Niveditha Samudrala
Impact in
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- Force Microscopy Techniques and Applications
- Quantum and electron transport phenomena
- Advanced Chemical Physics Studies
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- Porphyrin and Phthalocyanine Chemistry
- Graphene research and applications
- Pickering emulsions and particle stabilization
Papers in
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- Pickering emulsions and particle stabilization 3
- Catalytic Processes in Materials Science 1
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- Multimodal Machine Learning Applications 2
- Visual Attention and Saliency Detection 2
- Augmented Reality Applications 1
- Co-authors
- Florian Klappenberger (1 shared paper)David Écija (1 shared paper)Knud Seufert (1 shared paper)Johannes V. Barth (1 shared paper)Felix Bischoff (1 shared paper)Sushobhan Joshi (1 shared paper)Willi Auwärter (1 shared paper)Saranyan Vijayaraghavan (1 shared paper)
- Journals
- Langmuir (2 papers)Physical review. E (1 paper)The Journal of Physical Chemistry C (1 paper)Physical Review Letters (1 paper)Nature Nanotechnology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Niveditha Samudrala
9 papers receiving 357 citations
Peers
Comparison fields: 5 of 53
- Atomic and Molecular Physics, and Optics 143
- Materials Chemistry 192
- Biomedical Engineering 161
- Electrical and Electronic Engineering 204
- Ceramics and Composites 10
Countries citing papers authored by Niveditha Samudrala
This map shows the geographic impact of Niveditha Samudrala'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 Niveditha Samudrala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niveditha Samudrala more than expected).
Fields of papers citing papers by Niveditha Samudrala
This network shows the impact of papers produced by Niveditha Samudrala. 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 Niveditha Samudrala. The network helps show where Niveditha Samudrala may publish in the future.
Co-authors
The 25 scholars most cited alongside Niveditha Samudrala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 241 | |
| 2 | 2013 | 52 | |
| 3 | 2014 | 33 | |
| 4 | 2017 | 11 | |
| 5 | 2017 | 11 | |
| 6 | 2013 | 6 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 1 |
About Niveditha Samudrala
Niveditha Samudrala is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Biomedical Engineering, having authored 9 papers that have together received 360 indexed citations. Recurring topics across this work include Pickering emulsions and particle stabilization (3 papers), Multimodal Machine Learning Applications (2 papers), Visual Attention and Saliency Detection (2 papers), Enhanced Oil Recovery Techniques (1 paper), Copper Interconnects and Reliability (1 paper), Augmented Reality Applications (1 paper), Catalytic Processes in Materials Science (1 paper) and Museums and Cultural Heritage (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (143 citations), Materials Chemistry (192 citations), Biomedical Engineering (161 citations), Electrical and Electronic Engineering (204 citations) and Ceramics and Composites (10 citations). Niveditha Samudrala has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Florian Klappenberger, David Écija, Knud Seufert, Johannes V. Barth, Felix Bischoff, Sushobhan Joshi, Willi Auwärter, Saranyan Vijayaraghavan, Udo D. Schwarz and Eric R. Dufresne. Their work appears in journals such as Langmuir, Physical review. E, The Journal of Physical Chemistry C, Physical Review Letters and Nature Nanotechnology.
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.