V. Narayanan

896 total citations
12 papers, 689 citations indexed

About

V. Narayanan is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, V. Narayanan has authored 12 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 5 papers in Hardware and Architecture and 3 papers in Computer Networks and Communications. Recurrent topics in V. Narayanan's work include VLSI and FPGA Design Techniques (6 papers), Low-power high-performance VLSI design (5 papers) and VLSI and Analog Circuit Testing (4 papers). V. Narayanan is often cited by papers focused on VLSI and FPGA Design Techniques (6 papers), Low-power high-performance VLSI design (5 papers) and VLSI and Analog Circuit Testing (4 papers). V. Narayanan collaborates with scholars based in United States and Serbia. V. Narayanan's co-authors include Kenneth L. Shepard, Gutuan Zheng, B.A. Chappell, Bruce Fleischer, V. Pitchumani, Tapan K. Sarkar and A.R. Djordjević and has published in prestigious journals such as IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Journal of Electronic Testing.

In The Last Decade

V. Narayanan

12 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Narayanan United States	8	657	357	114	77	20	12	689
Randy Mooney United States	20	1.1k 1.6×	252 0.7×	231 2.0×	102 1.3×	9 0.5×	31	1.1k
D. Vázquez Spain	14	497 0.8×	400 1.1×	241 2.1×	29 0.4×	9 0.5×	57	540
Chandramouli Kashyap United States	17	940 1.4×	626 1.8×	74 0.6×	53 0.7×	5 0.3×	38	982
A. Devgan United States	15	633 1.0×	382 1.1×	51 0.4×	104 1.4×	2 0.1×	26	677
J.-F. Naviner France	11	337 0.5×	159 0.4×	118 1.0×	30 0.4×	11 0.6×	55	377
J. Tierno United States	15	421 0.6×	125 0.4×	85 0.7×	51 0.7×	30 1.5×	27	462
N. Nagi United States	14	532 0.8×	519 1.5×	115 1.0×	25 0.3×	2 0.1×	22	569
M.K. Gowan United States	7	472 0.7×	367 1.0×	36 0.3×	186 2.4×	8 0.4×	9	597
Chung-Kuan Cheng United States	12	504 0.8×	247 0.7×	20 0.2×	125 1.6×	3 0.1×	32	552
Kahng United States	6	309 0.5×	151 0.4×	53 0.5×	36 0.5×	19 0.9×	9	355

Countries citing papers authored by V. Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by V. Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of V. Narayanan. A scholar is included among the top collaborators of V. Narayanan 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 V. Narayanan. V. Narayanan 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:

12 of 12 papers shown

1.

Narayanan, V. & V. Pitchumani. (2003). A parallel algorithm for fault simulation on the Connection Machine. 3. 89–93. 1 indexed citations

2.

Shepard, Kenneth L. & V. Narayanan. (2002). Noise in deep submicron digital design. 524–531. 171 indexed citations

3.

Narayanan, V., B.A. Chappell, & Bruce Fleischer. (2002). Static timing analysis for self resetting circuits. 119–126. 12 indexed citations

4.

Shepard, Kenneth L., et al.. (1999). Harmony: static noise analysis of deep submicron digital integrated circuits. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 18(8). 1132–1150. 86 indexed citations

5.

Shepard, Kenneth L. & V. Narayanan. (1998). Conquering noise in deep-submicron digital ICs. IEEE Design & Test of Computers. 15(1). 51–62. 58 indexed citations

6.

Shepard, Kenneth L., et al.. (1997). Global harmony: coupled noise analysis for full-chip RC interconnect networks. 139–146. 75 indexed citations

7.

Narayanan, V., B.A. Chappell, & Bruce Fleischer. (1996). Static timing analysis for self resetting circuits. 119–126. 28 indexed citations

8.

Shepard, Kenneth L. & V. Narayanan. (1996). Noise in deep submicron digital design. 524–531. 227 indexed citations

9.

Narayanan, V. & V. Pitchumani. (1992). Fault simulation on massively parallel SIMD machines algorithms, implementations and results. Journal of Electronic Testing. 3(1). 79–92. 20 indexed citations

10.

Sarkar, Tapan K., et al.. (1990). Finite difference frequency-domain treatment of open transmission structures. IEEE Transactions on Microwave Theory and Techniques. 38(11). 1609–1616. 5 indexed citations

11.

Narayanan, V. & V. Pitchumani. (1989). A massively parallel algorithm for fault simulation on the connection machine. 734–737. 5 indexed citations

12.

Narayanan, V.. (1989). New algorithms for fault simulation and random pattern-testing. 1 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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