J. S. Sahambi

1.3k total citations
38 papers, 988 citations indexed

About

J. S. Sahambi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, J. S. Sahambi has authored 38 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in J. S. Sahambi's work include Medical Image Segmentation Techniques (14 papers), Image and Signal Denoising Methods (13 papers) and ECG Monitoring and Analysis (9 papers). J. S. Sahambi is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Image and Signal Denoising Methods (13 papers) and ECG Monitoring and Analysis (9 papers). J. S. Sahambi collaborates with scholars based in India. J. S. Sahambi's co-authors include Rajendra Bhatt, S.N. Tandon, Sarada Prasad Dakua, Shashanka Venkataramanan, Pranay Prabhat, Harshal B. Nemade, Malaya Kumar Nath, Prabin Kumar Bora, Deepak Chawla and Suksham Jain and has published in prestigious journals such as Medical & Biological Engineering & Computing, Computerized Medical Imaging and Graphics and Digital Signal Processing.

In The Last Decade

J. S. Sahambi

35 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. S. Sahambi India	15	544	428	340	201	178	38	988
Abhay Upadhyay India	15	260 0.5×	578 1.4×	243 0.7×	142 0.7×	327 1.8×	51	1.1k
Udit Satija India	19	664 1.2×	515 1.2×	462 1.4×	113 0.6×	273 1.5×	75	1.5k
Ramesh Kumar Sunkaria India	18	558 1.0×	350 0.8×	261 0.8×	144 0.7×	100 0.6×	94	956
Zümray Dokur Türkiye	19	425 0.8×	444 1.0×	198 0.6×	275 1.4×	332 1.9×	58	1.3k
Shivnarayan Patidar India	14	503 0.9×	656 1.5×	195 0.6×	80 0.4×	405 2.3×	28	1.1k
Yakup Kutlu Türkiye	15	333 0.6×	352 0.8×	159 0.5×	79 0.4×	199 1.1×	60	978
M. Bilginer Gülmezoğlu Türkiye	10	362 0.7×	233 0.5×	201 0.6×	186 0.9×	100 0.6×	29	734
Ahmad Ayatollahi Iran	18	173 0.3×	237 0.6×	170 0.5×	288 1.4×	181 1.0×	97	1.2k
Fatma Lati̇foğlu Türkiye	16	163 0.3×	245 0.6×	146 0.4×	106 0.5×	86 0.5×	81	767
Binish Fatimah India	10	195 0.4×	233 0.5×	163 0.5×	56 0.3×	93 0.5×	27	554

Countries citing papers authored by J. S. Sahambi

Since Specialization

Citations

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

Fields of papers citing papers by J. S. Sahambi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. S. Sahambi. 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 J. S. Sahambi. The network helps show where J. S. Sahambi may publish in the future.

Co-authorship network of co-authors of J. S. Sahambi

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

All Works

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20 of 20 papers shown

Sahambi, J. S., et al.. (2025). CMOA-Net: Competent Multi-Observant Attention Network for Single-Image Super-Resolution. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(6). 3881–3894.

Kumbhani, Brijesh, et al.. (2025). Contactless Breathing Monitoring at Home and in the Hospital: Protocol for a Low-Cost Frequency-Modulated Continuous-Wave Radar-Based Device. JMIR Research Protocols. 14. e59532–e59532. 2 indexed citations

Sahambi, J. S., et al.. (2025). RMRDN: Recurrent multi-receptive residual dense network for image super-resolution. Digital Signal Processing. 168. 105556–105556.

Sahambi, J. S., et al.. (2023). A Lightweight Deep Residual Attention Network for Single Image Super Resolution. 1–6. 1 indexed citations

Sahambi, J. S., et al.. (2016). Vehicle Tracking in Video using Fractional Feedback Kalman Filter. IEEE Transactions on Computational Imaging. 1–1. 25 indexed citations

Sahambi, J. S., et al.. (2016). Curvelet initialized level set cell segmentation for touching cells in low contrast images. Computerized Medical Imaging and Graphics. 49. 46–57. 15 indexed citations

Sahambi, J. S., et al.. (2015). A Framework for Segmentation of Inhomogeneous Live Cell Images using Fractional Derivatives and Level Set Method. International Journal of Computer Applications. 127(3). 1–8. 1 indexed citations

Sahambi, J. S., et al.. (2015). A framework for improvement in homogeneity of fluorescence and bright field live cell images using fractional derivatives. 20. 1160–1165. 2 indexed citations

Sahambi, J. S., et al.. (2015). Vehicle tracking using fractional order Kalman filter for non-linear system. 474–479. 6 indexed citations

10.

Dakua, Sarada Prasad & J. S. Sahambi. (2011). Detection of Left Ventricular Myocardial Contours from Ischemic Cardiac MR Images. IETE Journal of Research. 57(4). 372–372. 26 indexed citations

11.

Dakua, Sarada Prasad & J. S. Sahambi. (2010). Automatic Left Ventricular Contour Extraction from Cardiac Magnetic Resonance Images Using Cantilever Beam and Random Walk Approach. PubMed. 10(1). 30–43. 38 indexed citations

12.

Dakua, Sarada Prasad & J. S. Sahambi. (2010). A Strategic Approach for Cardiac MR Left Ventricle Segmentation. 10(3). 163–168. 3 indexed citations

13.

Sahambi, J. S., et al.. (2008). Modified homomorphic wavelet based despeckling of medical ultrasound images. Conference proceedings - Canadian Conference on Electrical and Computer Engineering. 887–890. 8 indexed citations

14.

Nath, Malaya Kumar & J. S. Sahambi. (2008). Independent component analysis of functional MRI data. 1–6. 5 indexed citations

15.

Sahambi, J. S., et al.. (2004). A comparative survey on removal of mecg artifacts from FECG using ICA algorrrhms. 48. 88–91. 7 indexed citations

16.

Sahambi, J. S., S.N. Tandon, & Rajendra Bhatt. (2002). A new approach for on-line ECG characterization. 409–411. 5 indexed citations

17.

Sahambi, J. S., S.N. Tandon, & Rajendra Bhatt. (1998). Wavelet based ST-segment analysis. Medical & Biological Engineering & Computing. 36(5). 568–572. 28 indexed citations

18.

Sahambi, J. S., S.N. Tandon, & Rajendra Bhatt. (1997). Quantitative analysis of errors due to power-line interference and base-line drift in detection of onsets and offsets in ECG using wavelets. Medical & Biological Engineering & Computing. 35(6). 747–751. 30 indexed citations

19.

Sahambi, J. S. & Rajendra Bhatt. (1997). Using Wavelet Transforms for ECG Characterization. 76 indexed citations

20.

Sahambi, J. S., S.N. Tandon, & Rajendra Bhatt. (1997). Using wavelet transforms for ECG characterization. An on-line digital signal processing system. IEEE Engineering in Medicine and Biology Magazine. 16(1). 77–83. 284 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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