K.R. Laker

1.6k citations
59 papers · 1.1k · h-index 18

Impact in

Papers in

K.R. Laker

57 papers receiving 1.0k citations

Peers

K.R. Laker
Comparison fields: 5 of 56
  • Signal Processing 183
  • Biomedical Engineering 729
  • Hardware and Architecture 95
  • Electrical and Electronic Engineering 790
  • Computational Mechanics 152
Replace R. Schaumann with:
R. Schaumann United States
M. Ghausi United States
Ieee Circuits
J.M. Khoury United States
Wu‐Shiung Feng Taiwan
A. Carlosena Spain
R. Gregorian United States
Sayfe Kiaei United States
M. Banu United States
K. Martin Canada
K.R. Laker relative to R. Schaumann United States R. Schaumann's profile →
Citations per field
00.5×1.5×
R. Schaumann · 1×
Citations per year

Countries citing papers authored by K.R. Laker

Since Specialization
Citations

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

Fields of papers citing papers by K.R. Laker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.R. Laker. 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 K.R. Laker. The network helps show where K.R. Laker may publish in the future.

Co-authors

The 22 scholars most cited alongside K.R. Laker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K.R. Laker Line = papers co-authored together K.R. Laker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Design of analog filters : passive, active RC, and switched capacitor
1990253
2 1979194
3 199759
4 197445
5 197942
6 199139
7 197938
8 198134
9 197926
10 198525
11 200324
12 198224
13 197422
14 197821
15 199220
16 197619
17
Modern Active Filter Design
198118
18 197517
19 198017
20 197616

About K.R. Laker

K.R. Laker is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing and Computational Mechanics, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acoustic Wave Resonator Technologies (17 papers), Analog and Mixed-Signal Circuit Design (13 papers), Advanced Adaptive Filtering Techniques (9 papers), Sensor Technology and Measurement Systems (8 papers), Neural Networks and Applications (6 papers), Mechanical and Optical Resonators (6 papers), Blind Source Separation Techniques (5 papers) and Radio Frequency Integrated Circuit Design (4 papers). The work is most often cited by research in Signal Processing (183 citations), Biomedical Engineering (729 citations), Hardware and Architecture (95 citations), Electrical and Electronic Engineering (790 citations) and Computational Mechanics (152 citations). K.R. Laker has collaborated with scholars based in United States, Türkiye and Japan. Frequent co-authors include M. Ghausi, P.E. Fleischer, R. Schaumann, Thomas L. Szabo, S.A. Kassam, Vijitha Weerackody, A.J. Slobodnik, Edward A. K. Cohen, T.R. Viswanathan and D. Bhattacharya. Their work appears in journals such as Electronics Letters, Proceedings of the IEEE, Journal of the Franklin Institute, International Journal of Circuit Theory and Applications and IEEE Transactions on Education.

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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