Anna Gardumi

403 total citations
8 papers, 267 citations indexed

About

Anna Gardumi is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Geometry and Topology. According to data from OpenAlex, Anna Gardumi has authored 8 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cognitive Neuroscience and 1 paper in Geometry and Topology. Recurrent topics in Anna Gardumi's work include Functional Brain Connectivity Studies (5 papers), Advanced MRI Techniques and Applications (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Anna Gardumi is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Advanced MRI Techniques and Applications (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Anna Gardumi collaborates with scholars based in Netherlands, France and United Kingdom. Anna Gardumi's co-authors include Dimo Ivanov, Kâmil Uludaǧ, Martin Havlíček, Alard Roebroeck, Karl Friston, Elia Formisano, Giancarlo Valente, Lars Gutschalk Hausfeld, Aurélie Desbrée and Josef Pfeuffer and has published in prestigious journals such as NeuroImage, Human Brain Mapping and Computer Methods and Programs in Biomedicine.

In The Last Decade

Anna Gardumi

8 papers receiving 266 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna Gardumi Netherlands 8 195 134 16 15 14 8 267
Katherine S. Aboud United States 9 170 0.9× 147 1.1× 32 2.0× 9 0.6× 11 0.8× 11 404
Nicolas Coquelet Belgium 10 256 1.3× 54 0.4× 7 0.4× 38 2.5× 15 1.1× 24 318
John W. Kakareka United States 10 152 0.8× 76 0.6× 34 2.1× 13 0.9× 6 0.4× 21 344
Saskia Bollmann Australia 12 301 1.5× 222 1.7× 19 1.2× 25 1.7× 17 1.2× 21 418
Ronald Coxon United Kingdom 7 203 1.0× 176 1.3× 16 1.0× 6 0.4× 10 0.7× 7 343
Y. Imai Japan 7 233 1.2× 53 0.4× 3 0.2× 39 2.6× 29 2.1× 23 322
Bram R. Diamond United States 3 76 0.4× 91 0.7× 16 1.0× 37 2.5× 4 0.3× 3 207
Isao Muro Japan 9 108 0.6× 105 0.8× 60 3.8× 28 1.9× 6 0.4× 35 318
Michael Lin United States 2 65 0.3× 131 1.0× 15 0.9× 30 2.0× 4 0.3× 2 242
Sascha Brunheim Germany 11 105 0.5× 167 1.2× 52 3.3× 6 0.4× 11 0.8× 15 328

Countries citing papers authored by Anna Gardumi

Since Specialization
Citations

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

Fields of papers citing papers by Anna Gardumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Gardumi

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

All Works

8 of 8 papers shown
1.
Ivanov, Dimo, Anna Gardumi, Roy A.M. Haast, et al.. (2017). Comparison of 3 T and 7 T ASL techniques for concurrent functional perfusion and BOLD studies. NeuroImage. 156. 363–376. 27 indexed citations
2.
Havlíček, Martin, Alard Roebroeck, Karl Friston, et al.. (2017). On the importance of modeling fMRI transients when estimating effective connectivity: A dynamic causal modeling study using ASL data. NeuroImage. 155. 217–233. 20 indexed citations
3.
Gardumi, Anna, Dimo Ivanov, Lars Gutschalk Hausfeld, et al.. (2016). The effect of spatial resolution on decoding accuracy in fMRI multivariate pattern analysis. NeuroImage. 132. 32–42. 83 indexed citations
4.
Gardumi, Anna, Dimo Ivanov, Martin Havlíček, Elia Formisano, & Kâmil Uludaǧ. (2016). Tonotopic maps in human auditory cortex using arterial spin labeling. Human Brain Mapping. 38(3). 1140–1154. 12 indexed citations
5.
Havlíček, Martin, Alard Roebroeck, Karl Friston, et al.. (2015). Physiologically informed dynamic causal modeling of fMRI data. NeuroImage. 122. 355–372. 85 indexed citations
6.
Broggio, David, Alexandra Moignier, Anna Gardumi, et al.. (2013). Comparison of organs’ shapes with geometric and Zernike 3D moments. Computer Methods and Programs in Biomedicine. 111(3). 740–754. 8 indexed citations
7.
Gardumi, Anna, et al.. (2013). Evaluation of absorbed and effective doses to patients from radiopharmaceuticals using the ICRP 110 reference computational phantoms and ICRP 103 formulation. Radiation Protection Dosimetry. 156(2). 141–159. 23 indexed citations
8.
Gardumi, Anna, J. Farah, & Aurélie Desbrée. (2012). Creation of ORNL NURBS-based phantoms: evaluation of the voxel effect on absorbed doses fromradiopharmaceuticals. Radiation Protection Dosimetry. 153(3). 273–281. 9 indexed citations

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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