Daniel Ramirez

684 citations
3 papers · 33 · h-index 2

Impact in

Papers in

    • Biomedical and Engineering Education 1
    • Sports Dynamics and Biomechanics 1
    • Artificial Immune Systems Applications 1
    • Neural dynamics and brain function 1
    • Neural and Behavioral Psychology Studies 1
    • Visual perception and processing mechanisms 1
Journals
Vision Research (1 paper)Research in Computing Science (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
Partner nations
ColombiaCubaMexico

In The Last Decade

Daniel Ramirez

1 paper receiving 31 citations

Peers

Daniel Ramirez
Comparison fields: 5 of 11
  • Cognitive Neuroscience 29
  • Experimental and Cognitive Psychology 4
  • Cellular and Molecular Neuroscience 4
  • Human-Computer Interaction 1
  • Psychiatry and Mental health 2
Replace Irina Filippi with:
Irina Filippi France
Korbinian Brodmann
Jeffrey B. Dennison United States
Gaëlle Chapuis United Kingdom
Eilidh MacNicol United Kingdom
Sarah Jurk Germany
Habib Benali Netherlands
Daniel E. P. Gomez United States
Loreen Tisdall Switzerland
Cemal Koba Poland
Daniel Ramirez relative to Irina Filippi France Irina Filippi's profile →
Citations per field
00.5×1.5×
Irina Filippi · 1×
Citations per year

Countries citing papers authored by Daniel Ramirez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ramirez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Daniel Ramirez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Ramirez Line = papers co-authored together Daniel Ramirez links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Daniel Ramirez

Daniel Ramirez is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Orthopedics and Sports Medicine, Demography and Infectious Diseases, having authored 3 papers that have together received 33 indexed citations. Recurring topics across this work include Biomedical and Engineering Education (1 paper), Sports Dynamics and Biomechanics (1 paper), Sports Performance and Training (1 paper), Knowledge Societies in the 21st Century (1 paper), Neural dynamics and brain function (1 paper), Neural and Behavioral Psychology Studies (1 paper), Visual perception and processing mechanisms (1 paper) and Artificial Immune Systems Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (29 citations), Experimental and Cognitive Psychology (4 citations), Cellular and Molecular Neuroscience (4 citations), Human-Computer Interaction (1 citation) and Psychiatry and Mental health (2 citations). Daniel Ramirez has collaborated with scholars based in Colombia, Cuba and Mexico. Frequent co-authors include María A. Bobes, Mitchell Valdés-Sosa, Jesús Ortiz, Alejandro Restrepo-Martínez and Pedro Ponce. Their work appears in journals such as Vision Research, Research in Computing Science and DOAJ (DOAJ: Directory of Open Access Journals).

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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