Suvranu De

8.9k citations
257 papers · 6.8k · 3 hit papers · h-index 40

Impact in

    • Graphene research and applications
    • 2D Materials and Applications
    • Boron and Carbon Nanomaterials Research
    • MXene and MAX Phase Materials
    • Carbon Nanotubes in Composites

Papers in

Suvranu De

250 papers receiving 6.6k citations

Suvranu De's Hit Papers

Multiscale modeling meets machine learning: What can we learn? 2020 · 257 citations
2570+4+9Years since publication100200300400

Peers

Suvranu De
Comparison fields: 5 of 187
  • Materials Chemistry 2.9k
  • Health Informatics 42
  • Human-Computer Interaction 180
  • Mechanics of Materials 765
  • Biomedical Engineering 1.3k
Replace Mauro Ferrari with:
Mauro Ferrari Italy
Paolo Fiorini Italy
Dimitrios I. Fotiadis Greece
Arianna Menciassi Italy
Aimin Hao China
Chris Van Hoof Belgium
Zhanpeng Jin China
Rui Li China
Wei Xu China
Ning Pan United States
Suvranu De relative to Mauro Ferrari Italy Mauro Ferrari's profile →
Citations per field
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Mauro Ferrari · 1×
Citations per year

Countries citing papers authored by Suvranu De

Since Specialization
Citations

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

Fields of papers citing papers by Suvranu De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suvranu De, 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 Suvranu De Line = papers co-authored together Suvranu De links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 257 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
Hit paper breakdown →
2019426
2
Mechanical properties of the hexagonal boron nitride monolayer: Ab initio study
Hit paper breakdown →
2012385
3 2018272
4 2014270
5 2013257
6
Multiscale modeling meets machine learning: What can we learn?
Hit paper breakdown →
2020257
7 2006253
8 2012239
9 2013166
10 2018129
11 2012109
12 2001109
13 2013104
14 201392
15 201691
16 201389
17 200878
18 201074
19 201272
20 202272

About Suvranu De

Suvranu De is a scholar working on Surgery, Biomedical Engineering, Materials Chemistry, Mechanics of Materials and Computational Mechanics, having authored 257 papers that have together received 6.8k indexed citations. Recurring topics across this work include Surgical Simulation and Training (78 papers), Optical Imaging and Spectroscopy Techniques (18 papers), Augmented Reality Applications (18 papers), Anatomy and Medical Technology (17 papers), Numerical methods in engineering (17 papers), Boron and Carbon Nanomaterials Research (16 papers), Graphene research and applications (15 papers) and Energetic Materials and Combustion (14 papers). The work is most often cited by research in Materials Chemistry (2.9k citations), Health Informatics (42 citations), Human-Computer Interaction (180 citations), Mechanics of Materials (765 citations) and Biomedical Engineering (1.3k citations). Suvranu De has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Qing Peng, Wei Ji, Xiaodong Wen, Klaus‐Jürgen Bathe, A. Zamiri, Yi-Je Lim, Chao Liang, Steven D. Schwaitzberg, Daniel B. Jones and Ganesh Sankaranarayanan. Their work appears in journals such as Surgical Endoscopy, Scientific Reports, RSC Advances, Physical Chemistry Chemical Physics and Computers & Structures.

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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