Rashindra Manniesing

2.4k total citations
67 papers, 1.6k citations indexed

About

Rashindra Manniesing is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rashindra Manniesing has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pulmonary and Respiratory Medicine, 27 papers in Computer Vision and Pattern Recognition and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rashindra Manniesing's work include Cerebrovascular and Carotid Artery Diseases (26 papers), Medical Image Segmentation Techniques (24 papers) and Acute Ischemic Stroke Management (19 papers). Rashindra Manniesing is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (26 papers), Medical Image Segmentation Techniques (24 papers) and Acute Ischemic Stroke Management (19 papers). Rashindra Manniesing collaborates with scholars based in Netherlands, United States and Germany. Rashindra Manniesing's co-authors include Wiro J. Niessen, Max A. Viergever, Mathias Prokop, Bram van Ginneken, Frederick J. A. Meijer, Aad van der Lugt, Ajay Patel, Marcel T. H. Oei, Max A. Viergever and Ewoud J. Smit and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Rashindra Manniesing

67 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rashindra Manniesing Netherlands 23 653 498 438 398 331 67 1.6k
Bernd Tomandl Germany 29 678 1.0× 539 1.1× 150 0.3× 556 1.4× 595 1.8× 83 2.3k
Marc A. Camacho United States 18 463 0.7× 197 0.4× 339 0.8× 135 0.3× 143 0.4× 27 1.4k
Tomoyuki Noguchi Japan 27 693 1.1× 329 0.7× 78 0.2× 277 0.7× 558 1.7× 102 2.0k
Kanako K. Kumamaru Japan 29 1.7k 2.6× 510 1.0× 70 0.2× 182 0.5× 349 1.1× 136 3.1k
Ivana Galinović Germany 20 327 0.5× 499 1.0× 140 0.3× 728 1.8× 307 0.9× 66 1.4k
Andrew Melbourne United Kingdom 23 738 1.1× 181 0.4× 182 0.4× 106 0.3× 81 0.2× 98 1.8k
Allan J. Hamilton United States 22 204 0.3× 337 0.7× 124 0.3× 244 0.6× 342 1.0× 75 1.9k
Gongping Chen China 23 287 0.4× 149 0.3× 352 0.8× 212 0.5× 175 0.5× 72 1.6k
A. Nabavi Germany 13 843 1.3× 151 0.3× 463 1.1× 122 0.3× 101 0.3× 28 1.4k
Premal A. Patel United Kingdom 13 407 0.6× 145 0.3× 511 1.2× 169 0.4× 38 0.1× 57 1.5k

Countries citing papers authored by Rashindra Manniesing

Since Specialization
Citations

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

Fields of papers citing papers by Rashindra Manniesing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashindra Manniesing

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

All Works

20 of 20 papers shown
1.
Eerden, Anke W. van der, Thomas L. A. van den Heuvel, Marnix C. Maas, et al.. (2021). The radiological interpretation of possible microbleeds after moderate or severe traumatic brain injury: a longitudinal study. Neuroradiology. 64(6). 1145–1156. 2 indexed citations
2.
Eerden, Anke W. van der, Vincent Perlbarg, Priya Vart, et al.. (2021). Traumatic Cerebral Microbleeds in the Subacute Phase Are Practical and Early Predictors of Abnormality of the Normal-Appearing White Matter in the Chronic Phase. American Journal of Neuroradiology. 42(5). 861–867. 2 indexed citations
3.
Meijer, Frederick J. A., et al.. (2020). Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning. Medical Image Analysis. 66. 101810–101810. 23 indexed citations
4.
Pegge, Sjoert, et al.. (2020). Cerebral Artery and Vein Segmentation in Four-dimensional CT Angiography Using Convolutional Neural Networks. Radiology Artificial Intelligence. 2(4). e190178–e190178. 12 indexed citations
5.
Patel, Ajay, Floris H.B.M. Schreuder, Catharina J.M. Klijn, et al.. (2019). Intracerebral Haemorrhage Segmentation in Non-Contrast CT. Scientific Reports. 9(1). 17858–17858. 41 indexed citations
6.
Pegge, Sjoert, Kazuhiro Murayama, Hieronymus D. Boogaarts, et al.. (2019). Color-Mapping of 4D-CTA for the Detection of Cranial Arteriovenous Shunts. American Journal of Neuroradiology. 40(9). 1498–1504. 2 indexed citations
7.
deSouza, Nandita M., Eric Achten, Ángel Alberich‐Bayarri, et al.. (2019). Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR). Insights into Imaging. 10(1). 87–87. 65 indexed citations
8.
Patel, Ajay, et al.. (2019). Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT. IEEE Access. 7. 92355–92364. 46 indexed citations
9.
Teuwen, Jonas, et al.. (2018). MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks.. International Conference on Learning Representations. 2 indexed citations
10.
Patel, Ajay & Rashindra Manniesing. (2018). A convolutional neural network for intracranial hemorrhage detection in non-contrast CT. 14. 46–46. 4 indexed citations
11.
Patel, Ajay, Mathias Prokop, Ewoud J. van Dijk, et al.. (2017). Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients. Scientific Reports. 7(1). 15622–15622. 35 indexed citations
12.
Manniesing, Rashindra, Marcel T. H. Oei, Luuk J. Oostveen, et al.. (2017). White Matter and Gray Matter Segmentation in 4D Computed Tomography. Scientific Reports. 7(1). 119–119. 19 indexed citations
13.
Patel, Ajay, et al.. (2017). Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 1013420–1013420. 5 indexed citations
14.
Patel, Ajay, Bram van Ginneken, Frederick J. A. Meijer, et al.. (2016). Robust cranial cavity segmentation in CT and CT perfusion images of trauma and suspected stroke patients. Medical Image Analysis. 36. 216–228. 22 indexed citations
15.
Kortman, Hans, Ewoud J. Smit, Marcel T. H. Oei, et al.. (2014). 4D-CTA in Neurovascular Disease: A Review. American Journal of Neuroradiology. 36(6). 1026–1033. 83 indexed citations
16.
Durmuş, Büşra, Denise H. M. Heppe, Olta Gishti, et al.. (2014). General and abdominal fat outcomes in school-age children associated with infant breastfeeding patterns. American Journal of Clinical Nutrition. 99(6). 1351–1358. 49 indexed citations
17.
Rozie, S., Coert Metz, Rashindra Manniesing, et al.. (2013). Automatic carotid artery distensibility measurements from CTA using nonrigid registration. Medical Image Analysis. 17(5). 515–524. 6 indexed citations
18.
Manniesing, Rashindra, Zwenneke Flach, Roelof Risselada, et al.. (2010). Intracranial aneurysm segmentation in 3D CT angiography: Method and quantitative validation with and without prior noise filtering. European Journal of Radiology. 79(2). 299–304. 41 indexed citations
19.
Schaap, Michiel, Rashindra Manniesing, Ihor Smal, et al.. (2007). Bayesian Tracking of Tubular Structures and Its Application to Carotid Arteries in CTA. Lecture notes in computer science. 10(Pt 2). 562–570. 31 indexed citations
20.
Manniesing, Rashindra, M.A. Viergever, & Wiro J. Niessen. (2006). Vessel enhancing diffusion: a scale space representation of vessel. Medical Image Analysis. 1 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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