Marilyn Wolf

7.1k citations
234 papers · 4.6k indexed · 1 hit paper · h-index 33

Marilyn Wolf

218 papers receiving 4.3k citations

Hit Papers

TGFF: task graphs for free3982002202620102018100200300

Peers

Marilyn Wolf
Comparison fields: 5 of 115
  • Hardware and Architecture 2.1k
  • Computer Networks and Communications 1.9k
  • Computer Vision and Pattern Recognition 1.2k
  • Signal Processing 447
  • Software 96
Replace Sandeep K. S. Gupta with:
Sandeep K. S. Gupta United States
Karl Koscher United States
Diana Marculescu United States
Wayne Wolf United States
Peter Steenkiste United States
Timo D. Hämäläinen Finland
Zonghua Gu China
Thambipillai Srikanthan Singapore
Kevin Fu United States
Mohammad Abdullah Al Faruque United States
Marilyn Wolf relative to Sandeep K. S. Gupta United States Sandeep K. S. Gupta's profile →
Citations per field
00.5×1.5×2.3×
Sandeep K. S. Gupta · 1×
Citations per year

Countries citing papers authored by Marilyn Wolf

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20240
5 202140
6 202160
7 20205
8 202012
9 201911
10
Computers as Components, Third Edition: Principles of Embedded Computing System Design
20122
11 200610
12 200219
13 20018
14 200152
15 199725
16 19972
17 199715
18 19973
19 199618
20 199243

About Marilyn Wolf

Marilyn Wolf is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 234 papers that have together received 4.6k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (75 papers), Parallel Computing and Optimization Techniques (63 papers), Interconnection Networks and Systems (44 papers), Real-Time Systems Scheduling (30 papers), Video Surveillance and Tracking Methods (28 papers), Advanced Vision and Imaging (22 papers), Low-power high-performance VLSI design (22 papers) and Video Coding and Compression Technologies (17 papers). The work is most often cited by research in Hardware and Architecture (2.1k citations), Computer Networks and Communications (1.9k citations) and Computer Vision and Pattern Recognition (1.2k citations). Marilyn Wolf has collaborated with scholars based in United States, Germany and Greece. Frequent co-authors include David L. Rhodes, Dimitrios Serpanos, Robert P. Dick, A.A. Jerraya, Haris Lekatsas, T. Lv, Burak Özer, Grant Martín, Jörg Henkel and Bernhard Rinner. Their work appears in journals such as Computer, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Design and Test, Proceedings of the IEEE and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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