Arkiev D’Souza

556 total citations
24 papers, 350 citations indexed

About

Arkiev D’Souza is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Arkiev D’Souza has authored 24 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Neurology and 7 papers in Cognitive Neuroscience. Recurrent topics in Arkiev D’Souza's work include Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (9 papers) and Functional Brain Connectivity Studies (7 papers). Arkiev D’Souza is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (9 papers) and Functional Brain Connectivity Studies (7 papers). Arkiev D’Souza collaborates with scholars based in Australia, United States and Denmark. Arkiev D’Souza's co-authors include Rob Herbert, Bart Bolsterlee, Fernando Calamante, Simon C. Gandevia, Jinglei Lv, Taija Finni, Elizabeth Clarke, Marshall A. Dalton, Michael Barnett and Rui Zeng and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and The Journal of Physiology.

In The Last Decade

Arkiev D’Souza

20 papers receiving 345 citations

Peers

Countries citing papers authored by Arkiev D’Souza

Since Specialization

Citations

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

Fields of papers citing papers by Arkiev D’Souza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arkiev D’Souza. 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 Arkiev D’Souza. The network helps show where Arkiev D’Souza may publish in the future.

Co-authorship network of co-authors of Arkiev D’Souza

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Quantifying neurodegeneration within subdivisions of core motor pathways in amyotrophic lateral sclerosis using diffusion MRI 2025 ·Journal of Neurology ·Hannes Almgren, Colin Mahoney, William Huynh, Arkiev D’Souza, (unknown), Jinglei Lv, Chenyu Wang, Matthew C. Kiernan, Fernando Calamante, Sicong Tu	0
2	Fibre Population-guided Pre-training for 3D Spatial Super-Resolution on Multimodal Brain Diffusion MR Imaging 2024 ·(unknown), Xinyi Wang, Mariano Cabezas, Arkiev D’Souza, Michael Barnett, Fernando Calamante, Weidong Cai, Chenyu Wang	0
3	Tremor suppression following treatment with MRgFUS: skull density ratio consistency and degree of posterior dentatorubrothalamic tract lesioning predicts long-term clinical outcomes in essential tremor 2023 ·Frontiers in Neurology ·(unknown), Jerome J. Maller, Yael Barnett, Benjamin Jonker, Michael Barnett, Arkiev D’Souza, Fernando Calamante, (unknown), (unknown), Chenyu Wang, Stephen Tisch	5
4	High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions 2023 ·SHILAP Revista de lepidopterología ·(unknown), Sheng Chen, Arkiev D’Souza, Dongnan Liu, Fernando Calamante, Michael Barnett, Weidong Cai, Chenyu Wang, Mariano Cabezas	1
5	Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications 2023 ·Brain Communications ·(unknown), (unknown), Arkiev D’Souza, Mariano Cabezas, Weidong Cai, Michael Barnett, Omid Kavehei, Chenyu Wang, Armin Nikpour	1
6	Hippocampal Neuronal Integrity and Functional Connectivity Within the Default Mode Network in Mild Cognitive Impairment: A Multimodal Investigation 2022 ·Brain Connectivity ·Marilena M. DeMayo, Jinglei Lv, Shantel L. Duffy, Arkiev D’Souza, Loren Mowszowski, Sharon L. Naismith, Fernando Calamante	1
7	New insights into anatomical connectivity along the anterior–posterior axis of the human hippocampus using in vivo quantitative fibre tracking 2022 ·eLife ·Marshall A. Dalton, Arkiev D’Souza, Jinglei Lv, Fernando Calamante	41
8	White matter alterations in focal to bilateral tonic-clonic seizures 2022 ·Frontiers in Neurology ·(unknown), Arkiev D’Souza, Rui Zeng, Michael Barnett, Omid Kavehei, Armin Nikpour, Chenyu Wang	7
9	Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks 2022 ·NeuroImage ·(unknown), Arkiev D’Souza, Brandon Munn, Jinglei Lv, László Záborszky, Eli J. Müller, Gabriel Wainstein, Fernando Calamante, James M. Shine	20
10	Structure-Function Coupling Reveals Seizure Onset Connectivity Patterns 2022 ·Applied Sciences ·(unknown), Arkiev D’Souza, Michael Barnett, Omid Kavehei, Chenyu Wang, Armin Nikpour	1
11	Building a tissue‐unbiased brain template of fiber orientation distribution and tractography with multimodal registration 2022 ·Magnetic Resonance in Medicine ·Jinglei Lv, Rui Zeng, (unknown), Arkiev D’Souza, Fernando Calamante	8
12	A robust framework for characterising diffusion metrics of the median and ulnar nerves: Exploiting state‐of‐the‐art tracking methods 2021 ·Journal of the Peripheral Nervous System ·Arkiev D’Souza, Chenyu Wang, Sicong Tu, (unknown), Matthew C. Kiernan, Michael Barnett, Fernando Calamante	3
13	Architecture of the medial gastrocnemius muscle in people who have had a stroke: A diffusion tensor imaging investigation 2020 ·Clinical Biomechanics ·Arkiev D’Souza, Bart Bolsterlee, Rob Herbert	6
14	Intramuscular Fat in the Medial Gastrocnemius Muscle of People Who Have Had a Stroke 2020 ·Frontiers in Bioengineering and Biotechnology ·Arkiev D’Souza, Bart Bolsterlee, Rob Herbert	6
15	Intramuscular fat in children with unilateral cerebral palsy 2020 ·Clinical Biomechanics ·Arkiev D’Souza, Bart Bolsterlee, (unknown), Rob Herbert	11
16	Muscle architecture in children with cerebral palsy and ankle contractures: an investigation using diffusion tensor imaging 2019 ·Clinical Biomechanics ·Arkiev D’Souza, Bart Bolsterlee, (unknown), Rob Herbert	32
17	Reliability and robustness of muscle architecture measurements obtained using diffusion tensor imaging with anatomically constrained tractography 2019 ·Journal of Biomechanics ·Bart Bolsterlee, Arkiev D’Souza, Rob Herbert	56
18	Three-dimensional architecture of the whole human soleus muscle in vivo 2018 ·PeerJ ·Bart Bolsterlee, Taija Finni, Arkiev D’Souza, (unknown), Elizabeth Clarke, Rob Herbert	79
19	History‐dependence of muscle slack length following contraction and stretch in the human vastus lateralis 2018 ·The Journal of Physiology ·Peter W. Stubbs, Lee D. Walsh, Arkiev D’Souza, Martin E. Héroux, Bart Bolsterlee, Simon C. Gandevia, Rob Herbert	15
20	How does passive lengthening change the architecture of the human medial gastrocnemius muscle? 2017 ·Journal of Applied Physiology ·Bart Bolsterlee, Arkiev D’Souza, Simon C. Gandevia, Rob Herbert	51

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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