Shampa Aich

92 total papers · 1.2k total citations
67 papers, 929 citations indexed

About

Shampa Aich is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Shampa Aich has authored 67 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Materials Chemistry, 23 papers in Electronic, Optical and Magnetic Materials and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Shampa Aich's work include Magnetic Properties of Alloys (17 papers), Metal and Thin Film Mechanics (15 papers) and Shape Memory Alloy Transformations (14 papers). Shampa Aich is often cited by papers focused on Magnetic Properties of Alloys (17 papers), Metal and Thin Film Mechanics (15 papers) and Shape Memory Alloy Transformations (14 papers). Shampa Aich collaborates with scholars based in India, United States and Oman. Shampa Aich's co-authors include M. Sai Bhargava Reddy, Banasri Roy, K.S. Ravi Chandran, Sudipto Ghosh, Bhupendra Singh, Jeffrey E. Shield, B. Geetha Priyadarshini, Kishor Kumar Sadasivuni, Saraswathi Kailasa and Ajit Behera and has published in prestigious journals such as Journal of Applied Physics, Journal of The Electrochemical Society and Journal of Power Sources.

In The Last Decade

Shampa Aich

64 papers receiving 897 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shampa Aich 589 266 246 216 145 67 929
Stefan Wagner 830 1.4× 309 1.2× 234 1.0× 179 0.8× 100 0.7× 75 1.2k
Miaogen Chen 507 0.9× 176 0.7× 425 1.7× 196 0.9× 126 0.9× 89 1.0k
Masamitsu Nagano 670 1.1× 226 0.8× 324 1.3× 126 0.6× 182 1.3× 84 967
A. T. Kozakov 669 1.1× 436 1.6× 203 0.8× 227 1.1× 210 1.4× 108 1.0k
Ramanathaswamy Pandian 589 1.0× 199 0.7× 359 1.5× 224 1.0× 226 1.6× 53 910
Huaping Sheng 468 0.8× 174 0.7× 423 1.7× 253 1.2× 121 0.8× 47 996
Valérie Demange 857 1.5× 186 0.7× 307 1.2× 145 0.7× 120 0.8× 81 1.1k
Sergey Yarmolenko 678 1.2× 277 1.0× 162 0.7× 276 1.3× 178 1.2× 68 1.1k
S. Kalavathi 513 0.9× 166 0.6× 208 0.8× 141 0.7× 122 0.8× 85 825
Naidu V. Seetala 626 1.1× 141 0.5× 151 0.6× 437 2.0× 93 0.6× 58 1.0k

Countries citing papers authored by Shampa Aich

Since Specialization
Citations

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

Fields of papers citing papers by Shampa Aich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shampa Aich

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026