Sachin Patkar

483 total citations
53 papers, 288 citations indexed

About

Sachin Patkar is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, Sachin Patkar has authored 53 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 16 papers in Computational Theory and Mathematics and 13 papers in Hardware and Architecture. Recurrent topics in Sachin Patkar's 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). Sachin Patkar is often cited by papers focused on Low-power high-performance VLSI design (10 papers), Advanced Memory and Neural Computing (9 papers) and Parallel Computing and Optimization Techniques (9 papers). Sachin Patkar collaborates with scholars based in India, Germany and United Kingdom. Sachin Patkar's 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 and has published in prestigious journals such as IEEE Transactions on Industry Applications, The Journal of Nutritional Biochemistry and Neuroscience Research.

In The Last Decade

Sachin Patkar

47 papers receiving 268 citations

Peers

Sachin Patkar
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
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Citations per field, relative to Sachin Patkar
Sachin Patkar · 1×
Citations per year, relative to Sachin Patkar
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Countries citing papers authored by Sachin Patkar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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