Palghat Ramesh

479 total citations
15 papers, 246 citations indexed

About

Palghat Ramesh is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Mechanical Engineering. According to data from OpenAlex, Palghat Ramesh has authored 15 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Mechanical Engineering. Recurrent topics in Palghat Ramesh's work include Modular Robots and Swarm Intelligence (2 papers), Digital Image Processing Techniques (2 papers) and Electromagnetic Simulation and Numerical Methods (2 papers). Palghat Ramesh is often cited by papers focused on Modular Robots and Swarm Intelligence (2 papers), Digital Image Processing Techniques (2 papers) and Electromagnetic Simulation and Numerical Methods (2 papers). Palghat Ramesh collaborates with scholars based in United States and France. Palghat Ramesh's co-authors include Matthew Shreve, Orhan Bulan, Subrata Mukherjee, Fan Shi, Sriganesh Madhvanath, Qun Li, Xitong Yang, Raja Bala, Edgar A. Bernal and Meng H. Lean and has published in prestigious journals such as International Journal for Numerical Methods in Engineering, IEEE Transactions on Intelligent Transportation Systems and Physics of Fluids.

In The Last Decade

Palghat Ramesh

12 papers receiving 234 citations

Peers

Palghat Ramesh
Sven Simon Germany
Jeongho Shin South Korea
Jun Xiang China
Ali Tourani Luxembourg
Ling Qin China
Hamid Bennis Morocco
Sven Simon Germany
Palghat Ramesh
Citations per year, relative to Palghat Ramesh Palghat Ramesh (= 1×) peers Sven Simon

Countries citing papers authored by Palghat Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by Palghat Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Palghat Ramesh

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

All Works

15 of 15 papers shown
1.
Chen, Qiulin, Palghat Ramesh, Chu-heng Liu, & Jan P. Allebach. (2020). Ink Flow Patterns In Multi Color Inkjet Images And Their Impact On Graininess Noise. 9396. 2561–2565. 1 indexed citations
2.
Karatay, Elif, et al.. (2020). The effect of end-plate wetting and unpinned contact lines on the filament thinning of strain hardening fluids. Physics of Fluids. 32(10). 5 indexed citations
3.
Li, Zhi, Palghat Ramesh, & Chu-heng Liu. (2019). Image Quality Assessment Using Computer Vision. Electronic Imaging. 31(10). 317–1. 1 indexed citations
4.
Bernal, Edgar A., Xitong Yang, Qun Li, et al.. (2017). Deep Temporal Multimodal Fusion for Medical Procedure Monitoring Using Wearable Sensors. IEEE Transactions on Multimedia. 20(1). 107–118. 47 indexed citations
5.
Bulan, Orhan, et al.. (2017). Segmentation- and Annotation-Free License Plate Recognition With Deep Localization and Failure Identification. IEEE Transactions on Intelligent Transportation Systems. 18(9). 2351–2363. 141 indexed citations
6.
Ramesh, Palghat & Eric T. B. Gross. (2010). Toner Material State Control in Xerographic Systems. 49(4). 255–263.
7.
Ramesh, Palghat. (2009). Modeling and Control of Toner Material State in Two Component Development Systems. Journal of Imaging Science and Technology. 53(4). 41206–1. 5 indexed citations
8.
Ramesh, Palghat, et al.. (2009). Xerographic Printing System Performance Optimization by Toner Throughput Control. Journal of Imaging Science and Technology. 53(4). 41207–1. 4 indexed citations
9.
Ramesh, Palghat, et al.. (2008). Xerographic Printing System Performance Optimization by Toner Throughput Control. Technical programs and proceedings. 24(1). 195–198. 1 indexed citations
10.
Ramesh, Palghat. (2005). Quantification of Toner Aging in Two Component Development Systems. Technical programs and proceedings. 21(1). 544–547. 2 indexed citations
11.
Ramesh, Palghat, et al.. (1999). Stabilization of Liquid Developed Images. Technical programs and proceedings. 15(1). 638–641. 1 indexed citations
12.
Ramesh, Palghat, et al.. (1998). Virtual Prototyping of Xerographic Components. 2 indexed citations
13.
Shi, Fan, Palghat Ramesh, & Subrata Mukherjee. (1995). On the application of 2D potential theory to electrostatic simulation. Communications in Numerical Methods in Engineering. 11(8). 691–701. 28 indexed citations
14.
Shi, Fan, Subrata Mukherjee, & Palghat Ramesh. (1994). Sensitivity analysis and optimal design in charge transport problems. International Journal for Numerical Methods in Engineering. 37(9). 1445–1464. 3 indexed citations
15.
Ramesh, Palghat & Meng H. Lean. (1993). Stability of the multiple reciprocity method for transient heat conduction. Communications in Numerical Methods in Engineering. 9(7). 629–634. 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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