Sachin Patkar
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Co-authors
- Siddharth JoshiVinay KumarSatoru FujishigeSomnath MondalFiona J. DowellTracy D. FarrH CarswellFarhad Merchant
- Topics
- Low-power high-performance VLSI design (10 papers)Advanced Memory and Neural Computing (9 papers)Parallel Computing and Optimization Techniques (9 papers)
- Cited by
- Hardware and ArchitectureComputational Theory and MathematicsComputer Networks and Communications
- Journals
- IEEE Transactions on Industry ApplicationsThe Journal of Nutritional BiochemistryNeuroscience Research
- Partner nations
- IndiaGermanyUnited Kingdom
In The Last Decade
Sachin Patkar
47 papers receiving 268 citations
Peers
Comparison fields: 5 of 67
- Electrical and Electronic Engineering 113
- Hardware and Architecture 93
- Computer Networks and Communications 73
- Computational Theory and Mathematics 69
- Artificial Intelligence 47
Countries citing papers authored by Sachin Patkar
This map shows the geographic impact of Sachin Patkar'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 Sachin Patkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachin Patkar more than expected).
Fields of papers citing papers by Sachin Patkar
This network shows the impact of papers produced by Sachin Patkar. 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 Sachin Patkar. The network helps show where Sachin Patkar may publish in the future.
Co-authorship network of co-authors of Sachin Patkar
This figure shows the co-authorship network connecting the top 25 collaborators of Sachin Patkar. A scholar is included among the top collaborators of Sachin Patkar 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 Sachin Patkar. Sachin Patkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 27 | |
| 12 | 1 | |
| 13 | Large Scale VLSI Circuit Simulation Using Point Relaxation. | 1 |
| 14 | 20 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 10 |
About Sachin Patkar
Sachin Patkar is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Media Technology, having authored 53 papers that have together received 288 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (10 papers), Advanced Memory and Neural Computing (9 papers) and Parallel Computing and Optimization Techniques (9 papers). The work is most often cited by research in Hardware and Architecture (93 citations), Computational Theory and Mathematics (69 citations) and Computer Networks and Communications (73 citations). Sachin Patkar has collaborated with scholars based in India, Germany and United Kingdom. Frequent co-authors include Siddharth Joshi, Vinay Kumar, Satoru Fujishige, Somnath Mondal, Fiona J. Dowell, Tracy D. Farr, H Carswell, Farhad Merchant, Mukul C. Chandorkar and Madhav P. Desai. Their work appears in journals such as IEEE Transactions on Industry Applications, The Journal of Nutritional Biochemistry and Neuroscience Research.
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.