Sayli Jambhulkar
- Automotive Engineering top 2%
- Additive Manufacturing and 3D Printing Technologies 11
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials 9
- 3D Printing in Biomedical Research 6
- Polymers and Plastics top 10%
- Mechanical Engineering top 10%
- Advanced Materials and Mechanics 3
- Fiber-reinforced polymer composites 2
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- Nanomaterials and Printing Technologies 5
- Gas Sensing Nanomaterials and Sensors 2
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- Graphene research and applications 2
- Co-authors
- Kenan SongDharneedar RavichandranWeiheng XuYuxiang ZhuGuillaume Miquelard‐GarnierDavid G. LottOrit ShefiYang Yang
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Sayli Jambhulkar
23 papers receiving 745 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Automotive Engineering 361
- Biomedical Engineering 432
- Polymers and Plastics 113
- Mechanical Engineering 200
- Biomaterials 69
Countries citing papers authored by Sayli Jambhulkar
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
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
The 25 scholars most cited alongside Sayli Jambhulkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 32 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 38 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 36 | |
| 10 | 2021 | 37 | |
| 11 | 3D printing for polymer/particle-based processing: A reviewbreakdown → | 2021 | 226 |
| 12 | 2021 | 11 | |
| 13 | 2021 | 28 | |
| 14 | 2021 | 27 | |
| 15 | 2021 | 114 | |
| 16 | 2021 | 31 | |
| 17 | 2020 | 13 | |
| 18 | 2020 | 26 | |
| 19 | 2019 | 9 | |
| 20 | 2019 | 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), 3D Printing in Biomedical Research (6 papers), Nanomaterials and Printing Technologies (5 papers), Advanced Materials and Mechanics (3 papers), Graphene research and applications (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Fiber-reinforced polymer composites (2 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.