Diana Marculescu

8.6k citations
246 papers · 5.6k indexed · 2 hit papers · h-index 39

Diana Marculescu

241 papers receiving 5.4k citations

Hit Papers

EMCAD: Efficient Multi-Scale Convolutional Attention Deco...101202320262024202550100150

Peers

Diana Marculescu
Comparison fields: 5 of 121
  • Hardware and Architecture 3.1k
  • Computer Networks and Communications 1.9k
  • Electrical and Electronic Engineering 3.6k
  • Computer Vision and Pattern Recognition 617
  • Artificial Intelligence 504
Replace Radu Mărculescu with:
Radu Mărculescu United States
Gu-Yeon Wei United States
Marilyn Wolf United States
Massimo Poncino Italy
Seth Copen Goldstein United States
Sarma Vrudhula United States
Bashir M. Al‐Hashimi United Kingdom
Parameswaran Ramanathan United States
Alessandro Bogliolo Italy
Wayne Wolf United States
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Citations per field
00.5×2.8×
Radu Mărculescu · 1×
Citations per year

Countries citing papers authored by Diana Marculescu

Since Specialization
Citations

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

Fields of papers citing papers by Diana Marculescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2
LeGR: Filter Pruning via Learned Global Ranking.
201910
3 201549
4 20151
5
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design
201552
6 20153
7 201340
8 20129
9 20102
10 20075
11
Proceedings of the 2007 international symposium on Low power electronics and design
20075
12 20040
13 20036
14 20036
15 200316
16 200310
17 200142
18 20018
19
Vector Compaction Using Dynamic Markov Models (Special Section on VLSI Design and CAD Algorithms)
199711
20 199498

About Diana Marculescu

Diana Marculescu is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 246 papers that have together received 5.6k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (106 papers), Parallel Computing and Optimization Techniques (81 papers), Interconnection Networks and Systems (51 papers), Embedded Systems Design Techniques (35 papers), VLSI and FPGA Design Techniques (34 papers), Semiconductor materials and devices (31 papers), Radiation Effects in Electronics (30 papers) and VLSI and Analog Circuit Testing (28 papers). The work is most often cited by research in Hardware and Architecture (3.1k citations), Computer Networks and Communications (1.9k citations) and Electrical and Electronic Engineering (3.6k citations). Diana Marculescu has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Radu Mărculescu, Nataša Miškov-Živanov, Sebastian Herbert, Massoud Pedram, Siddharth Garg, Ümit Y. Ogras, Kai–Chiang Wu, Emil Talpes, Da-Cheng Juan and Ruizhou Ding. Their work appears in journals such as Proceedings of the IEEE, Computer and IEEE Transactions on Computers.

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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