Aishwarya Pawar

464 total citations
10 papers, 120 citations indexed

About

Aishwarya Pawar is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Aishwarya Pawar has authored 10 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Surgery. Recurrent topics in Aishwarya Pawar's work include Advanced Numerical Analysis Techniques (5 papers), Medical Image Segmentation Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). Aishwarya Pawar is often cited by papers focused on Advanced Numerical Analysis Techniques (5 papers), Medical Image Segmentation Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). Aishwarya Pawar collaborates with scholars based in United States, Germany and Netherlands. Aishwarya Pawar's co-authors include Yongjie Zhang, Cosmin Anitescu, Timon Rabczuk, John F. Sarwark, Wing Kam Liu, Sourav Saha, Mahsa Tajdari, Hengyang Li, Xiaodong Wei and Victoria A. Webster‐Wood and has published in prestigious journals such as Scientific Reports, Computer Methods in Applied Mechanics and Engineering and Computers & Mathematics with Applications.

In The Last Decade

Aishwarya Pawar

10 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aishwarya Pawar United States	6	40	35	28	27	10	10	120
Alfonso Santiago Spain	8	32 0.8×	82 2.3×	22 0.8×	15 0.6×	14 1.4×	14	294
Jingpei Lu United States	7	24 0.6×	67 1.9×	43 1.5×	55 2.0×	4 0.4×	13	147
Hadrien Courtecuisse France	5	64 1.6×	70 2.0×	31 1.1×	50 1.9×	27 2.7×	8	174
Aslak W. Bergersen Norway	7	43 1.1×	19 0.5×	28 1.0×	13 0.5×	12 1.2×	13	135
J. Graham United Kingdom	4	15 0.4×	30 0.9×	8 0.3×	116 4.3×	22 2.2×	6	186
Fabrice Jaillet France	7	39 1.0×	18 0.5×	8 0.3×	70 2.6×	30 3.0×	14	140
Jiřı́ Hladůvka Austria	8	15 0.4×	46 1.3×	25 0.9×	120 4.4×	63 6.3×	22	223
Jin Keun Seo South Korea	6	20 0.5×	96 2.7×	18 0.6×	136 5.0×	29 2.9×	7	318
Christopher Villongco United States	9	29 0.7×	140 4.0×	64 2.3×	11 0.4×	62 6.2×	17	420
Fernando O. Campos Austria	15	14 0.3×	62 1.8×	24 0.9×	4 0.1×	63 6.3×	42	592

Countries citing papers authored by Aishwarya Pawar

Since Specialization

Citations

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

Fields of papers citing papers by Aishwarya Pawar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aishwarya Pawar

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

All Works

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10 of 10 papers shown

Balu, Aditya, et al.. (2023). THB-Diff: a GPU-accelerated differentiable programming framework for THB-splines. Engineering With Computers. 40(6). 3477–3493. 2 indexed citations

Pawar, Aishwarya, Linlin Li, Arun K. Gosain, David M. Umulis, & Adrián Buganza Tepole. (2022). PDE-constrained shape registration to characterize biological growth and morphogenesis from imaging data. Engineering With Computers. 38(5). 3909–3924. 3 indexed citations

Pawar, Aishwarya, Cosmin Anitescu, Victoria A. Webster‐Wood, et al.. (2022). Modeling neuron growth using isogeometric collocation based phase field method. Scientific Reports. 12(1). 8120–8120. 18 indexed citations

Tajdari, Mahsa, Farzam Tajdari, Aishwarya Pawar, et al.. (2022). Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks. Engineering With Computers. 38(5). 4061–4084. 12 indexed citations

Pawar, Aishwarya, et al.. (2021). IoT based Water Leakage Detection using Smart Objects for Smart City. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). 8. 415–419. 1 indexed citations

Tajdari, Mahsa, Aishwarya Pawar, Hengyang Li, et al.. (2020). Image-based modelling for Adolescent Idiopathic Scoliosis: Mechanistic machine learning analysis and prediction. Computer Methods in Applied Mechanics and Engineering. 374. 113590–113590. 34 indexed citations

Li, Bin, Jianzhong Fu, Yongjie Zhang, & Aishwarya Pawar. (2020). A trivariate T-spline based framework for modeling heterogeneous solids. Computer Aided Geometric Design. 81. 101882–101882. 5 indexed citations

Pawar, Aishwarya, Yongjie Zhang, Cosmin Anitescu, & Timon Rabczuk. (2019). Joint image segmentation and registration based on a dynamic level set approach using truncated hierarchical B-splines. Computers & Mathematics with Applications. 78(10). 3250–3267. 11 indexed citations

Pawar, Aishwarya, et al.. (2018). DTHB3D_Reg: Dynamic Truncated Hierarchical B-Spline Based 3D Nonrigid Image Registration. Communications in Computational Physics. 23(3). 877–898. 12 indexed citations

10.

Pawar, Aishwarya, et al.. (2016). Adaptive FEM-based nonrigid image registration using truncated hierarchical B-splines. Computers & Mathematics with Applications. 72(8). 2028–2040. 22 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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