Earl E. Swartzlander

271 papers receiving 4.9k citations

Peers

Earl E. Swartzlander
Comparison fields: 5 of 118
  • Hardware and Architecture 1.4k
  • Computational Theory and Mathematics 2.6k
  • Signal Processing 1.2k
  • Electrical and Electronic Engineering 3.7k
  • Computer Vision and Pattern Recognition 449
Replace G.A. Jullien with:
G.A. Jullien Canada
Weiqiang Liu China
N. Ranganathan United States
Kung United States
Igor L. Markov United States
Naresh R. Shanbhag United States
Peter M. Kogge United States
George A. Constantinides United Kingdom
Borivoje Nikolić United States
Franz Franchetti United States
Earl E. Swartzlander relative to G.A. Jullien Canada G.A. Jullien's profile →
Citations per field
00.5×2.7×
G.A. Jullien · 1×
Citations per year

Countries citing papers authored by Earl E. Swartzlander

Since Specialization
Citations

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

Fields of papers citing papers by Earl E. Swartzlander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Earl E. Swartzlander. 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 Earl E. Swartzlander. The network helps show where Earl E. Swartzlander may publish in the future.

Co-authors

The 25 scholars most cited alongside Earl E. Swartzlander, 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 Earl E. Swartzlander Line = papers co-authored together Earl E. Swartzlander links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 292 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975201
2 2014193
3 1973192
4 1973178
5 2002151
6 1992132
7
Systolic Array Processors
1989126
8 2010120
9 1973111
10 200299
11 198498
12 201296
13 199494
14 201673
15 201071
16 201870
17 201168
18 197366
19 200362
20 200761

About Earl E. Swartzlander

Earl E. Swartzlander is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Signal Processing, Hardware and Architecture and Biomedical Engineering, having authored 292 papers that have together received 5.4k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (117 papers), Numerical Methods and Algorithms (109 papers), Digital Filter Design and Implementation (90 papers), Parallel Computing and Optimization Techniques (46 papers), Analog and Mixed-Signal Circuit Design (37 papers), Advanced Memory and Neural Computing (33 papers), Quantum-Dot Cellular Automata (31 papers) and Embedded Systems Design Techniques (27 papers). The work is most often cited by research in Hardware and Architecture (1.4k citations), Computational Theory and Mathematics (2.6k citations), Signal Processing (1.2k citations), Electrical and Electronic Engineering (3.7k citations) and Computer Vision and Pattern Recognition (449 citations). Earl E. Swartzlander has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Michael Schulte, Máire O׳Neill, Harry C. Andrews, Hani Saleh, Weiqiang Liu, Edward A. Patrick, Weiqiang Liu, Liang Lü, Hyesook Lim and Seong‐Wan Kim. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Signal Processing and IEEE Transactions on Nanotechnology.

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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