Sibila, Josep Lluís Bedini and Natalia Egri. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Clinical Pathology and Clinica Chimica Acta.

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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