Ashkan Pakzad

1.0k total citations
8 papers, 62 citations indexed

About

Ashkan Pakzad is a scholar working on Pulmonary and Respiratory Medicine, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ashkan Pakzad has authored 8 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 2 papers in Neurology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ashkan Pakzad's work include Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Neurological disorders and treatments (2 papers). Ashkan Pakzad is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Neurological disorders and treatments (2 papers). Ashkan Pakzad collaborates with scholars based in United Kingdom, United States and Germany. Ashkan Pakzad's co-authors include Joseph Jacob, Francesco Iacoviello, Jennifer Griffiths, Adam Gibson, Tony Freeth, Andrew Ramsey, Robert Speller, Patrick Pauwels, Stijn E. Verleden and Yipeng Hu and has published in prestigious journals such as PLoS ONE, Neurology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Ashkan Pakzad

7 papers receiving 60 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashkan Pakzad United Kingdom	6	30	11	7	6	6	8	62
Sonja Selder Germany	4	12 0.4×	11 1.0×	17 2.4×		14 2.3×	7	65
Lianjun Gao China	7	7 0.2×	4 0.4×	8 1.1×	3 0.5×	5 0.8×	21	137
Tonči Batinić Croatia	5	30 1.0×	8 0.7×	5 0.7×		2 0.3×	12	58
Pierre Amarenco France	4	17 0.6×	4 0.4×	13 1.9×		14 2.3×	5	57
Bahij Kreidieh United States	10	8 0.3×	18 1.6×	12 1.7×	2 0.3×		20	249
Sarah Blayney United States	4	9 0.3×	3 0.3×	4 0.6×		11 1.8×	6	41
Annemarie Brandhofe Germany	4	12 0.4×	5 0.5×	15 2.1×		2 0.3×	4	31
Huy Thang Nguyen Vietnam	3	35 1.2×	19 1.7×	6 0.9×		9 1.5×	5	82
P.-J. Toussaint Canada	2	7 0.2×	9 0.8×	3 0.4×		4 0.7×	2	29
Kendra M. Braegelmann United States	7	13 0.4×	6 0.5×	10 1.4×		2 0.3×	14	301

Countries citing papers authored by Ashkan Pakzad

Since Specialization

Citations

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

Fields of papers citing papers by Ashkan Pakzad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashkan Pakzad

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

All Works

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8 of 8 papers shown

1.

Wirth, Thomas, Marie T. Krüger, Ashkan Pakzad, et al.. (2024). FAT1 weighted MRI: Diffusion meets anatomical imaging and application in thalamic surgery for tremor. Imaging Neuroscience. 2. 1 indexed citations

2.

Pakzad, Ashkan, Nesrin Moğulkoç, Robert Chapman, et al.. (2024). Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance. Journal Of Big Data. 11(1). 104–104. 8 indexed citations

3.

Pakzad, Ashkan, Nesrin Moğulkoç, An Zhao, et al.. (2023). Automated airway quantification associates with mortality in idiopathic pulmonary fibrosis. European Radiology. 33(11). 8228–8238. 10 indexed citations

4.

Verleden, Stijn E., Jeroen Hendriks, Annemiek Snoeckx, et al.. (2023). Small Airway Disease in Pre-Chronic Obstructive Pulmonary Disease with Emphysema: A Cross-Sectional Study. American Journal of Respiratory and Critical Care Medicine. 209(6). 683–692. 19 indexed citations

5.

Cheema, Sanjay, Susie Lagrata, Salwa Kamourieh, et al.. (2023). Association of Clinical and Neuroanatomic Factors With Response to Ventral Tegmental Area DBS in Chronic Cluster Headache. Neurology. 101(23). e2423–e2433. 6 indexed citations

6.

Wirth, Thomas, Nirosen Vijiaratnam, Christine Girges, et al.. (2023). Parkinson's Disease Tremor Differentially Responds to Levodopa and Subthalamic Stimulation. Movement Disorders Clinical Practice. 10(11). 1639–1649. 1 indexed citations

7.

Pakzad, Ashkan & Joseph Jacob. (2022). Radiology of Bronchiectasis. Clinics in Chest Medicine. 43(1). 47–60. 6 indexed citations

8.

Pakzad, Ashkan, Francesco Iacoviello, Andrew Ramsey, et al.. (2018). Improved X-ray computed tomography reconstruction of the largest fragment of the Antikythera Mechanism, an ancient Greek astronomical calculator. PLoS ONE. 13(11). e0207430–e0207430. 11 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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