Lia Domide

753 citations
6 papers · 332 · h-index 4

Impact in

Papers in

    • Functional Brain Connectivity Studies 5
    • Neural dynamics and brain function 4
    • EEG and Brain-Computer Interfaces 2
    • Memory and Neural Mechanisms 1
    • Biomedical Text Mining and Ontologies 1
    • Bioinformatics and Genomic Networks 1

Lia Domide

4 papers receiving 330 citations

Peers

Lia Domide
Comparison fields: 5 of 46
  • Cognitive Neuroscience 277
  • Radiology, Nuclear Medicine and Imaging 90
  • Cellular and Molecular Neuroscience 47
  • Biophysics 14
  • Computational Mathematics 1
Replace Xiaolu Kong with:
Xiaolu Kong Singapore
Răzvan Gămănuț United States
Loïc Magrou United States
Kevin A. Archie United States
James C. Pang Australia
Hannelore Aerts Belgium
Eric Bridgeford United States
Mianxin Liu China
Marie-Alice Gariel United States
Ricardo Pio Monti United Kingdom
Lia Domide relative to Xiaolu Kong Singapore Xiaolu Kong's profile →
Citations per field
00.5×1.5×2.3×
Xiaolu Kong · 1×
Citations per year

Countries citing papers authored by Lia Domide

Since Specialization
Citations

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

Fields of papers citing papers by Lia Domide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Lia Domide, 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 Lia Domide Line = papers co-authored together Lia Domide links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2013297
2 201422
3 201610
4 20153
5 20250
6 20250

About Lia Domide

Lia Domide is a scholar working on Cognitive Neuroscience, Molecular Biology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 6 papers that have together received 332 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Neural dynamics and brain function (4 papers), EEG and Brain-Computer Interfaces (2 papers), Biomedical Text Mining and Ontologies (1 paper), Memory and Neural Mechanisms (1 paper), Computational Drug Discovery Methods (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Cognitive Neuroscience (277 citations), Radiology, Nuclear Medicine and Imaging (90 citations), Cellular and Molecular Neuroscience (47 citations), Biophysics (14 citations) and Computational Mathematics (1 citation). Lia Domide has collaborated with scholars based in France, Germany and Canada. Frequent co-authors include Viktor Jirsa, Marmaduke Woodman, Anthony R. McIntosh, S. A. Knock, Paula Sanz‐Leon, Laurent Pézard, Hui Li, Erfan Younesi, Martin Hofmann‐Apitius and Heinz‐Theodor Mevissen. Their work appears in journals such as Frontiers in Neuroinformatics, eLife and Journal of Alzheimer s Disease.

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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