Víctor M. Prieto

872 citations
12 papers · 406 indexed · h-index 7
Topics
Spam and Phishing Detection (4 papers)Web Data Mining and Analysis (4 papers)CAR-T cell therapy research (2 papers)
Partner nations
United StatesSpainSweden

In The Last Decade

Víctor M. Prieto

11 papers receiving 393 citations

Peers

Víctor M. Prieto
Comparison fields: 5 of 72
  • Oncology 198
  • Molecular Biology 151
  • Immunology 95
  • Artificial Intelligence 51
  • Epidemiology 42
Replace Meirui Qian with:
Meirui Qian China
Jeffrey Botbyl United States
Eva Krieghoff‐Henning Germany
Paula Kim United States
Robert T. Lewis United States
P. Y. Liu United States
Yinghong Yang China
Paul Johannet United States
Patrick Tan Singapore
Samir Gupta United States
Víctor M. Prieto relative to Meirui Qian China Meirui Qian's profile →
Citations per field
00.5×9.5×
Meirui Qian · 1×
Citations per year

Countries citing papers authored by Víctor M. Prieto

Since Specialization
Citations

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

Fields of papers citing papers by Víctor M. Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víctor M. Prieto. 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 Víctor M. Prieto. The network helps show where Víctor M. Prieto may publish in the future.

Co-authorship network of co-authors of Víctor M. Prieto

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 31
3 107
4
Soft-404 Pages, A Crawling Problem
1
5 13
6 1
7 1
8 198
9
SPANISH EVALUATIVE MORPHOLOGY: PRAGMATIC, SOCIOLINGUISTIC, AND SEMANTIC ISSUES
6
10 4
11 9
12
Intradermal injection of granulocyte-macrophage colony-stimulating factor (GM-CSF) in patients with metastatic melanoma recruits dendritic cells.
35

About Víctor M. Prieto

Víctor M. Prieto is a scholar working on Linguistics and Language, Signal Processing and Oncology, having authored 12 papers that have together received 406 indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), Web Data Mining and Analysis (4 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Oncology (198 citations), Gastroenterology (28 citations) and Immunology (95 citations). Víctor M. Prieto has collaborated with scholars based in United States, Spain and Sweden. Frequent co-authors include Manuel Álvarez, Fidel Cacheda, Omar Eton, Kathleen Sanders, Michael B. Atkins, Jeffrey A. Sosman, Christine Byrnes, David F. McDermott, José Luís Oliveira and Sérgio Matos. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

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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