Spandan Maiti

3.0k citations
65 papers · 2.4k indexed · h-index 24
Topics
Aortic aneurysm repair treatments (10 papers)Aortic Disease and Treatment Approaches (9 papers)Elasticity and Material Modeling (8 papers)

In The Last Decade

Spandan Maiti

64 papers receiving 2.3k citations

Peers

Spandan Maiti
Comparison fields: 5 of 135
  • Biomedical Engineering 664
  • Materials Chemistry 565
  • Mechanical Engineering 530
  • Mechanics of Materials 468
  • Biomaterials 377
Replace Qingping Liu with:
Qingping Liu China
Yongmao Pei China
Lizhi Sun United States
Roberto Ballarini United States
Yoshihiro TOMITA Japan
R. Naghdabadi Iran
Muhammad A. Qidwai United States
Hareesh V. Tippur United States
Xu Song China
E. E. Gdoutos Greece
Spandan Maiti relative to Qingping Liu China Qingping Liu's profile →
Citations per field
00.5×5.1×
Qingping Liu · 1×
Citations per year

Countries citing papers authored by Spandan Maiti

Since Specialization
Citations

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

Fields of papers citing papers by Spandan Maiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Spandan Maiti

This figure shows the co-authorship network connecting the top 25 collaborators of Spandan Maiti. A scholar is included among the top collaborators of Spandan Maiti 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 Spandan Maiti. Spandan Maiti 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 3
2 20
3 6
4 3
5 2
6 8
7 29
8 9
9 14
10 12
11 34
12 2
13 17
14 20
15 305
16 43
17 11
18 10
19 107
20
Fatigue of self-healing polymers: Multiscale analysis and experiments
5

About Spandan Maiti

Spandan Maiti is a scholar working on Nuclear Energy and Engineering, Mechanics of Materials and Rheumatology, having authored 65 papers that have together received 2.4k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (10 papers), Aortic Disease and Treatment Approaches (9 papers) and Elasticity and Material Modeling (8 papers). The work is most often cited by research in Nuclear Energy and Engineering (31 citations), Biomaterials (377 citations) and Mechanics of Materials (468 citations). Spandan Maiti has collaborated with scholars based in United States, India and Finland. Frequent co-authors include Philippe H. Geubelle, Siladitya Pal, Ghatu Subhash, Narayan Chandra Das, Prashant N. Kumta, Eric de Sturler, Michael L. Parks, D. D. Johnson, Da‐Tren Chou and Bernard J. Costello. Their work appears in journals such as Bioinformatics, Journal of Applied Physics and Development.

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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