Mohit Rameshchandra Kulkarni

1.7k citations
18 papers · 1.4k indexed · 1 hit paper · h-index 14

Mohit Rameshchandra Kulkarni

18 papers receiving 1.4k citations

Hit Papers

Synergistic Gating of Electro‐Iono‐Photoactive 2D Chalcog...3072018202620202023100200300

Peers

Mohit Rameshchandra Kulkarni
Comparison fields: 5 of 58
  • Polymers and Plastics 433
  • Cellular and Molecular Neuroscience 498
  • Electrical and Electronic Engineering 1.1k
  • Cognitive Neuroscience 207
  • Biomedical Engineering 402
Replace Rengjian Yu with:
Rengjian Yu China
Hong Han China
Xiumei Wang China
Yao Ni China
Youhui Chen China
Gyeong‐Tak Go South Korea
Joon‐Kyu Han South Korea
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Liqiang Zhu China
Mohit Rameshchandra Kulkarni relative to Rengjian Yu China Rengjian Yu's profile →
Citations per field
00.5×10×20×34.2×
Rengjian Yu · 1×
Citations per year

Countries citing papers authored by Mohit Rameshchandra Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Rameshchandra Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohit Rameshchandra Kulkarni. 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 Mohit Rameshchandra Kulkarni. The network helps show where Mohit Rameshchandra Kulkarni may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20244
2 2021142
3 20214
4 202154
5 202095
6 202049
7 202095
8 20203
9 202074
10 201913
11 201924
12 201880
13
Synergistic Gating of Electro‐Iono‐Photoactive 2D Chalcogenide Neuristors: Coexistence of Hebbian and Homeostatic Synaptic Metaplasticitybreakdown →
2018307
14 2018196
15 201846
16 201753
17 201746
18 2017165

About Mohit Rameshchandra Kulkarni

Mohit Rameshchandra Kulkarni is a scholar working on Cognitive Neuroscience, Polymers and Plastics and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Tactile and Sensory Interactions (4 papers), Thin-Film Transistor Technologies (3 papers), Photoreceptor and optogenetics research (3 papers), Dielectric materials and actuators (3 papers), Semiconductor materials and devices (3 papers) and Transition Metal Oxide Nanomaterials (3 papers). The work is most often cited by research in Polymers and Plastics (433 citations), Cellular and Molecular Neuroscience (498 citations) and Electrical and Electronic Engineering (1.1k citations). Mohit Rameshchandra Kulkarni has collaborated with scholars based in Singapore, China and Italy. Frequent co-authors include Nripan Mathews, Rohit Abraham John, Arindam Basu, Ankit Ankit, Naveen Tiwari, Anh Chien Nguyen, Natalia Yantara, Amoolya Nirmal, Chao Zhu and Zheng Liu. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

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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