Rushikesh Borse

404 total citations
15 papers, 234 citations indexed

About

Rushikesh Borse is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Rushikesh Borse has authored 15 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 2 papers in Cognitive Neuroscience. Recurrent topics in Rushikesh Borse's work include Advanced Steganography and Watermarking Techniques (3 papers), Digital Media Forensic Detection (3 papers) and Vehicle License Plate Recognition (2 papers). Rushikesh Borse is often cited by papers focused on Advanced Steganography and Watermarking Techniques (3 papers), Digital Media Forensic Detection (3 papers) and Vehicle License Plate Recognition (2 papers). Rushikesh Borse collaborates with scholars based in India and United States. Rushikesh Borse's co-authors include Ashwani Kumar, Rishabh Iyer, Subhasis Chaudhuri, Shripad Bhatlawande, Akshay R. Yadav, Swati Shilaskar, Narayana Darapaneni, Deepak B. Rawool, Anwesh Reddy Paduri and S.V.S. Malik and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Microbiological Methods.

In The Last Decade

Rushikesh Borse

13 papers receiving 187 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rushikesh Borse India 5 159 82 39 23 23 15 234
Priyanka Rathee India 6 136 0.9× 38 0.5× 20 0.5× 19 0.8× 11 0.5× 9 300
V Kanchana India 9 111 0.7× 51 0.6× 14 0.4× 18 0.8× 21 0.9× 34 220
Dinesh Bhagwan Hanchate India 3 132 0.8× 42 0.5× 13 0.3× 14 0.6× 16 0.7× 9 222
S. Nandhini India 8 160 1.0× 46 0.6× 17 0.4× 15 0.7× 6 0.3× 33 304
Edwin R. Arboleda Philippines 10 133 0.8× 109 1.3× 23 0.6× 50 2.2× 9 0.4× 61 351
Yun-Wei Lin Taiwan 6 136 0.9× 47 0.6× 57 1.5× 33 1.4× 23 1.0× 10 292
S. Anandamurugan India 5 205 1.3× 97 1.2× 21 0.5× 8 0.3× 9 0.4× 14 268
Rohani Farook Malaysia 7 224 1.4× 128 1.6× 43 1.1× 15 0.7× 16 0.7× 18 327
S. K. Bodhe India 10 337 2.1× 192 2.3× 57 1.5× 25 1.1× 14 0.6× 34 489
Aasheesh Shukla India 8 106 0.7× 41 0.5× 84 2.2× 17 0.7× 6 0.3× 64 303

Countries citing papers authored by Rushikesh Borse

Since Specialization
Citations

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

Fields of papers citing papers by Rushikesh Borse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rushikesh Borse

This figure shows the co-authorship network connecting the top 25 collaborators of Rushikesh Borse. A scholar is included among the top collaborators of Rushikesh Borse 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 Rushikesh Borse. Rushikesh Borse 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.
Bhatlawande, Shripad, et al.. (2024). A Smart Clothing Approach for Augmenting Mobility of Visually Impaired People. IEEE Access. 12. 24659–24671. 2 indexed citations
2.
Borse, Rushikesh, et al.. (2024). Detecting early warning signs of employee attrition using machine learning algorithms. Journal of Intelligent & Fuzzy Systems. 2 indexed citations
4.
Darapaneni, Narayana, et al.. (2021). Traffic Monitoring and Analysis At Toll Plaza. 1–6. 2 indexed citations
5.
Borse, Rushikesh, et al.. (2018). EMOTION RECOGNITION BASED ON VARIOUS PHYSIOLOGICAL SIGNALS - A REVIEW. SHILAP Revista de lepidopterología. 9(3). 1815–1822. 7 indexed citations
6.
Borse, Rushikesh, et al.. (2017). Alternative Product Label Reading and Speech Conversion: An Aid for Blind Person. 10. 1–6. 1 indexed citations
7.
Borse, Rushikesh, et al.. (2017). Employing minimum distance classifier for emotion recognition analysis using EEG signals. 48. 1–9. 1 indexed citations
8.
Borse, Rushikesh, et al.. (2015). Design and implementation of 16 × 16 multiplier using Vedic mathematics. 1174–1177. 24 indexed citations
9.
Borse, Rushikesh, et al.. (2015). An electronic solution of amateur radio for life saving in times of natural calamities. 2. 1–6. 2 indexed citations
10.
Iyer, Rishabh, Rushikesh Borse, & Subhasis Chaudhuri. (2014). Embedding capacity estimation of reversible watermarking schemes. Sadhana. 39(6). 1357–1385. 5 indexed citations
11.
Borse, Rushikesh, et al.. (2014). Competitive analysis of existing image quality assessment methods. 9. 1440–1444. 4 indexed citations
12.
Kumar, Ashwani, et al.. (2013). Image processing for smart farming: Detection of disease and fruit grading. 521–526. 179 indexed citations
13.
Borse, Rushikesh, et al.. (2012). Employing SVD and Wavelets for Digital Image Forensics and Tampering Detection. 135–138. 3 indexed citations
14.
15.
Borse, Rushikesh & Subhasis Chaudhuri. (2010). Computation of embedding capacity in reversible watermarking schemes. 472–478. 1 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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