Navdeep Goel

568 citations
40 papers · 399 indexed · h-index 12

Navdeep Goel

37 papers receiving 358 citations

Peers

Navdeep Goel
Comparison fields: 5 of 86
  • Emergency Medical Services 115
  • Computer Vision and Pattern Recognition 155
  • Applied Mathematics 65
  • Signal Processing 59
  • Geriatrics and Gerontology 21
Replace Hong Kang with:
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Sanjay Subramanian United States
Liebin Zhao China
Yeha Lee South Korea
Anirudh Rao United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Navdeep Goel

Since Specialization
Citations

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

Fields of papers citing papers by Navdeep Goel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Navdeep Goel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Navdeep Goel Line = papers co-authored together Navdeep Goel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20221
4 20207
5 20203
6
KNOWLEDGE AND APPREHENSIONS OF MALES TOWARDS NON SCALPEL VASECTOMY :A HOSPITAL BASED STUDY
20180
7 20181
8 20184
9
Entropy based image watermarking using discrete wavelet transform and singular value decomposition
20164
10 20163
11
Dietary Practices During Menstruation Among Unmarried Girls In Chandigarh
20151
12 201514
13
EVALUATION OF QOS (QUALITY OF SERVICES) BY LOG FRAME ANALYSIS (LFA) AND OCULAR MORBIDITY IN SCHOOL CHILDREN OF CHANDIGARH
20147
14 201318
15
A Study About Library Usage by Undergraduate Medical Students in A Medical College in North India
20122
16
Knowledge and awareness of nursing students about HIV/AIDS.
20109
17 200815
18 200678
19
Evaluation of cold chain system in Chandigarh during PPI campaign 2001-2002.
200511
20 20021

About Navdeep Goel

Navdeep Goel is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 40 papers that have together received 399 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (18 papers), Digital Filter Design and Implementation (9 papers), Mathematical Analysis and Transform Methods (9 papers), Chaos-based Image/Signal Encryption (4 papers), Advanced Steganography and Watermarking Techniques (4 papers), Advanced Adaptive Filtering Techniques (3 papers), Blind Source Separation Techniques (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Emergency Medical Services (115 citations), Computer Vision and Pattern Recognition (155 citations) and Applied Mathematics (65 citations). Navdeep Goel has collaborated with scholars based in India, Spain and China. Frequent co-authors include Kulbir Singh, Gregg Miller, Bing‐Zhao Li, Israel Schur, William P. Arnold, Jonathan D. Licht, Salvador Gabarda, H. M. Swami, Gabriel Cristóbal and Jatinder Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Kidney International and Journal of the Optical Society of America A.

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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