Ambarish Kulkarni
- Computer Networks and Communications top 10%
- Industrial and Manufacturing Engineering top 5%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Jiong JinAshfaqur RahmanAkhlaqur RahmanMahbuba AfrinYu‐Chu TianAjay KapoorShuva PaulShashank Arora
- Topics
- Electric and Hybrid Vehicle Technologies (7 papers)Digital Transformation in Industry (6 papers)IoT and Edge/Fog Computing (6 papers)
- Cited by
- Industrial and Manufacturing EngineeringHealth InformaticsComputer Networks and Communications
- Journals
- IEEE AccessIEEE Transactions on Industrial InformaticsSAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- AustraliaUnited StatesIndia
In The Last Decade
Ambarish Kulkarni
27 papers receiving 385 citations
Peers
Comparison fields: 5 of 88
- Computer Networks and Communications 138
- Industrial and Manufacturing Engineering 87
- Electrical and Electronic Engineering 79
- Mechanical Engineering 72
- Control and Systems Engineering 63
Countries citing papers authored by Ambarish Kulkarni
This map shows the geographic impact of Ambarish Kulkarni'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 Ambarish Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambarish Kulkarni more than expected).
Fields of papers citing papers by Ambarish Kulkarni
This network shows the impact of papers produced by Ambarish Kulkarni. 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 Ambarish Kulkarni. The network helps show where Ambarish Kulkarni may publish in the future.
Co-authorship network of co-authors of Ambarish Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of Ambarish Kulkarni. A scholar is included among the top collaborators of Ambarish Kulkarni 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 Ambarish Kulkarni. Ambarish Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 25 | |
| 11 | 8 | |
| 12 | 15 | |
| 13 | 3D Construction Printing – A Review with Contemporary Method of Decarbonisation and Cost Benefit Analysis | 3 |
| 14 | 48 | |
| 15 | 24 | |
| 16 | Finite element prediction of the stress state of a rail underhead radius under high axle load conditions | 2 |
| 17 | 18 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 14 |
About Ambarish Kulkarni
Ambarish Kulkarni is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Occupational Therapy, having authored 30 papers that have together received 404 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (7 papers), Digital Transformation in Industry (6 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (87 citations), Health Informatics (10 citations) and Computer Networks and Communications (138 citations). Ambarish Kulkarni has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Jiong Jin, Ashfaqur Rahman, Akhlaqur Rahman, Mahbuba Afrin, Yu‐Chu Tian, Ajay Kapoor, Shuva Paul, Shashank Arora, Andrea Gasparri and Guoxing Lu. Their work appears in journals such as IEEE Access, IEEE Transactions on Industrial Informatics and SAE technical papers on CD-ROM/SAE technical paper series.
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.