Sayli Jambhulkar

1.1k citations
23 papers · 767 indexed · 1 hit paper · h-index 14
Topics
Additive Manufacturing and 3D Printing Technologies (11 papers)Advanced Sensor and Energy Harvesting Materials (9 papers)3D Printing in Biomedical Research (6 papers)

In The Last Decade

Sayli Jambhulkar

23 papers receiving 745 citations

Hit Papers

3D printing for polymer/particle-based processing: A review2021202620222024202150100150200

Peers

Sayli Jambhulkar
Comparison fields: 5 of 71
  • Biomedical Engineering 432
  • Automotive Engineering 361
  • Mechanical Engineering 200
  • Materials Chemistry 176
  • Electrical and Electronic Engineering 141
Replace Dharneedar Ravichandran with:
Dharneedar Ravichandran United States
Nidhin Divakaran India
Charles B. Sweeney United States
Zhengyi Mao China
Tutu Sebastian Switzerland
Zuying Feng China
Xiaoteng Chen China
Louis Laberge Lebel Canada
Giovanni Postiglione Italy
Erika Fantino Italy
Sayli Jambhulkar relative to Dharneedar Ravichandran United States Dharneedar Ravichandran's profile →
Citations per field
00.5×1.5×
Dharneedar Ravichandran · 1×
Citations per year

Countries citing papers authored by Sayli Jambhulkar

Since Specialization
Citations

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

Fields of papers citing papers by Sayli Jambhulkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayli Jambhulkar

This figure shows the co-authorship network connecting the top 25 collaborators of Sayli Jambhulkar. A scholar is included among the top collaborators of Sayli Jambhulkar 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 Sayli Jambhulkar. Sayli Jambhulkar 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 4
2 6
3 5
4 32
5 12
6 9
7 38
8 10
9 36
10 37
11
3D printing for polymer/particle-based processing: A reviewbreakdown →
226
12 11
13 28
14 27
15 114
16 31
17 13
18 26
19 9
20 22

About Sayli Jambhulkar

Sayli Jambhulkar is a scholar working on Automotive Engineering, Biomedical Engineering and Polymers and Plastics, having authored 23 papers that have together received 767 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (11 papers), Advanced Sensor and Energy Harvesting Materials (9 papers) and 3D Printing in Biomedical Research (6 papers). The work is most often cited by research in Automotive Engineering (361 citations), Biomedical Engineering (432 citations) and Polymers and Plastics (113 citations). Sayli Jambhulkar has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Kenan Song, Dharneedar Ravichandran, Weiheng Xu, Yuxiang Zhu, Guillaume Miquelard‐Garnier, David G. Lott, Orit Shefi, Yang Yang, Brent L. Vernon and Jeffrey L. Cornella. Their work appears in journals such as Nano Letters, ACS Nano and Advanced Functional Materials.

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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