Innovative Research Award
Pablo Laguna
Zaragoza University, Spain
| Pablo Laguna |
| Affiliation |
Zaragoza University |
| Country |
Spain |
| Scopus ID |
56216881700 |
| Documents |
483 |
| Citations |
13,931 |
| h-index |
52 |
| Subject Area |
Biomedical Image Analysis |
| Event |
Global Mechanics Awards |
| ORCID |
0000-0003-3434-9254 |
Pablo Laguna is a researcher affiliated with Zaragoza University in Spain whose academic profile is associated with biomedical research and quantitative analysis of biological data. According to the supplied Scopus profile information, his publication record comprises 483 documents, with 13,931 citations and an h-index of 52. These bibliometric indicators provide a quantitative overview of the visibility and scholarly reach of the researcher’s indexed publication record. [1]
The profile is presented in connection with the Innovative Research Award and the World Neuroscientists Awards, with research interests identified in the supplied information under the subject area of Biomedical Image Analysis. Research evaluation in this context considers publication activity, citation performance, research relevance, and the broader contribution of scholarly work to biomedical and neuroscience-related research. [2]
Abstract
This academic profile presents the research record of Pablo Laguna in relation to the Innovative Research Award and the World Neuroscientists Awards. The supplied bibliometric information identifies 483 documents, 13,931 citations, and an h-index of 52 in the Scopus-indexed record. [1] The profile also identifies Biomedical Image Analysis as the relevant subject area and provides an ORCID identifier for persistent researcher identification. [2] Collectively, these data provide a structured basis for describing the researcher’s scholarly activity and evaluating the suitability of the profile for an academic recognition context.
Keywords
Pablo Laguna; Zaragoza University; Spain; Biomedical Image Analysis; biomedical research; neuroscience; scientific publications; citation analysis; Scopus; ORCID; research impact; academic recognition; Innovative Research Award; World Neuroscientists Awards.
Introduction
Academic recognition commonly considers multiple dimensions of research activity, including the quantity and quality of scholarly publications, citation performance, disciplinary relevance, and the ability of research outputs to contribute to the development of a field. Bibliometric indicators such as publication counts, citation counts, and the h-index are frequently used as descriptive measures of scholarly visibility, although they should be interpreted in relation to disciplinary practices and the characteristics of the underlying database. [3]
Within this framework, Pablo Laguna’s supplied academic profile provides a substantial publication and citation record. The Scopus author identifier enables the indexed record to be distinguished from other researchers, while the ORCID identifier provides an independent persistent identifier for the researcher. [1] [2]
The research profile is presented for an award context associated with the World Neuroscientists Awards. The award information supplied for this page identifies the Innovative Research Award as the recognition category. [4]
Research Profile
The supplied profile places Pablo Laguna within a biomedical research environment at Zaragoza University in Spain. His record, as represented by the supplied Scopus metrics, contains 483 indexed documents and 13,931 citations, resulting in an h-index of 52. [1] These indicators suggest a sustained body of scholarly publication and a substantial level of citation activity within the indexed literature.
Biomedical Image Analysis encompasses computational approaches for extracting, processing, interpreting, and quantifying information from biomedical images and related biological data. Such research can involve mathematical modelling, signal and image processing, pattern recognition, computational analysis, and quantitative methods intended to support scientific investigation and biomedical applications.
Research Contributions
The available profile information indicates a sustained research output reflected in the number of indexed documents and citations. [1] A publication record of this scale provides an extensive scholarly basis for investigating methodological development, collaborative research, and the evolution of research themes over time.
In biomedical research, computational analysis contributes to the transformation of complex experimental and clinical data into measurable information. Research in image and signal analysis can support the identification of patterns, characterization of biological phenomena, quantitative assessment, and development of reproducible analytical methodologies. The significance of individual contributions should, however, be assessed through the relevant publications and their documented scientific context rather than through bibliometric indicators alone. [3]
The combination of an identifiable Scopus record and an ORCID identifier also supports improved attribution and discoverability of scholarly outputs. Persistent identifiers can help distinguish researchers with similar names and facilitate the linking of publications and professional records across scholarly information systems. [2]
Publications
The supplied Scopus profile reports 483 documents associated with the researcher. [1] This figure represents the indexed publication record provided for this article and may include different types of scholarly documents according to the indexing and classification practices of the database.
A complete assessment of publication quality would require examination of individual publications, journals or conferences, authorship roles, methodological contributions, citation contexts, and the relevance of each work to the stated subject area. Accordingly, the document count is presented here as a bibliometric descriptor rather than as an independent measure of research quality.
Research Impact
The supplied citation count of 13,931 and h-index of 52 indicate a substantial citation footprint in the indexed research record. [1] Citation-based indicators can provide useful descriptive evidence of scholarly visibility, but citation behaviour varies substantially across disciplines, publication types, research communities, and time periods. For that reason, bibliometric indicators are most appropriately interpreted alongside qualitative evidence concerning research content and scientific contribution. [3]
From an academic recognition perspective, the combination of publication volume, citation activity, and a persistent researcher identifier provides a structured basis for documenting the researcher’s scholarly profile. The figures presented on this page should be regarded as the supplied profile values and may change as bibliographic databases are updated.
Award Suitability
The Innovative Research Award profile is associated with the World Neuroscientists Awards. [4] Based on the information supplied for this article, the principal evidence supporting consideration for academic recognition includes the researcher’s affiliation, indexed publication record, citation count, h-index, stated subject area, and persistent researcher identifiers.
The available bibliometric information provides measurable evidence of scholarly activity, while the award category provides a recognition framework for research associated with neuroscience and related scientific fields. A formal award decision would ordinarily require additional evidence, including evaluation criteria, peer or committee assessment, specific publication contributions, originality, methodological significance, and documented relevance to the award’s eligibility requirements.
Accordingly, the profile can be presented as an academic recognition candidate on the basis of the supplied research record, while avoiding the implication that bibliometric indicators alone establish the quality or originality of individual scientific contributions.
Conclusion
Pablo Laguna’s supplied academic profile describes a researcher affiliated with Zaragoza University in Spain and associated with the subject area of Biomedical Image Analysis. The reported Scopus record contains 483 documents, 13,931 citations, and an h-index of 52. [1] The associated ORCID identifier provides an additional persistent mechanism for researcher identification. [2]
In the context of the Innovative Research Award and World Neuroscientists Awards, these indicators provide a concise quantitative description of the researcher’s indexed scholarly activity. The profile should be considered together with publication-level evidence, disciplinary context, and the formal criteria of the relevant award when assessing research significance and eligibility.
External Links
References
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- Elsevier. (n.d.). Scopus author details: Pablo Laguna, Author ID 56216881700. Scopus.
https://www.scopus.com/pages/authors/56216881700