Rohan Dhavalikar

1.2k citations
11 papers · 919 indexed · 1 hit paper · h-index 10
Topics
Characterization and Applications of Magnetic Nanoparticles (11 papers)Geomagnetism and Paleomagnetism Studies (9 papers)Microfluidic and Bio-sensing Technologies (7 papers)
Partner nations
United States

In The Last Decade

Rohan Dhavalikar

11 papers receiving 905 citations

Hit Papers

Magnetic Particle Imaging-Guided Heating in Vivo Using Gr...20182026202020232018100200300

Peers

Rohan Dhavalikar
Comparison fields: 5 of 90
  • Biomedical Engineering 692
  • Biomaterials 332
  • Molecular Biology 289
  • Materials Chemistry 205
  • Renewable Energy, Sustainability and the Environment 120
Replace Benjamin Fellows with:
Benjamin Fellows United States
Shehaab Savliwala United States
Mythreyi Unni United States
Ana C. Bohórquez United States
Sahitya Kumar Avugadda Italy
Laura Asín Spain
T. Binh Italy
James P. Dailey United States
А. Г. Савченко Russia
M. Chastellain Switzerland
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Citations per field
00.5×1.5×2.4×
Benjamin Fellows · 1×
Citations per year

Countries citing papers authored by Rohan Dhavalikar

Since Specialization
Citations

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

Fields of papers citing papers by Rohan Dhavalikar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohan Dhavalikar

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 66
2 10
3
Magnetic Particle Imaging-Guided Heating in Vivo Using Gradient Fields for Arbitrary Localization of Magnetic Hyperthermia Therapybreakdown →
337
4 308
5 8
6 9
7 35
8 107
9 10
10 12
11 17

About Rohan Dhavalikar

Rohan Dhavalikar is a scholar working on Biomedical Engineering, Water Science and Technology and Molecular Biology, having authored 11 papers that have together received 919 indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (11 papers), Geomagnetism and Paleomagnetism Studies (9 papers) and Microfluidic and Bio-sensing Technologies (7 papers). The work is most often cited by research in Biomaterials (332 citations), Biomedical Engineering (692 citations) and Renewable Energy, Sustainability and the Environment (120 citations). Rohan Dhavalikar has collaborated with scholars based in United States. Frequent co-authors include Carlos Rinaldi, Patrick Goodwill, Steven Conolly, Bo Zheng, Zhi Wei Tay, Daniel Hensley, Mythreyi Unni, Nicolas Garraud, David P. Arnold and Shehaab Savliwala. Their work appears in journals such as ACS Nano, Journal of Applied Physics and Journal of Physics D Applied Physics.

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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