Sumit Beniwal

635 citations
17 papers · 541 · h-index 12

Impact in

Papers in

    • Boron and Carbon Nanomaterials Research 2
    • Machine Learning in Materials Science 2
    • Lanthanide and Transition Metal Complexes 2
    • Porphyrin and Phthalocyanine Chemistry 2
    • Surface Chemistry and Catalysis 7

Sumit Beniwal

17 papers receiving 539 citations

Peers

Sumit Beniwal
Comparison fields: 5 of 44
  • Electronic, Optical and Magnetic Materials 167
  • Materials Chemistry 385
  • Biophysics 25
  • Renewable Energy, Sustainability and the Environment 55
  • Electrical and Electronic Engineering 192
Replace Xiangyu Meng with:
Xiangyu Meng China
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Elijah E. Gordon United States
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Chen Hu China
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Citations per field
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Citations per year

Countries citing papers authored by Sumit Beniwal

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Beniwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017170
2 201761
3 201661
4 201538
5 202236
6 201929
7 201826
8 201622
9 202021
10 202120
11 201419
12 201314
13 201610
14 20147
15 20144
16 20242
17 20241

About Sumit Beniwal

Sumit Beniwal is a scholar working on Materials Chemistry, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 17 papers that have together received 541 indexed citations. Recurring topics across this work include Surface Chemistry and Catalysis (7 papers), Molecular Junctions and Nanostructures (4 papers), Magnetism in coordination complexes (3 papers), Surface and Thin Film Phenomena (3 papers), Boron and Carbon Nanomaterials Research (2 papers), Machine Learning in Materials Science (2 papers), Lanthanide and Transition Metal Complexes (2 papers) and Porphyrin and Phthalocyanine Chemistry (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (167 citations), Materials Chemistry (385 citations), Biophysics (25 citations), Renewable Energy, Sustainability and the Environment (55 citations) and Electrical and Electronic Engineering (192 citations). Sumit Beniwal has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Axel Enders, Eva Zurek, James Hooper, P. A. Dowben, Daniel P. Miller, Paulo S. Costa, E. Charles H. Sykes, Shih‐Yuan Liu, Gang Chen and Donna A. Kunkel. Their work appears in journals such as The Journal of Physical Chemistry C, Surface Science, Journal of Physics Condensed Matter, The Journal of Physical Chemistry Letters and ACS Nano.

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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