Debanjan Jana

728 citations
18 papers · 612 indexed · h-index 13
Topics
Advanced Memory and Neural Computing (18 papers)Ferroelectric and Negative Capacitance Devices (15 papers)Semiconductor materials and devices (5 papers)
Partner nations
TaiwanIndia

In The Last Decade

Debanjan Jana

18 papers receiving 600 citations

Peers

Debanjan Jana
Comparison fields: 5 of 31
  • Electrical and Electronic Engineering 587
  • Cellular and Molecular Neuroscience 177
  • Polymers and Plastics 174
  • Materials Chemistry 172
  • Electronic, Optical and Magnetic Materials 20
Replace S. Z. Rahaman with:
S. Z. Rahaman Taiwan
Wei-Su Chen Taiwan
Runchen Fang United States
Chih-Hung Pan Taiwan
Qingyun Zuo China
Mrinmoy Dutta Taiwan
C. Mannequin France
M.Y. Nadeem Pakistan
Jingting Yang China
M. Park United States
Debanjan Jana relative to S. Z. Rahaman Taiwan S. Z. Rahaman's profile →
Citations per field
00.5×1.5×
S. Z. Rahaman · 1×
Citations per year

Countries citing papers authored by Debanjan Jana

Since Specialization
Citations

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

Fields of papers citing papers by Debanjan Jana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debanjan Jana

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 18
2 31
3 51
4 22
5 11
6 66
7 31
8 20
9 41
10 24
11 11
12 34
13 2
14 23
15 24
16 182
17 12
18 9

About Debanjan Jana

Debanjan Jana is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 612 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (18 papers), Ferroelectric and Negative Capacitance Devices (15 papers) and Semiconductor materials and devices (5 papers). The work is most often cited by research in Polymers and Plastics (174 citations), Electrical and Electronic Engineering (587 citations) and Cellular and Molecular Neuroscience (177 citations). Debanjan Jana has collaborated with scholars based in Taiwan and India. Frequent co-authors include S. Maikap, Amit Prakash, Mrinmoy Dutta, Subhranu Samanta, Sourav Roy, Jer‐Ren Yang, Rajat Mahapatra, Hsin-Ming Cheng, S. Z. Rahaman and Hsien‐Chin Chiu. Their work appears in journals such as Applied Physics Letters, Journal of The Electrochemical Society and Applied Surface Science.

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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