Alberto Botana López

959 citations
2 papers · 604 indexed · 1 hit paper · h-index 2
Topics
Advanced Data Processing Techniques (1 paper)Artificial Intelligence in Healthcare (1 paper)Biometric Identification and Security (1 paper)
Journals
SHILAP Revista de lepidopterologíaJournal of Applied Biomedicine
Partner nations
SpainCzechia

In The Last Decade

Alberto Botana López

2 papers receiving 571 citations

Hit Papers

Artificial neural networks in medical diagnosis20132026201720212013100200300400500

Peers

Alberto Botana López
Comparison fields: 5 of 142
  • Artificial Intelligence 232
  • Health Information Management 122
  • Radiology, Nuclear Medicine and Imaging 75
  • Biomedical Engineering 70
  • Computer Vision and Pattern Recognition 69
Replace Ahmad P. Tafti with:
Ahmad P. Tafti United States
Jing Zheng China
Chao Che China
Clara Mosquera-Lopez United States
Changchang Yin United States
Javad Hassannataj Joloudari Iran
Girmaw Abebe Tadesse United States
Md. Abdul Awal Bangladesh
Farshid Hajati Australia
Silvia Seoni Italy
Alberto Botana López relative to Ahmad P. Tafti United States Ahmad P. Tafti's profile →
Citations per field
00.5×3.9×
Ahmad P. Tafti · 1×
Citations per year

Countries citing papers authored by Alberto Botana López

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Botana López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto Botana López. 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 Alberto Botana López. The network helps show where Alberto Botana López may publish in the future.

Co-authorship network of co-authors of Alberto Botana López

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1 15
2
Artificial neural networks in medical diagnosisbreakdown →
589

About Alberto Botana López

Alberto Botana López is a scholar working on Health Information Management, Signal Processing and Computer Vision and Pattern Recognition, having authored 2 papers that have together received 604 indexed citations. Recurring topics across this work include Advanced Data Processing Techniques (1 paper), Artificial Intelligence in Healthcare (1 paper) and Biometric Identification and Security (1 paper). The work is most often cited by research in Health Informatics (39 citations), Health Information Management (122 citations) and Artificial Intelligence (232 citations). Alberto Botana López has collaborated with scholars based in Spain and Czechia. Frequent co-authors include Filippo Amato, Aleš Hampl, Josef Havel, Eladia María Peña‐Méndez and Petr Vaňhara. Their work appears in journals such as SHILAP Revista de lepidopterología and Journal of Applied Biomedicine.

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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