Amith Singhee

1.1k total citations
38 papers, 795 citations indexed

About

Amith Singhee is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Statistics, Probability and Uncertainty. According to data from OpenAlex, Amith Singhee has authored 38 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 10 papers in Hardware and Architecture and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Amith Singhee's work include Low-power high-performance VLSI design (13 papers), VLSI and Analog Circuit Testing (10 papers) and Probabilistic and Robust Engineering Design (9 papers). Amith Singhee is often cited by papers focused on Low-power high-performance VLSI design (13 papers), VLSI and Analog Circuit Testing (10 papers) and Probabilistic and Robust Engineering Design (9 papers). Amith Singhee collaborates with scholars based in United States, India and Japan. Amith Singhee's co-authors include Rob A. Rutenbar, Junling Wang, Benton H. Calhoun, Hongzhou Liu, Haijing Wang, Doug L. James, Saibal Mukhopadhyay, Deva P. Seetharam, Erdem Acar and Jagabondhu Hazra and has published in prestigious journals such as IEEE Transactions on Electron Devices, IBM Journal of Research and Development and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Amith Singhee

36 papers receiving 767 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amith Singhee United States 15 641 354 125 63 45 38 795
Wai-Shing Luk China 8 168 0.3× 79 0.2× 32 0.3× 42 0.7× 34 0.8× 31 420
Andrew R. Conn United States 9 164 0.3× 82 0.2× 21 0.2× 160 2.5× 32 0.7× 13 475
M. Malhotra United States 9 100 0.2× 50 0.1× 104 0.8× 157 2.5× 23 0.5× 12 487
F.L. Alvarado United States 16 898 1.4× 29 0.1× 41 0.3× 88 1.4× 17 0.4× 25 1.0k
Joey Huchette United States 7 102 0.2× 65 0.2× 11 0.1× 31 0.5× 73 1.6× 16 388
L.M. Vidigal United States 5 131 0.2× 35 0.1× 32 0.3× 60 1.0× 9 0.2× 12 283
Steve Yang United States 9 286 0.4× 55 0.2× 14 0.1× 29 0.5× 58 1.3× 12 442
Kenneth P. Parker United States 14 906 1.4× 799 2.3× 15 0.1× 94 1.5× 56 1.2× 42 1.1k
Xingfu Wu United States 15 88 0.1× 432 1.2× 32 0.3× 18 0.3× 55 1.2× 68 689
Alexander Flueck United States 18 1.4k 2.1× 23 0.1× 12 0.1× 59 0.9× 32 0.7× 54 1.5k

Countries citing papers authored by Amith Singhee

Since Specialization
Citations

This map shows the geographic impact of Amith Singhee'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 Amith Singhee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amith Singhee more than expected).

Fields of papers citing papers by Amith Singhee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amith Singhee. 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 Amith Singhee. The network helps show where Amith Singhee may publish in the future.

Co-authorship network of co-authors of Amith Singhee

This figure shows the co-authorship network connecting the top 25 collaborators of Amith Singhee. A scholar is included among the top collaborators of Amith Singhee 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 Amith Singhee. Amith Singhee 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
1.
Saravanan, K., et al.. (2022). Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization. 250–254. 2 indexed citations
2.
Sinha, Raunak, et al.. (2021). Monolith to Microservice Candidates using Business Functionality Inference. 14 indexed citations
3.
Singhee, Amith & Haijing Wang. (2017). Probabilistic forecasts of service outage counts from severe weather in a distribution grid. 1–5. 8 indexed citations
4.
Treinish, Lloyd A., et al.. (2016). Enabling coupled models to predict the business impact of weather on electric utilities. IBM Journal of Research and Development. 60(1). 5:1–5:10. 3 indexed citations
5.
Singhee, Amith, et al.. (2016). OPRO: Precise emergency preparedness for electric utilities. IBM Journal of Research and Development. 60(1). 6:1–6:15. 6 indexed citations
6.
Singhee, Amith, et al.. (2015). Spatio-temporal forecasting of weather-driven damage in a distribution system. 1–5. 8 indexed citations
7.
Trivedi, Amit Ranjan, Takashi Ando, Amith Singhee, et al.. (2014). A Simulation Study of Oxygen Vacancy-Induced Variability in ${\rm HfO}_{2}$ /Metal Gated SOI FinFET. IEEE Transactions on Electron Devices. 61(5). 1262–1269. 19 indexed citations
8.
Zhang, Wangyang, et al.. (2012). A dynamic method for efficient random mismatch characterization of standard cells. 180–186. 3 indexed citations
9.
Singhee, Amith. (2011). PTrace: derivative-free local tracing of bicriterial design tradeoffs. International Conference on Computer Aided Design. 498–502. 1 indexed citations
10.
Bansal, Aditya, Amith Singhee, Erdem Acar, & G. Costrini. (2011). Electrical monitoring of gate and active area mask misalignment error. 220–221.
11.
Singhee, Amith & Rob A. Rutenbar. (2010). Why Quasi-Monte Carlo is Better Than Monte Carlo or Latin Hypercube Sampling for Statistical Circuit Analysis. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 29(11). 1763–1776. 130 indexed citations
12.
Singhee, Amith & Rob A. Rutenbar. (2009). Statistical Blockade: Very Fast Statistical Simulation and Modeling of Rare Circuit Events and Its Application to Memory Design. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 28(8). 1176–1189. 112 indexed citations
13.
Singhee, Amith & Rob A. Rutenbar. (2009). Novel Algorithms for Fast Statistical Analysis of Scaled Circuits. Lecture notes in electrical engineering. 20 indexed citations
14.
Singhee, Amith, Junling Wang, Benton H. Calhoun, & Rob A. Rutenbar. (2008). Recursive Statistical Blockade: An Enhanced Technique for Rare Event Simulation with Application to SRAM Circuit Design. 131–136. 44 indexed citations
15.
Singhee, Amith, et al.. (2008). Probabilistic Interval-Valued Computation: Toward a Practical Surrogate for Statistics Inside CAD Tools. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 27(12). 2317–2330. 4 indexed citations
16.
Singhee, Amith & Rob A. Rutenbar. (2007). Statistical blockade: a novel method for very fast Monte Carlo simulation of rare circuit events, and its application. Design, Automation, and Test in Europe. 1379–1384. 78 indexed citations
18.
Singhee, Amith & Rob A. Rutenbar. (2007). Beyond low-order statistical response surfaces. Proceedings - ACM IEEE Design Automation Conference. 256–256. 29 indexed citations
19.
Singhee, Amith, et al.. (2006). Probabilistic interval-valued computation: toward a practical surrogate for statistics inside CAD tools. Proceedings - ACM IEEE Design Automation Conference. 1 indexed citations
20.
Singhee, Amith, et al.. (2006). Probabilistic interval-valued computation. 167–167. 11 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026