Subeesh Vasu

418 total citations
13 papers, 132 citations indexed

About

Subeesh Vasu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Subeesh Vasu has authored 13 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 2 papers in Computational Mechanics. Recurrent topics in Subeesh Vasu's work include Advanced Vision and Imaging (6 papers), Advanced Image Processing Techniques (6 papers) and Image Processing Techniques and Applications (5 papers). Subeesh Vasu is often cited by papers focused on Advanced Vision and Imaging (6 papers), Advanced Image Processing Techniques (6 papers) and Image Processing Techniques and Applications (5 papers). Subeesh Vasu collaborates with scholars based in India, United States and Japan. Subeesh Vasu's co-authors include A. N. Rajagopalan, R. Gopalan, C. Sudakar, M. Sahana, Srinivasan Anandan, H. Sepehri‐Amin, P. P. Deepthi, G. Sundararajan, Sudhish N. George and Jonathan Donier and has published in prestigious journals such as IEEE Transactions on Image Processing, Electrochimica Acta and RSC Advances.

In The Last Decade

Subeesh Vasu

11 papers receiving 129 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Subeesh Vasu India	6	91	57	28	14	9	13	132
Ibrahim Pekkucuksen United States	4	205 2.3×	108 1.9×	7 0.3×	1 0.1×	4 0.4×	7	223
Yuning Du China	5	113 1.2×	34 0.6×	7 0.3×	16 1.1×	1 0.1×	8	148
C. Gentsos Greece	4	48 0.5×	21 0.4×	39 1.4×		1 0.1×	9	92
Shaofan Cai China	3	202 2.2×	31 0.5×	3 0.1×		7 0.8×	3	210
Weihao Wu China	4	22 0.2×	6 0.1×	17 0.6×		9 1.0×	11	60
Jiaming Tang China	5	26 0.3×	6 0.1×	7 0.3×	11 0.8×	1 0.1×	11	113
Mengmeng Xu China	7	117 1.3×	14 0.2×	4 0.1×		11 1.2×	13	154
V. Ghenescu Romania	6	31 0.3×	2 0.0×	40 1.4×	2 0.1×	2 0.2×	15	91
Tohid Sedghi Iran	8	38 0.4×	20 0.4×	220 7.9×	7 0.5×		43	276

Countries citing papers authored by Subeesh Vasu

Since Specialization

Citations

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

Fields of papers citing papers by Subeesh Vasu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subeesh Vasu

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

All Works

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13 of 13 papers shown

1.

Vasu, Subeesh, et al.. (2022). HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). abs 1607 5695. 617–626. 5 indexed citations

2.

Vasu, Subeesh, et al.. (2019). Synthesis and Characterization of Iron Oxide Nanoparticles by Thermal Decomposition Method of Iron (III) Chelates. International journal of nanoscience and nanotechnology. 15(1). 65–73. 1 indexed citations

3.

Vasu, Subeesh, et al.. (2018). Non-blind Deblurring: Handling Kernel Uncertainty with CNNs. 3272–3281. 51 indexed citations

4.

Vasu, Subeesh, et al.. (2018). Occlusion-Aware Rolling Shutter Rectification of 3D Scenes. 636–645. 25 indexed citations

5.

Vasu, Subeesh, et al.. (2018). Joint HDR and Super-Resolution Imaging in Motion Blur. 2885–2889. 3 indexed citations

6.

Vasu, Subeesh, M. Sahana, C. Sudakar, R. Gopalan, & G. Sundararajan. (2017). In-situ carbon encapsulation of LiNi1/3Co1/3Mn1/3O2 using pillared ethylene glycol trapped in the metal hydroxide interlayers for enhanced cyclic stability. Electrochimica Acta. 251. 363–377. 12 indexed citations

7.

Vasu, Subeesh & A. N. Rajagopalan. (2017). From Local to Global: Edge Profiles to Camera Motion in Blurred Images. 558–567. 8 indexed citations

8.

Vasu, Subeesh, A. N. Rajagopalan, & Guna Seetharaman. (2017). Camera Shutter-Independent Registration and Rectification. IEEE Transactions on Image Processing. 27(4). 1901–1913. 1 indexed citations

9.

Purohit, Kuldeep, et al.. (2016). Mosaicing deep underwater imagery. 6. 1–8. 2 indexed citations

10.

Vasu, Subeesh, et al.. (2016). Deskewing by space-variant deblurring. 55.1–55.12.

11.

Vasu, Subeesh, et al.. (2015). Tapping motion blur for robust normal estimation of planar scenes. 2761–2765.

12.

Sahana, M., Subeesh Vasu, Srinivasan Anandan, et al.. (2014). Raman spectral signature of Mn-rich nanoscale phase segregations in carbon free LiFe_1−xMn_xPO₄ prepared by hydrothermal technique. RSC Advances. 4(110). 64429–64437. 17 indexed citations

13.

Vasu, Subeesh, Sudhish N. George, & P. P. Deepthi. (2012). An Integrity Verification System for Images Using Hashing and Watermarking. 5. 85–89. 7 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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