SURYANARAYANA MADDU: h-index, Total Citations, and Citation Map
SURYANARAYANA MADDU's h-index is 12 (14 i10-index, 652+ total citations across 40+ publications) according to Google Scholar as of June 2026. SURYANARAYANA MADDU is affiliated with CCBx - Flatiron Institute/Harvard MCB.
SURYANARAYANA MADDU is a researcher affiliated with CCBx - Flatiron Institute/Harvard MCB, specializing in Inverse Problems, Data-driven Biophysics, Deep Learning. Their work has been cited 652 times. This profile visualizes their global influence, highlighting strong citation networks in China.
SURYANARAYANA MADDU's Citation Metrics
Bibliometric impact based on 40 indexed publications.
- H-Index
- 12
- i10-Index
- 14
- Total Citations
- 652
- Citing Countries
- 11
As of June 2026.
SURYANARAYANA MADDU has an h-index of 12 and 652 total citations across 40 publications, with research cited by institutions in 11 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing SURYANARAYANA MADDU's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Inverse Dirichlet weighting enables reliable training of physics informed neural networks
2022152
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About SURYANARAYANA MADDU's research
SURYANARAYANA MADDU is a researcher in Inverse Problems, Data-driven Biophysics and Deep Learning at CCBx - Flatiron Institute/Harvard MCB. Their work has been cited 652 times across 40 publications (h-index 12), according to Google Scholar.
Their most-cited work, “Inverse Dirichlet weighting enables reliable training of physics informed neural networks” (2022), has accumulated 152 citations. Other influential works include “The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning” (2024) with 132 citations and “Direct numerical simulation of coupled fluid flow and heat transfer for single particles and particle packings by a LBM-approach” (2016) with 80 citations.
Citations of SURYANARAYANA MADDU's research come primarily from China, Germany and United States, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
