Sandeep Patil
- Industrial and Manufacturing Engineering top 1%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Valeriy VyatkinB. RaviVictor DubininCheng PangGulnara ZhabelovaNalini C. IyerBart van AremHaneen Farah
- Topics
- Flexible and Reconfigurable Manufacturing Systems (38 papers)Petri Nets in System Modeling (15 papers)Manufacturing Process and Optimization (14 papers)
In The Last Decade
Sandeep Patil
52 papers receiving 519 citations
Peers
Comparison fields: 5 of 88
- Industrial and Manufacturing Engineering 317
- Computational Theory and Mathematics 161
- Control and Systems Engineering 82
- Computer Vision and Pattern Recognition 57
- Safety, Risk, Reliability and Quality 50
Countries citing papers authored by Sandeep Patil
This map shows the geographic impact of Sandeep Patil'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 Sandeep Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Patil more than expected).
Fields of papers citing papers by Sandeep Patil
This network shows the impact of papers produced by Sandeep Patil. 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 Sandeep Patil. The network helps show where Sandeep Patil may publish in the future.
Co-authorship network of co-authors of Sandeep Patil
This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Patil. A scholar is included among the top collaborators of Sandeep Patil 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 Sandeep Patil. Sandeep Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 28 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 16 | |
| 13 | Neutralizing Semantic Ambiguities of Function Block Architecture by Modeling with ASM | 2 |
| 14 | 15 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | Voxel-Based Thickness Analysis of Intricate Objects | 10 |
| 20 | Profile of farm women and its influence on knowledge gain and retention through communication methods | 2 |
About Sandeep Patil
Sandeep Patil is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Hardware and Architecture, having authored 56 papers that have together received 531 indexed citations. Recurring topics across this work include Flexible and Reconfigurable Manufacturing Systems (38 papers), Petri Nets in System Modeling (15 papers) and Manufacturing Process and Optimization (14 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (317 citations), Computational Theory and Mathematics (161 citations) and Software (29 citations). Sandeep Patil has collaborated with scholars based in Sweden, Finland and Russia. Frequent co-authors include Valeriy Vyatkin, B. Ravi, Victor Dubinin, Cheng Pang, Valeriy Vyatkin, Gulnara Zhabelova, Nalini C. Iyer, Bart van Arem, Haneen Farah and Roopak Sinha. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Computer-Aided Civil and Infrastructure Engineering and interactions.
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.