Tabinda Sarwar

645 total citations
17 papers, 326 citations indexed

About

Tabinda Sarwar is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Tabinda Sarwar has authored 17 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cognitive Neuroscience. Recurrent topics in Tabinda Sarwar's work include Advanced Neuroimaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (4 papers) and Functional Brain Connectivity Studies (4 papers). Tabinda Sarwar is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (4 papers) and Functional Brain Connectivity Studies (4 papers). Tabinda Sarwar collaborates with scholars based in Australia, Pakistan and Zimbabwe. Tabinda Sarwar's co-authors include Kotagiri Ramamohanarao, Andrew Zalesky, B.T. Thomas Yeo, Ye Tian, Jeffrey Chan, Lawrence Cavedon, Xiuzhen Zhang, Irene L. Hudson, Karin Verspoor and Sattar Seifollahi and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and ACM Computing Surveys.

In The Last Decade

Tabinda Sarwar

15 papers receiving 318 citations

Peers

Tabinda Sarwar

RNMI

CVPR

ECP

Md Abdur Rahaman United States

Biao Cai United States

Gang Qu United States

Tongtong Che China

Yan Tong China

Inas A. Yassine Egypt

Yuhu Shi China

Bellec Pierre

Reza Adalat Canada

Nicola K. Dinsdale United Kingdom

Md Abdur Rahaman United States

Tabinda Sarwar

113 ×0.7

RNMI

220 ×1.4

71 ×1.5

16 ×0.6

CVPR

50 ×2.1

ECP

Citations per year, relative to Tabinda Sarwar Tabinda Sarwar (= 1×) peers Md Abdur Rahaman

Countries citing papers authored by Tabinda Sarwar

Since Specialization

Citations

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

Fields of papers citing papers by Tabinda Sarwar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tabinda Sarwar

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

All Works

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17 of 17 papers shown

Sarwar, Tabinda, Antonio Jimeno Yepes, & Lawrence Cavedon. (2025). Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models. Journal of Medical Internet Research. 27. e73325–e73325.

Chan, Jeffrey, et al.. (2024). Learning to guide local search optimisation for routing problems. Operations Research Letters. 55. 107136–107136. 1 indexed citations

Zalesky, Andrew, et al.. (2024). Predicting an individual’s functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospects. Network Neuroscience. 8(4). 1291–1309. 3 indexed citations

Sarwar, Tabinda, Kotagiri Ramamohanarao, Alessandro Daducci, et al.. (2023). Evaluation of tractogram filtering methods using human-like connectome phantoms. NeuroImage. 281. 120376–120376. 7 indexed citations

Chan, Jeffrey, et al.. (2022). Learning to optimise general TSP instances. International Journal of Machine Learning and Cybernetics. 13(8). 2213–2228. 14 indexed citations

Sarwar, Tabinda, Antonio Jimeno Yepes, Xiuzhen Zhang, et al.. (2022). Development and validation of retrospective electronic frailty index using operational data of aged care homes. BMC Geriatrics. 22(1). 922–922. 4 indexed citations

Sarwar, Tabinda, Sattar Seifollahi, Jeffrey Chan, et al.. (2022). The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges. ACM Computing Surveys. 55(2). 1–40. 51 indexed citations

Drobnjak, Ivana, Peter Neher, Cyril Poupon, & Tabinda Sarwar. (2021). Physical and digital phantoms for validating tractography and assessing artifacts. NeuroImage. 245. 118704–118704. 6 indexed citations

Sarwar, Tabinda, Kotagiri Ramamohanarao, & Andrew Zalesky. (2021). A critical review of connectome validation studies. NMR in Biomedicine. 34(12). e4605–e4605. 10 indexed citations

10.

Chan, Jeffrey, et al.. (2021). Learning to Optimise Routing Problems using Policy Optimisation. RMIT Research Repository (RMIT University Library). 1–8. 7 indexed citations

11.

Sarwar, Tabinda, Ye Tian, B.T. Thomas Yeo, Kotagiri Ramamohanarao, & Andrew Zalesky. (2020). Structure-function coupling in the human connectome: A machine learning approach. NeuroImage. 226. 117609–117609. 67 indexed citations

12.

Sarwar, Tabinda, Caio Seguin, Kotagiri Ramamohanarao, & Andrew Zalesky. (2020). Towards deep learning for connectome mapping: A block decomposition framework. NeuroImage. 212. 116654–116654. 14 indexed citations

13.

Sarwar, Tabinda, Kotagiri Ramamohanarao, & Andrew Zalesky. (2018). Mapping connectomes with diffusion MRI: deterministic or probabilistic tractography?. Magnetic Resonance in Medicine. 81(2). 1368–1384. 115 indexed citations

14.

Sarwar, Tabinda, et al.. (2016). Wavelet denoising of multiframe optical coherence tomography data using similarity measures. IET Image Processing. 11(1). 64–79. 19 indexed citations

15.

Arif, Fahim & Tabinda Sarwar. (2014). Super-Resolution Using Edge Modification through Stationary Wavelet Transform. 27. 357–360. 3 indexed citations

16.

Sarwar, Tabinda, et al.. (2013). Single image magnification with edge enhancement. 10. 321–326.

17.

Sarwar, Tabinda, et al.. (2013). Requirements based testing of software. RMIT Research Repository (RMIT University Library). 347–352. 5 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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