Pavan Chandra Konda

762 total citations
26 papers, 447 citations indexed

About

Pavan Chandra Konda is a scholar working on Atomic and Molecular Physics, and Optics, Radiation and Biophysics. According to data from OpenAlex, Pavan Chandra Konda has authored 26 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atomic and Molecular Physics, and Optics, 12 papers in Radiation and 8 papers in Biophysics. Recurrent topics in Pavan Chandra Konda's work include Digital Holography and Microscopy (15 papers), Advanced X-ray Imaging Techniques (12 papers) and Image Processing Techniques and Applications (6 papers). Pavan Chandra Konda is often cited by papers focused on Digital Holography and Microscopy (15 papers), Advanced X-ray Imaging Techniques (12 papers) and Image Processing Techniques and Applications (6 papers). Pavan Chandra Konda collaborates with scholars based in United States, United Kingdom and China. Pavan Chandra Konda's co-authors include Andrew R. Harvey, Roarke Horstmeyer, Shiqi Xu, Kevin C. Zhou, Lars Loetgering, Laura Waller, Jonathan M. Taylor, Joakim Jönsson, Edouard Berrocal and Wenhui Liu and has published in prestigious journals such as Nature Photonics, Scientific Reports and Optics Letters.

In The Last Decade

Pavan Chandra Konda

24 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavan Chandra Konda United States 11 220 209 112 103 88 26 447
Alex Matlock United States 10 195 0.9× 96 0.5× 189 1.7× 119 1.2× 74 0.8× 19 385
Thomas Gutzler Australia 6 359 1.6× 158 0.8× 149 1.3× 119 1.2× 99 1.1× 8 417
Jaebum Chung United States 11 523 2.4× 471 2.3× 102 0.9× 105 1.0× 182 2.1× 14 673
Jonathan C. Petruccelli United States 12 297 1.4× 295 1.4× 93 0.8× 44 0.4× 163 1.9× 53 443
Morteza H. Shoreh Iran 7 256 1.2× 109 0.5× 204 1.8× 53 0.5× 98 1.1× 13 474
Marc Allain France 7 164 0.7× 35 0.2× 270 2.4× 259 2.5× 64 0.7× 15 480
Yaoming Bian China 6 174 0.8× 102 0.5× 91 0.8× 27 0.3× 146 1.7× 8 374
Shun Zhou China 8 197 0.9× 139 0.7× 74 0.7× 44 0.4× 94 1.1× 18 265
Haojiang Zhou United States 10 289 1.3× 49 0.2× 236 2.1× 37 0.4× 54 0.6× 17 604
Hsiou-Yuan Liu United States 6 228 1.0× 63 0.3× 192 1.7× 140 1.4× 74 0.8× 13 453

Countries citing papers authored by Pavan Chandra Konda

Since Specialization
Citations

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

Fields of papers citing papers by Pavan Chandra Konda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pavan Chandra Konda. 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 Pavan Chandra Konda. The network helps show where Pavan Chandra Konda may publish in the future.

Co-authorship network of co-authors of Pavan Chandra Konda

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

All Works

20 of 20 papers shown
1.
Zhou, Kevin C., et al.. (2023). Multi-modal imaging using a cascaded microscope design. Optics Letters. 48(7). 1658–1658. 6 indexed citations
2.
Zhou, Kevin C., Pavan Chandra Konda, Lucas Kreiß, et al.. (2023). Parallelized computational 3D video microscopy of freely moving organisms at multiple gigapixels per second. Nature Photonics. 17(5). 442–450. 20 indexed citations
3.
Xu, Shiqi, Wenhui Liu, Joakim Jönsson, et al.. (2022). Imaging Dynamics Beneath Turbid Media via Parallelized Single‐Photon Detection. Advanced Science. 9(24). e2201885–e2201885. 12 indexed citations
4.
Konda, Pavan Chandra, et al.. (2022). High-speed multi-objective Fourier ptychographic microscopy. Optics Express. 30(16). 29189–29189. 10 indexed citations
5.
Xu, Shiqi, Wenhui Liu, Joakim Jönsson, et al.. (2022). Transient Motion Classification Through Turbid Volumes via Parallelized Single-Photon Detection and Deep Contrastive Embedding. Frontiers in Neuroscience. 16. 908770–908770. 4 indexed citations
6.
Xu, Shiqi, et al.. (2022). Quantitative Jones matrix imaging using vectorial Fourier ptychography. Biomedical Optics Express. 13(3). 1457–1457. 21 indexed citations
7.
Liu, Wenhui, Ruobing Qian, Shiqi Xu, et al.. (2021). Fast and sensitive diffuse correlation spectroscopy with highly parallelized single photon detection. APL Photonics. 6(2). 48 indexed citations
8.
Konda, Pavan Chandra, et al.. (2021). Quantized Fourier ptychography with binary images from SPAD cameras. Photonics Research. 9(10). 1958–1958. 7 indexed citations
9.
Xu, Shiqi, Yuting Li, Timothy Dunn, et al.. (2021). Increasing a microscope’s effective field of view via overlapped imaging and machine learning. Optics Express. 30(2). 1745–1745. 10 indexed citations
10.
Zhou, Kevin C., et al.. (2021). Snapshot 3D imaging with a gigapixel-scale multi-aperture microscope. 6–6. 1 indexed citations
11.
Kong, Fanjie, Kevin C. Zhou, Rong Xu, et al.. (2021). Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3783–3793. 6 indexed citations
12.
Konda, Pavan Chandra, et al.. (2020). Multi-spectral vascular oximetry of rat dorsal spinal cord. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
13.
Konda, Pavan Chandra, Lars Loetgering, Kevin C. Zhou, et al.. (2020). Fourier ptychography: current applications and future promises. Optics Express. 28(7). 9603–9603. 130 indexed citations
14.
Harvey, Andrew R., et al.. (2019). Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware. Scientific Reports. 9(1). 7457–7457. 74 indexed citations
15.
Zhou, Kevin C., Pavan Chandra Konda, Richard J. Chen, et al.. (2019). Learned sensing: jointly optimized microscope hardware for accurate image classification. Biomedical Optics Express. 10(12). 6351–6351. 40 indexed citations
16.
Harvey, Andrew R., et al.. (2018). Fourier Ptychography Using Low-Cost Bayer Color Sensors. JTh3A.3–JTh3A.3.
17.
Konda, Pavan Chandra, et al.. (2017). Miniature Fourier ptychography microscope using Raspberry Pi camera and hardware. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 7. JTu5A.17–JTu5A.17.
18.
Konda, Pavan Chandra, Jonathan M. Taylor, & Andrew R. Harvey. (2017). Scheimpflug multi-aperture Fourier ptychography: coherent computational microscope with gigapixels/s data acquisition rates using 3D printed components. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10076. 100760R–100760R. 9 indexed citations
19.
Konda, Pavan Chandra, Jonathan M. Taylor, & Andrew R. Harvey. (2016). Calibration and aberration correction in Multi-Aperture Fourier Ptychography. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). CT2D.2–CT2D.2. 2 indexed citations
20.
Konda, Pavan Chandra, Jonathan M. Taylor, & Andrew R. Harvey. (2015). Multi-aperture Fourier Ptychography imaging in the near field. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). CM3E.5–CM3E.5. 3 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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