Phaneendra K. Yalavarthy

3.3k total citations · 1 hit paper
94 papers, 2.4k citations indexed

About

Phaneendra K. Yalavarthy is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Phaneendra K. Yalavarthy has authored 94 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Radiology, Nuclear Medicine and Imaging, 62 papers in Biomedical Engineering and 17 papers in Mechanics of Materials. Recurrent topics in Phaneendra K. Yalavarthy's work include Photoacoustic and Ultrasonic Imaging (54 papers), Optical Imaging and Spectroscopy Techniques (48 papers) and Thermography and Photoacoustic Techniques (15 papers). Phaneendra K. Yalavarthy is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (54 papers), Optical Imaging and Spectroscopy Techniques (48 papers) and Thermography and Photoacoustic Techniques (15 papers). Phaneendra K. Yalavarthy collaborates with scholars based in India, United States and United Kingdom. Phaneendra K. Yalavarthy's co-authors include Hamid Dehghani, Brian W. Pogue, Keith D. Paulsen, Jaya Prakash, Colin M. Carpenter, Manojit Pramanik, Linga Reddy Cenkeramaddi, Subhadra Srinivasan, Matthew Eames and Scott C. Davis and has published in prestigious journals such as Langmuir, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Phaneendra K. Yalavarthy

86 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction

2008 512 citations Phaneendra K. Yalavarthy et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phaneendra K. Yalavarthy India	26	1.7k	1.7k	336	232	176	94	2.4k
Ruud J. G. van Sloun Netherlands	26	1.1k 0.6×	991 0.6×	318 0.9×	234 1.0×	147 0.8×	149	2.5k
Patrick D. Wolf United States	42	1.1k 0.6×	1.2k 0.7×	271 0.8×	47 0.2×	47 0.3×	170	5.3k
S.W. Smith United States	26	2.6k 1.5×	2.2k 1.3×	1.4k 4.0×	676 2.9×	118 0.7×	96	3.7k
Babak Mohammadzadeh Asl Iran	21	667 0.4×	737 0.4×	520 1.5×	67 0.3×	25 0.1×	85	1.9k
Martin O’Halloran Ireland	29	381 0.2×	2.5k 1.5×	688 2.0×	38 0.2×	354 2.0×	204	3.2k
Franco Docchio Italy	24	261 0.2×	353 0.2×	240 0.7×	693 3.0×	110 0.6×	128	2.4k
Hervé Liebgott France	31	1.7k 1.0×	1.4k 0.9×	742 2.2×	275 1.2×	84 0.5×	140	2.4k
Jian Yang China	31	1.5k 0.9×	945 0.6×	23 0.1×	1.5k 6.5×	151 0.9×	260	3.4k
Fugen Zhou China	30	493 0.3×	446 0.3×	210 0.6×	1.4k 6.1×	1.3k 7.5×	179	3.5k

Countries citing papers authored by Phaneendra K. Yalavarthy

Since Specialization

Citations

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

Fields of papers citing papers by Phaneendra K. Yalavarthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phaneendra K. Yalavarthy. 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 Phaneendra K. Yalavarthy. The network helps show where Phaneendra K. Yalavarthy may publish in the future.

Co-authorship network of co-authors of Phaneendra K. Yalavarthy

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ravishankar, Hariharan, et al.. (2025). Information Geometric Approaches for Patient-Specific Test-Time Adaptation of Deep Learning Models for Semantic Segmentation. IEEE Transactions on Medical Imaging. 44(6). 2553–2567. 2 indexed citations

Bathala, Lokesh, et al.. (2025). Inference time correction based on confidence and uncertainty for improved deep-learning model performance and explainability in medical image classification. Computerized Medical Imaging and Graphics. 125. 102630–102630.

Ravishankar, Hariharan, et al.. (2024). TTA-FM: Patient-Specific Test-Time Adaptation Using Foundation Models for Improved Prostate Segmentation in Magnetic Resonance Images. 1–5. 1 indexed citations

Aggarwal, Hemant Kumar, et al.. (2024). Self-Supervised Noise-Aware Kernel Synthesis for Improved X-ray Computed Tomography Imaging. 1–4.

Yalavarthy, Phaneendra K., et al.. (2024). Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping. Magnetic Resonance Materials in Physics Biology and Medicine. 37(3). 411–427.

Paluru, Naveen, et al.. (2024). DF‐QSM: Data Fidelity based Hybrid Approach for Improved Quantitative Susceptibility Mapping of the Brain. NMR in Biomedicine. 37(9). e5163–e5163.

Paluru, Naveen, et al.. (2023). Model resolution‐based deconvolution for improved quantitative susceptibility mapping. NMR in Biomedicine. 37(2). e5055–e5055. 3 indexed citations

Bathala, Lokesh, et al.. (2023). Transformer-Based Automated Segmentation of the Median Nerve in Ultrasound Videos of Wrist-to-Elbow Region. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(1). 56–69. 6 indexed citations

Gupta, Utkarsh, Vijitha Periyasamy, Ronny Hofmann, Jaya Prakash, & Phaneendra K. Yalavarthy. (2023). Two‐step morphology‐based denoising and non‐local means smoothing improves micro‐computed tomography digital rock images. Geophysical Prospecting. 72(5). 2049–2063. 1 indexed citations

10.

Paluru, Naveen, et al.. (2023). Self Distillation for Improving the Generalizability of Retinal Disease Diagnosis Using Optical Coherence Tomography Images. IEEE Journal of Selected Topics in Quantum Electronics. 29(4: Biophotonics). 1–12. 7 indexed citations

11.

Kumar, Abhinav, et al.. (2021). Localization and Activity Classification of Unmanned Aerial Vehicle Using mmWave FMCW Radars. IEEE Sensors Journal. 21(14). 16043–16053. 57 indexed citations

12.

Paluru, Naveen, Aveen Dayal, Tomas Sakinis, et al.. (2021). Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images. IEEE Transactions on Neural Networks and Learning Systems. 32(3). 932–946. 129 indexed citations

13.

Awasthi, Navchetan, Aveen Dayal, Linga Reddy Cenkeramaddi, & Phaneendra K. Yalavarthy. (2021). Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(6). 2023–2037. 49 indexed citations

14.

Gupta, Siddharth, et al.. (2021). Target Classification by mmWave FMCW Radars Using Machine Learning on Range-Angle Images. IEEE Sensors Journal. 21(18). 19993–20001. 52 indexed citations

15.

Awasthi, Navchetan, Sandeep Kumar Kalva, Manojit Pramanik, & Phaneendra K. Yalavarthy. (2021). Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data. Biomedical Optics Express. 12(3). 1320–1320. 8 indexed citations

16.

Dayal, Aveen, Ajit Jha, Santosh Kumar Vishvakarma, et al.. (2021). Classification of Targets Using Statistical Features from Range FFT of mmWave FMCW Radars. Electronics. 10(16). 1965–1965. 14 indexed citations

17.

Awasthi, Navchetan, et al.. (2020). Guided filter based image enhancement for focal error compensation in low cost automated histopathology microscopic system. Journal of Biophotonics. 13(11). e202000123–e202000123. 8 indexed citations

18.

Dukkipati, Ambedkar, et al.. (2020). SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images. IEEE Transactions on Medical Imaging. 40(1). 180–192. 56 indexed citations

19.

Prakash, Jaya, et al.. (2018). Fractional Regularization to Improve Photoacoustic Tomographic Image Reconstruction. IEEE Transactions on Medical Imaging. 38(8). 1935–1947. 42 indexed citations

20.

Ganapathy, Sriram, et al.. (2018). Convolutional Neural Network-Based Robust Denoising of Low-Dose Computed Tomography Perfusion Maps. IEEE Transactions on Radiation and Plasma Medical Sciences. 3(2). 137–152. 39 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.

Explore authors with similar magnitude of impact