Akshay Mathkar

1.2k citations
10 papers · 1.1k · h-index 9

Impact in

Papers in

    • Graphene research and applications 7
    • Diamond and Carbon-based Materials Research 2
    • Graphene and Nanomaterials Applications 2
    • Advanced Sensor and Energy Harvesting Materials 2

Akshay Mathkar

10 papers receiving 1.1k citations

Peers

Akshay Mathkar
Comparison fields: 5 of 61
  • Materials Chemistry 789
  • Electronic, Optical and Magnetic Materials 231
  • Biomedical Engineering 450
  • Renewable Energy, Sustainability and the Environment 128
  • Polymers and Plastics 98
Replace Parambath M. Sudeep with:
Parambath M. Sudeep United States
Zainab Zafar China
LePing Yu Australia
Jung‐Hwan Jung South Korea
John B. Boland Ireland
Jörg Engstler Germany
Gaorong Han China
Samuel Yick Australia
Rekha Narayan South Korea
Liusi Yang China
Akshay Mathkar relative to Parambath M. Sudeep United States Parambath M. Sudeep's profile →
Citations per field
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Citations per year

Countries citing papers authored by Akshay Mathkar

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Mathkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2012375
2 2012208
3 2012141
4 2012127
5 2013109
6 201371
7 201430
8 201224
9 201421
10 20132

About Akshay Mathkar

Akshay Mathkar is a scholar working on Materials Chemistry, Biomedical Engineering, Surfaces, Coatings and Films, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Graphene research and applications (7 papers), Graphene and Nanomaterials Applications (2 papers), Diamond and Carbon-based Materials Research (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Surface Modification and Superhydrophobicity (2 papers), Supercapacitor Materials and Fabrication (2 papers), Advanced Battery Materials and Technologies (1 paper) and Advanced Battery Technologies Research (1 paper). The work is most often cited by research in Materials Chemistry (789 citations), Electronic, Optical and Magnetic Materials (231 citations), Biomedical Engineering (450 citations), Renewable Energy, Sustainability and the Environment (128 citations) and Polymers and Plastics (98 citations). Akshay Mathkar has collaborated with scholars based in United States, China and India. Frequent co-authors include Pulickel M. Ajayan, Charudatta Galande, Arava Leela Mohana Reddy, Paris Cox, Kaushik Balakrishnan, Dylan Tozier, Peijie Ong, Tharangattu N. Narayanan, Guanhui Gao and Wei Gao. Their work appears in journals such as Particle & Particle Systems Characterization, The Journal of Physical Chemistry C, Nanotechnology, Scientific Reports and Nano Letters.

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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