Miriam Leeser

3.6k citations
184 papers · 2.1k indexed · h-index 24

Impact in

Papers in

Miriam Leeser

172 papers receiving 2.0k citations

Peers

Miriam Leeser
Comparison fields: 5 of 107
  • Hardware and Architecture 761
  • Computer Vision and Pattern Recognition 484
  • Computer Networks and Communications 538
  • Computational Theory and Mathematics 352
  • Signal Processing 193
Replace George A. Constantinides with:
George A. Constantinides United Kingdom
Tughrul Arslan United Kingdom
Mikel Luján United Kingdom
Yvon Savaria Canada
Norbert Wehn Germany
Hayden Kwok‐Hay So Hong Kong
Ahmet T. Erdogan United Kingdom
Russell Tessier United States
Ang Li United States
G.C. Cardarilli Italy
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Citations per field
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Citations per year

Countries citing papers authored by Miriam Leeser

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Leeser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20246
5 20242
6 20240
7 20230
8 202278
9 20222
10 202115
11
OCT: The Open Cloud FPGA Testbed
20214
12 20203
13 20199
14 20192
15 2018242
16 201588
17
EFFECT OF DATA TRUNCATION IN AN IMPLEMENTATION OF PIXEL CLUSTERING ON A CUSTOM COMPUTING MACHINE
20002
18 19949
19
Implementing Filters with programmable logic
19941
20 19925

About Miriam Leeser

Miriam Leeser is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 184 papers that have together received 2.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (52 papers), Embedded Systems Design Techniques (47 papers), Numerical Methods and Algorithms (25 papers), Formal Methods in Verification (20 papers), CCD and CMOS Imaging Sensors (18 papers), Interconnection Networks and Systems (16 papers), Low-power high-performance VLSI design (16 papers) and VLSI and Analog Circuit Testing (12 papers). The work is most often cited by research in Hardware and Architecture (761 citations), Computer Vision and Pattern Recognition (484 citations), Computer Networks and Communications (538 citations), Computational Theory and Mathematics (352 citations) and Signal Processing (193 citations). Miriam Leeser has collaborated with scholars based in United States, Mexico and Ireland. Frequent co-authors include Ningfang Mi, Janki Bhimani, Xiaojun Wang, James Theiler, Michaela Blott, J. Szymański, Nicholas J. Fraser, Giulio Gambardella, Yaman Umuroglu and Kenneth M. O'Brien. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Reconfigurable Technology and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Access and Computing in Science & Engineering.

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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