F. Klass

780 total citations
13 papers, 439 citations indexed

About

F. Klass is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Biomedical Engineering. According to data from OpenAlex, F. Klass has authored 13 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 6 papers in Hardware and Architecture and 4 papers in Biomedical Engineering. Recurrent topics in F. Klass's work include Low-power high-performance VLSI design (10 papers), Analog and Mixed-Signal Circuit Design (4 papers) and VLSI and Analog Circuit Testing (3 papers). F. Klass is often cited by papers focused on Low-power high-performance VLSI design (10 papers), Analog and Mixed-Signal Circuit Design (4 papers) and VLSI and Analog Circuit Testing (3 papers). F. Klass collaborates with scholars based in United States, Netherlands and Canada. F. Klass's co-authors include W. Liu, Maciej Ciesielski, Wayne Burleson, K. Aingaran, Michael Flynn, Cong Nam Truong, Gin Yee, Anup Das, R. Heald and A.J. van de Goor and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology.

In The Last Decade

F. Klass

12 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. Klass United States	7	386	186	106	97	71	13	439
M. Afghahi Sweden	10	258 0.7×	100 0.5×	91 0.9×	53 0.5×	39 0.5×	17	315
W. Paul Griffin United States	5	379 1.0×	140 0.8×	111 1.0×	21 0.2×	51 0.7×	6	405
Nikola Nedovic United States	18	717 1.9×	234 1.3×	134 1.3×	82 0.8×	77 1.1×	39	761
J.L. Burns United States	13	512 1.3×	238 1.3×	70 0.7×	85 0.9×	35 0.5×	28	552
Ivan S. Kourtev United States	10	450 1.2×	350 1.9×	47 0.4×	119 1.2×	44 0.6×	36	521
G. Gerosa United States	8	428 1.1×	199 1.1×	107 1.0×	75 0.8×	25 0.4×	17	496
Kahng United States	6	309 0.8×	151 0.8×	53 0.5×	36 0.4×	51 0.7×	9	355
M. Immediato United States	10	287 0.7×	135 0.7×	57 0.5×	55 0.6×	20 0.3×	18	328
J.L. Sonntag United States	11	391 1.0×	53 0.3×	144 1.4×	62 0.6×	33 0.5×	18	419
H.-F.S. Law United States	5	465 1.2×	209 1.1×	104 1.0×	42 0.4×	88 1.2×	5	509

Countries citing papers authored by F. Klass

Since Specialization

Citations

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

Fields of papers citing papers by F. Klass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Klass

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

All Works

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13 of 13 papers shown

1.

Klass, F., et al.. (2009). An on-chip process control monitor for process variability measurements in nanometer technologies. 203–206. 1 indexed citations

2.

Kahng, Andrew B., et al.. (2008). DFM in practice. 898–899. 1 indexed citations

3.

Klass, F., et al.. (2008). An All-Digital On-Chip Process-Control Monitor for Process-Variability Measurements. 408–623. 16 indexed citations

4.

Klass, F., et al.. (2005). Use of CMOS Technology in Wave Pipelining. 4. 303–308.

5.

Yip, P., et al.. (2003). Timing window applications in UltraSPARC-IIIi/spl trade/ microprocessor design. 158–163. 2 indexed citations

6.

Aingaran, K., et al.. (2002). Coupling noise analysis for VLSI and ULSI circuits. 485–489. 16 indexed citations

7.

Klass, F., Michael Flynn, & A.J. van de Goor. (2002). A 16×16-bit static CMOS wave-pipelined multiplier. 4. 143–146. 4 indexed citations

8.

Klass, F.. (2002). Semi-dynamic and dynamic flip-flops with embedded logic. 108–109. 97 indexed citations

9.

Klass, F., Anup Das, K. Aingaran, et al.. (1999). A new family of semidynamic and dynamic flip-flops with embedded logic for high-performance processors. IEEE Journal of Solid-State Circuits. 34(5). 712–716. 107 indexed citations

10.

Burleson, Wayne, Maciej Ciesielski, F. Klass, & W. Liu. (1998). Wave-pipelining: a tutorial and research survey. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 6(3). 464–474. 165 indexed citations

11.

Klass, F., Michael Flynn, & A.J. van de Goor. (1994). Fast multiplication in VLSI using wave pipelining techniques. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 7(3). 233–248. 11 indexed citations

12.

Klass, F. & Michael Flynn. (1993). Comparative Studies of Pipelined Circuits. 17 indexed citations

13.

Klass, F. & Uri Weiser. (1991). Efficient Systolic Array for Matrix Multiplication.. Proceedings of the International Conference on Parallel Processing. 21–25. 2 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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