Mónica Hernández

98 total papers · 1.1k total citations
50 papers, 679 citations indexed

About

Mónica Hernández is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Aerospace Engineering. According to data from OpenAlex, Mónica Hernández has authored 50 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Aerospace Engineering. Recurrent topics in Mónica Hernández's work include Medical Image Segmentation Techniques (18 papers), Robotics and Sensor-Based Localization (8 papers) and Acute Lymphoblastic Leukemia research (5 papers). Mónica Hernández is often cited by papers focused on Medical Image Segmentation Techniques (18 papers), Robotics and Sensor-Based Localization (8 papers) and Acute Lymphoblastic Leukemia research (5 papers). Mónica Hernández collaborates with scholars based in Spain, United Kingdom and United States. Mónica Hernández's co-authors include Alejandro F. Frangi, Salvador Carrión Olmos, Matías Nicolás Bossa, Cathryn M. Lewis, Anthony M. Marinaki, Jeremy Sanderson, A Loganayagam, Peter Harper, Paul J. Ross and Lynette D. Fairbanks and has published in prestigious journals such as PLoS ONE, Gut and British Journal of Cancer.

In The Last Decade

Mónica Hernández

45 papers receiving 636 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mónica Hernández	205	149	142	119	110	50	679
Boliang Wang	104 0.5×	74 0.5×	74 0.5×	66 0.6×	176 1.6×	59	645
Peter Burger	244 1.2×	61 0.4×	59 0.4×	195 1.6×	100 0.9×	40	703
Tao Gan	104 0.5×	181 1.2×	204 1.4×	125 1.1×	120 1.1×	63	794
Jian Zhang	118 0.6×	70 0.5×	68 0.5×	57 0.5×	87 0.8×	24	559
Carina Riediger	91 0.4×	93 0.6×	98 0.7×	46 0.4×	51 0.5×	50	786
Binjie Qin	225 1.1×	103 0.7×	38 0.3×	346 2.9×	47 0.4×	37	751
Huaguang Li	180 0.9×	74 0.5×	189 1.3×	38 0.3×	104 0.9×	48	738
Shilei Sun	79 0.4×	93 0.6×	47 0.3×	26 0.2×	88 0.8×	53	747
Deqiang Xiao	168 0.8×	37 0.2×	42 0.3×	113 0.9×	130 1.2×	77	791
Eriko Fukui	294 1.4×	71 0.5×	87 0.6×	14 0.1×	53 0.5×	43	578

Countries citing papers authored by Mónica Hernández

Since Specialization

Citations

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

Fields of papers citing papers by Mónica Hernández

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Hernández

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

All Works

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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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