Akshat Gotra

476 total citations
13 papers, 324 citations indexed

About

Akshat Gotra is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Akshat Gotra has authored 13 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Akshat Gotra's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Aortic aneurysm repair treatments (2 papers). Akshat Gotra is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Aortic aneurysm repair treatments (2 papers). Akshat Gotra collaborates with scholars based in Canada. Akshat Gotra's co-authors include Gabriel Chartrand, An Tang, Jacques A. de Guise, Franck Vandenbroucke‐Menu, B. Gallix, Kim‐Nhien Vu, Lojan Sivakumaran, Samuel Kadoury, Claude Kauffmann and Thierry Cresson and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Journal of Vascular Surgery and Journal of Vascular and Interventional Radiology.

In The Last Decade

Akshat Gotra

11 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akshat Gotra Canada 10 136 92 87 74 60 13 324
Ryan Kohlbrenner United States 8 99 0.7× 109 1.2× 57 0.7× 97 1.3× 32 0.5× 27 299
Baochun He China 11 193 1.4× 72 0.8× 128 1.5× 80 1.1× 47 0.8× 24 352
Gil-Sun Hong South Korea 10 149 1.1× 36 0.4× 36 0.4× 36 0.5× 71 1.2× 33 279
Lojan Sivakumaran Canada 6 76 0.6× 156 1.7× 34 0.4× 52 0.7× 29 0.5× 10 329
Ali Barah Qatar 6 79 0.6× 172 1.9× 40 0.5× 42 0.6× 37 0.6× 18 352
Xiangfei Chai China 13 269 2.0× 91 1.0× 76 0.9× 33 0.4× 95 1.6× 19 542
Rongqin Zheng China 11 139 1.0× 68 0.7× 16 0.2× 170 2.3× 44 0.7× 29 324
Benoît Mory France 9 247 1.8× 85 0.9× 117 1.3× 131 1.8× 28 0.5× 24 452
Matthias Thorn Germany 9 115 0.8× 134 1.5× 89 1.0× 77 1.0× 24 0.4× 18 349
Michal Amitai Israel 13 88 0.6× 160 1.7× 55 0.6× 12 0.2× 78 1.3× 30 417

Countries citing papers authored by Akshat Gotra

Since Specialization
Citations

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

Fields of papers citing papers by Akshat Gotra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshat Gotra

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

All Works

13 of 13 papers shown
1.
Gotra, Akshat, et al.. (2022). SUPERA Stenting in the Common Femoral Artery: Early Experience and Practical Considerations. Vascular and Endovascular Surgery. 56(4). 357–368. 12 indexed citations
2.
Gotra, Akshat, et al.. (2022). SUPERA Stenting in the Common Femoral Artery: Early Experience and Practical Considerations. Journal of Vascular Surgery. 76(1). 303–304.
3.
Gotra, Akshat, et al.. (2022). Successful Endovascular Management of Resistant Hypertension Post Kidney Transplant: A Case Report. Canadian Journal of Kidney Health and Disease. 9. 1025075096–1025075096. 1 indexed citations
4.
Khoury, Mona El, et al.. (2019). Imaging features of pure and mixed forms of mucinous breast carcinoma with histopathological correlation. British Journal of Radiology. 92(1095). 20180810–20180810. 19 indexed citations
5.
Gotra, Akshat, et al.. (2018). Predicting inferior vena cava (IVC) filter retrievability using positional parameters: A comparative study of various filter types. Diagnostic and Interventional Imaging. 99(10). 615–624. 18 indexed citations
6.
Gotra, Akshat, et al.. (2017). Positional changes of retrievable inferior vena cava (IVC) filters at time of removal: a comparative study of various filter types and factors that impact retrieval success. Journal of Vascular and Interventional Radiology. 28(2). S89–S89. 1 indexed citations
7.
8.
Gotra, Akshat, Lojan Sivakumaran, Gabriel Chartrand, et al.. (2017). Liver segmentation: indications, techniques and future directions. Insights into Imaging. 8(4). 377–392. 134 indexed citations
9.
Gotra, Akshat, Gabriel Chartrand, Kim‐Nhien Vu, et al.. (2016). Comparison of MRI- and CT-based semiautomated liver segmentation: a validation study. Abdominal Radiology. 42(2). 478–489. 20 indexed citations
10.
Chartrand, Gabriel, et al.. (2016). Liver Segmentation on CT and MR Using Laplacian Mesh Optimization. IEEE Transactions on Biomedical Engineering. 64(9). 2110–2121. 53 indexed citations
11.
Makis, William, Anthony Ciarallo, & Akshat Gotra. (2015). Clinical significance of parotid gland incidentalomas on 18F-FDG PET/CT. Clinical Imaging. 39(4). 667–671. 23 indexed citations
12.
Gotra, Akshat, et al.. (2015). Validation of a Semiautomated Liver Segmentation Method Using CT for Accurate Volumetry. Academic Radiology. 22(9). 1088–1098. 16 indexed citations
13.
Chartrand, Gabriel, et al.. (2014). SEMI-automated liver CT segmentation using Laplacian meshes. 641–644. 18 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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