Chandreswar Mahata

4.2k citations
106 papers · 3.2k indexed · 1 hit paper · h-index 33
Topics
Advanced Memory and Neural Computing (75 papers)Ferroelectric and Negative Capacitance Devices (42 papers)Neuroscience and Neural Engineering (38 papers)

In The Last Decade

Chandreswar Mahata

105 papers receiving 3.1k citations

Hit Papers

Wafer-scale integration of two-dimensional materials in h...20202026202220242020100200300

Peers

Chandreswar Mahata
Comparison fields: 5 of 86
  • Electrical and Electronic Engineering 2.7k
  • Cellular and Molecular Neuroscience 1.1k
  • Materials Chemistry 645
  • Polymers and Plastics 552
  • Cognitive Neuroscience 395
Replace Kumar Virwani with:
Kumar Virwani United States
Rohit Abraham John Singapore
Heming Huang France
Mohit Kumar South Korea
Yi Ren China
Changhwan Choi South Korea
Ping Feng China
Chun Zhao China
Zhanpeng Wang China
Hussein Nili United States
Chandreswar Mahata relative to Kumar Virwani United States Kumar Virwani's profile →
Citations per field
00.5×3.1×
Kumar Virwani · 1×
Citations per year

Countries citing papers authored by Chandreswar Mahata

Since Specialization
Citations

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

Fields of papers citing papers by Chandreswar Mahata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandreswar Mahata

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 10
4 12
5 11
6 12
7 4
8 35
9 21
10 16
11 10
12 1
13 27
14 17
15 66
16 54
17 68
18 15
19 21
20 21

About Chandreswar Mahata

Chandreswar Mahata is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Polymers and Plastics, having authored 106 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (75 papers), Ferroelectric and Negative Capacitance Devices (42 papers) and Neuroscience and Neural Engineering (38 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Electrical and Electronic Engineering (2.7k citations) and Polymers and Plastics (552 citations). Chandreswar Mahata has collaborated with scholars based in South Korea, Pakistan and Singapore. Frequent co-authors include Sungjun Kim, Muhammad Ismail, Myounggon Kang, Taeyoon Lee, Jiho Ryu, Hassan Algadi, Jaehong Lee, Fayyaz Hussain, Changhwan Choi and Shaochuan Chen. Their work appears in journals such as Advanced Materials, The Journal of Chemical Physics and Applied Physics 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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