Reza Adalat

782 total citations
9 papers, 352 citations indexed

About

Reza Adalat is a scholar working on Cognitive Neuroscience, Health, Toxicology and Mutagenesis and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Reza Adalat has authored 9 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Health, Toxicology and Mutagenesis and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Reza Adalat's work include Functional Brain Connectivity Studies (7 papers), Advanced MRI Techniques and Applications (4 papers) and Health, Environment, Cognitive Aging (4 papers). Reza Adalat is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Advanced MRI Techniques and Applications (4 papers) and Health, Environment, Cognitive Aging (4 papers). Reza Adalat collaborates with scholars based in Canada, France and United States. Reza Adalat's co-authors include Alan C. Evans, Marc-Étienne Rousseau, Tristan Glatard, Samir Das, Najmeh Khalili‐Mahani, Pierre Rioux, Lindsay B. Lewis, Rafael Ferreira da Silva, Claude Lepage and Ewa Deelman and has published in prestigious journals such as NeuroImage, Future Generation Computer Systems and Frontiers in Neuroinformatics.

In The Last Decade

Reza Adalat

8 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reza Adalat Canada 7 192 119 46 40 28 9 352
Margaret King United States 7 191 1.0× 122 1.0× 38 0.8× 41 1.0× 37 1.3× 7 282
Drew Landis United States 7 153 0.8× 108 0.9× 26 0.6× 37 0.9× 25 0.9× 7 244
Dylan Wood United States 5 186 1.0× 115 1.0× 30 0.7× 39 1.0× 25 0.9× 5 279
Catherine Jayapandian United States 8 136 0.7× 19 0.2× 31 0.7× 36 0.9× 81 2.9× 11 417
Rogers F. Silva United States 11 350 1.8× 162 1.4× 5 0.1× 43 1.1× 18 0.6× 42 494
Elizabeth Bock Canada 7 384 2.0× 63 0.5× 9 0.2× 44 1.1× 12 0.4× 11 447
Kevin A. Archie United States 7 285 1.5× 62 0.5× 10 0.2× 8 0.2× 22 0.8× 10 353
Mazlyfarina Mohamad Malaysia 12 221 1.2× 94 0.8× 6 0.1× 67 1.7× 30 1.1× 49 505
Alexander Bowring United Kingdom 6 147 0.8× 75 0.6× 9 0.2× 14 0.3× 19 0.7× 8 214
Stefan Appelhoff Germany 7 296 1.5× 31 0.3× 14 0.3× 16 0.4× 7 0.3× 14 362

Countries citing papers authored by Reza Adalat

Since Specialization
Citations

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

Fields of papers citing papers by Reza Adalat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Adalat

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

All Works

9 of 9 papers shown
1.
Kasper, Lars, Sergiy Boroday, Johanna Bayer, et al.. (2023). Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN. Frontiers in Neuroinformatics. 17. 1251023–1251023.
2.
Glatard, Tristan, Marc-Étienne Rousseau, Sorina Camarasu-Pop, et al.. (2017). Software architectures to integrate workflow engines in science gateways. Future Generation Computer Systems. 75. 239–255. 7 indexed citations
3.
Vincent, Robert D., P. Neelin, Najmeh Khalili‐Mahani, et al.. (2016). MINC 2.0: A Flexible Format for Multi-Modal Images. Frontiers in Neuroinformatics. 10. 35–35. 49 indexed citations
4.
Das, Samir, Tristan Glatard, Leigh MacIntyre, et al.. (2015). The MNI data-sharing and processing ecosystem. NeuroImage. 124(Pt B). 1188–1195. 27 indexed citations
5.
Rousseau, Marc-Étienne, et al.. (2015). BrainBrowser: distributed, web-based neurological data visualization. Frontiers in Neuroinformatics. 8. 89–89. 37 indexed citations
6.
Glatard, Tristan, Lindsay B. Lewis, Rafael Ferreira da Silva, et al.. (2015). Reproducibility of neuroimaging analyses across operating systems. Frontiers in Neuroinformatics. 9. 12–12. 79 indexed citations
7.
Rousseau, Marc-Étienne, et al.. (2014). CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research. Frontiers in Neuroinformatics. 8. 54–54. 138 indexed citations
8.
Glatard, Tristan, et al.. (2014). Interoperability between the CBRAIN and VIP web platforms for neuroimage analysis. Frontiers in Neuroinformatics. 8. 2 indexed citations
9.
Rioux, Pierre, François Chouinard-Decorte, Marc-Étienne Rousseau, et al.. (2012). Integration of a neuroimaging processing pipeline into a pan-canadian computing grid. Journal of Physics Conference Series. 341. 12032–12032. 13 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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