Anna Merino

2.1k total citations
65 papers, 1.3k citations indexed

About

Anna Merino is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Anna Merino has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 14 papers in Biophysics. Recurrent topics in Anna Merino's work include Digital Imaging for Blood Diseases (26 papers), AI in cancer detection (18 papers) and Cell Image Analysis Techniques (14 papers). Anna Merino is often cited by papers focused on Digital Imaging for Blood Diseases (26 papers), AI in cancer detection (18 papers) and Cell Image Analysis Techniques (14 papers). Anna Merino collaborates with scholars based in Spain, Colombia and United States. Anna Merino's co-authors include José Rodellar, Santiago Alférez, Andrea Acevedo, Ángel Molina, Laura Boldú, Malika Benkerrou, Pilar Arrizabalaga, Odette Viñas, Yael Dror and Luis Eduardo Mújica Delgado and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and British Journal of Haematology.

In The Last Decade

Anna Merino

61 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Merino Spain 19 793 526 275 248 125 65 1.3k
Ángel Molina Spain 12 433 0.5× 293 0.6× 175 0.6× 117 0.5× 23 0.2× 28 647
Famke Aeffner United States 19 186 0.2× 706 1.3× 519 1.9× 292 1.2× 6 0.0× 48 1.8k
Paulo Rogério de Faria Brazil 23 145 0.2× 237 0.5× 142 0.5× 35 0.1× 39 0.3× 109 1.5k
Muhammad Khalid Khan Niazi United States 19 283 0.4× 745 1.4× 604 2.2× 162 0.7× 4 0.0× 86 1.6k
Brij Mohan Kumar Singh India 10 251 0.3× 157 0.3× 110 0.4× 72 0.3× 11 0.1× 25 658
Meyke Hermsen Netherlands 13 428 0.5× 1.1k 2.0× 734 2.7× 198 0.8× 4 0.0× 22 1.6k
Jyoti Kini India 16 279 0.4× 495 0.9× 326 1.2× 80 0.3× 19 0.2× 69 828
Lance A. Williams United States 15 180 0.2× 36 0.1× 45 0.2× 40 0.2× 220 1.8× 55 766
Masaru Tanaka Japan 20 66 0.1× 349 0.7× 38 0.1× 106 0.4× 18 0.1× 122 1.6k
Keith J. Kaplan United States 17 106 0.1× 363 0.7× 167 0.6× 146 0.6× 3 0.0× 52 1.1k

Countries citing papers authored by Anna Merino

Since Specialization
Citations

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

Fields of papers citing papers by Anna Merino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Merino

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

All Works

20 of 20 papers shown
1.
Merino, Anna, et al.. (2023). Kimura disease as an uncommon cause of persistent hypereosinophilia: a diagnostic challenge. Biochemia Medica. 33(2). 181–186. 2 indexed citations
2.
Merino, Anna, et al.. (2022). Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan). Computer Methods and Programs in Biomedicine. 229. 107314–107314. 35 indexed citations
3.
Acevedo, Andrea, Anna Merino, Laura Boldú, et al.. (2021). A new convolutional neural network predictive model for the automatic recognition of hypogranulated neutrophils in myelodysplastic syndromes. Computers in Biology and Medicine. 134. 104479–104479. 24 indexed citations
4.
Molina, Ángel, José Rodellar, Laura Boldú, et al.. (2021). Automatic identification of malaria and other red blood cell inclusions using convolutional neural networks. Computers in Biology and Medicine. 136. 104680–104680. 38 indexed citations
5.
Boldú, Laura, Anna Merino, Andrea Acevedo, Ángel Molina, & José Rodellar. (2021). A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images. Computer Methods and Programs in Biomedicine. 202. 105999–105999. 79 indexed citations
6.
Molina, Ángel, Santiago Alférez, Laura Boldú, et al.. (2020). Sequential classification system for recognition of malaria infection using peripheral blood cell images. Journal of Clinical Pathology. 73(10). 665–670. 28 indexed citations
7.
Acevedo, Andrea, Anna Merino, Santiago Alférez, et al.. (2020). A dataset of microscopic peripheral blood cell images for development of automatic recognition systems. SHILAP Revista de lepidopterología. 30. 105474–105474. 159 indexed citations
8.
Merino, Anna, Alexandru Vlagea, Ángel Molina, et al.. (2020). Atypical lymphoid cells circulating in blood in COVID-19 infection: morphology, immunophenotype and prognosis value. Journal of Clinical Pathology. 75(2). 104–111. 11 indexed citations
9.
Alférez, Santiago, et al.. (2019). Color clustering segmentation framework for image analysis of malignant lymphoid cells in peripheral blood. Medical & Biological Engineering & Computing. 57(6). 1265–1283. 17 indexed citations
10.
Acevedo, Andrea, et al.. (2019). Recognition of peripheral blood cell images using convolutional neural networks. Computer Methods and Programs in Biomedicine. 180. 105020–105020. 134 indexed citations
11.
Rodellar, José, Santiago Alférez, Andrea Acevedo, Ángel Molina, & Anna Merino. (2018). Image processing and machine learning in the morphological analysis of blood cells. International Journal of Laboratory Hematology. 40(S1). 46–53. 80 indexed citations
12.
Merino, Anna, et al.. (2017). New quantitative features for the morphological differentiation of abnormal lymphoid cell images from peripheral blood. Journal of Clinical Pathology. 70(12). 1038–1048. 13 indexed citations
13.
Salle, Barbara De la, et al.. (2016). Standardization of haematology critical results management in adults: an International Council for Standardization in Haematology, ICSH, survey and recommendations. International Journal of Laboratory Hematology. 38(5). 457–471. 13 indexed citations
14.
Arrizabalaga, Pilar, Rosa Abellana, Odette Viñas, Anna Merino, & Carlos Ascaso. (2015). Women doctors and their careers in a large university hospital in Spain at the beginning of the 21st century. Human Resources for Health. 13(1). 15–15. 14 indexed citations
15.
Pereira, Arturo, et al.. (2010). Erythrophagocytosis in cold agglutinin disease. Transfusion. 50(11). 2310–2310. 1 indexed citations
16.
Santamaría, Amparo, Anna Merino, Odette Viñas, & Pilar Arrizabalaga. (2009). Does medicine still show an unresolved discrimination against women? Experience in two European university hospitals: Figure 1. Journal of Medical Ethics. 35(2). 104–106. 18 indexed citations
17.
Merino, Anna, Arturo Pereira, & Michel Zabalza. (2006). Erythrophagocytosis in Epstein‐Barr virus IgM‐mediated hemolytic anemia. Transfusion. 46(12). 2035–2035. 5 indexed citations
18.
Merino, Anna, Roberto Mazzara, Berta Fusté, et al.. (2003). The mesenchymal stem cell revealed. Transfusion. 43(1). 1–1. 3 indexed citations
19.
Benkerrou, Malika, D. W. Wara, Melissa E. Elder, et al.. (1994). Anti-tetanus toxoid antibody production after mismatched T cell-depleted bone marrow transplantation. Journal of Clinical Immunology. 14(2). 98–106. 6 indexed citations
20.

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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