R. Patil

1.2k total citations · 1 hit paper
3 papers, 773 citations indexed

About

R. Patil is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Aerospace Engineering. According to data from OpenAlex, R. Patil has authored 3 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Safety, Risk, Reliability and Quality and 1 paper in Aerospace Engineering. Recurrent topics in R. Patil's work include Video Surveillance and Tracking Methods (3 papers), Advanced Vision and Imaging (2 papers) and Human Pose and Action Recognition (2 papers). R. Patil is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Advanced Vision and Imaging (2 papers) and Human Pose and Action Recognition (2 papers). R. Patil collaborates with scholars based in United States. R. Patil's co-authors include Hironobu Fujiyoshi, Alan J. Lipton, Manuela Veloso, Paul E. Rybski, Takeo Kanade, Fernando De la Torre and B. Browning and has published in prestigious journals such as Figshare.

In The Last Decade

R. Patil

3 papers receiving 687 citations

Hit Papers

Moving target classification and tracking from real-time ... 2002 2026 2010 2018 2002 200 400 600

Peers

R. Patil
David Duggins United States
Lambert E. Wixson United States
Hanxi Li China
Qinfen Zheng United States
Yiming Cui United States
Ben Benfold United Kingdom
R. Patil
Citations per year, relative to R. Patil R. Patil (= 1×) peers Nobuyoshi Enomoto

Countries citing papers authored by R. Patil

Since Specialization
Citations

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

Fields of papers citing papers by R. Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Patil

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

All Works

3 of 3 papers shown
1.
Patil, R., Paul E. Rybski, Takeo Kanade, & Manuela Veloso. (2005). People detection and tracking in high resolution panoramic video mosaic. 2. 1323–1328. 32 indexed citations
2.
Rybski, Paul E., et al.. (2004). CAMEO: Camera Assisted Meeting Event Observer. Figshare. 1634–1639 Vol.2. 16 indexed citations
3.
Lipton, Alan J., Hironobu Fujiyoshi, & R. Patil. (2002). Moving target classification and tracking from real-time video. 8–14. 725 indexed citations breakdown →

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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