A. Agarwal

692 total citations
9 papers, 539 citations indexed

About

A. Agarwal is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, A. Agarwal has authored 9 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hardware and Architecture, 8 papers in Electrical and Electronic Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in A. Agarwal's work include Low-power high-performance VLSI design (8 papers), VLSI and Analog Circuit Testing (8 papers) and VLSI and FPGA Design Techniques (7 papers). A. Agarwal is often cited by papers focused on Low-power high-performance VLSI design (8 papers), VLSI and Analog Circuit Testing (8 papers) and VLSI and FPGA Design Techniques (7 papers). A. Agarwal collaborates with scholars based in United States. A. Agarwal's co-authors include David Blaauw, V. Zolotov, Kaviraj Chopra, Kaushik Gala, David Blaauw, Min Zhao, Savithri Sundareswaran, Rajesh Panda, Sarma Vrudhula and Maria Hybinette and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Design, Automation, and Test in Europe and 2003 Design, Automation and Test in Europe Conference and Exhibition.

In The Last Decade

A. Agarwal

9 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Agarwal United States	8	508	382	34	28	14	9	539
Aseem Agarwal United States	11	797 1.6×	618 1.6×	46 1.4×	47 1.7×	22 1.6×	13	828
Lerong Cheng United States	11	301 0.6×	236 0.6×	15 0.4×	35 1.3×	7 0.5×	31	338
Liang-Teck Pang United States	10	431 0.8×	165 0.4×	18 0.5×	50 1.8×	8 0.6×	16	445
Ashish Srivastava United States	5	339 0.7×	185 0.5×	27 0.8×	24 0.9×	7 0.5×	12	381
G.A. Allan United Kingdom	10	260 0.5×	224 0.6×	23 0.7×	9 0.3×	14 1.0×	32	298
Angela Krstić United States	10	677 1.3×	626 1.6×	20 0.6×	20 0.7×	27 1.9×	14	704
Kunhyuk Kang United States	19	1.2k 2.4×	219 0.6×	40 1.2×	24 0.9×	7 0.5×	32	1.2k
Gustavo Wilke Brazil	10	337 0.7×	192 0.5×	61 1.8×	17 0.6×	15 1.1×	26	352
G. Gronthoud Netherlands	12	447 0.9×	429 1.1×	11 0.3×	17 0.6×	4 0.3×	26	470
Stephen T. Quay United States	14	619 1.2×	417 1.1×	169 5.0×	20 0.7×	14 1.0×	22	650

Countries citing papers authored by A. Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by A. Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of A. Agarwal. A scholar is included among the top collaborators of A. Agarwal 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 A. Agarwal. A. Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Agarwal, A. & Maria Hybinette. (2005). Merging Parallel Simulation Programs. 22. 227–233. 6 indexed citations

2.

Agarwal, A., Kaviraj Chopra, & David Blaauw. (2005). Statistical Timing Based Optimization using Gate Sizing. Design, Automation, and Test in Europe. 400–405. 33 indexed citations

3.

Agarwal, A., V. Zolotov, & David Blaauw. (2004). Statistical Clock Skew Analysis Considering Intradie-Process Variations. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 23(8). 1231–1242. 23 indexed citations

4.

Agarwal, A., et al.. (2004). Computation and refinement of statistical bounds on circuit delay. 348–353. 29 indexed citations

5.

Agarwal, A., V. Zolotov, & David Blaauw. (2003). Statistical timing analysis using bounds and selective enumeration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 22(9). 1243–1260. 119 indexed citations

6.

Agarwal, A., David Blaauw, V. Zolotov, & Sarma Vrudhula. (2003). Statistical timing analysis using bounds [IC verification]. 2003 Design, Automation and Test in Europe Conference and Exhibition. 62–67. 18 indexed citations

7.

Agarwal, A., David Blaauw, V. Zolotov, et al.. (2003). Statistical delay computation considering spatial correlations. 271–276. 52 indexed citations

8.

Agarwal, A., David Blaauw, & V. Zolotov. (2003). Statistical timing analysis for intra-die process variations with spatial correlations. 900–907. 249 indexed citations

9.

Agarwal, A., David Blaauw, & V. Zolotov. (2003). Statistical clock skew analysis considering intra-die process variations. 1. 914–921. 10 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.

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