Michael Ferdman

4.9k citations
63 papers · 3.6k · 3 hit papers · h-index 25

Impact in

Papers in

Michael Ferdman

62 papers receiving 3.4k citations

Michael Ferdman's Hit Papers

Fused-layer CNN accelerators 2016 · 429 citations
4290+5+11Years since publication200400600

Peers

Michael Ferdman
Comparison fields: 5 of 74
  • Hardware and Architecture 2.2k
  • Computer Networks and Communications 2.4k
  • Information Systems 1.2k
  • Computer Vision and Pattern Recognition 631
  • Computational Mathematics 12
Replace Sudhakar Yalamanchili with:
Sudhakar Yalamanchili United States
Daniel Sánchez United States
Hyesoon Kim United States
Andreas Moshovos Canada
Adrian M. Caulfield United States
James C. Hoe United States
Shuaiwen Leon Song United States
Aamer Jaleel United States
Eric S. Chung United States
James Laudon United States
Michael Ferdman relative to Sudhakar Yalamanchili United States Sudhakar Yalamanchili's profile →
Citations per field
00.5×2.6×
Sudhakar Yalamanchili · 1×
Citations per year

Countries citing papers authored by Michael Ferdman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ferdman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clearing the clouds
Hit paper breakdown →
2012661
2
Fused-layer CNN accelerators
Hit paper breakdown →
2016429
3
Reactive NUCA
Hit paper breakdown →
2009308
4 2006262
5 2011247
6 2008163
7 2012129
8 2012109
9 201197
10 201793
11 201178
12 201274
13 201773
14 200972
15 200871
16 201859
17 201652
18 201244
19 201639
20 200838

About Michael Ferdman

Michael Ferdman is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 63 papers that have together received 3.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (37 papers), Advanced Data Storage Technologies (29 papers), Cloud Computing and Resource Management (16 papers), Interconnection Networks and Systems (11 papers), Advanced Memory and Neural Computing (7 papers), Distributed systems and fault tolerance (6 papers), Advanced Neural Network Applications (6 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Hardware and Architecture (2.2k citations), Computer Networks and Communications (2.4k citations), Information Systems (1.2k citations), Computer Vision and Pattern Recognition (631 citations) and Computational Mathematics (12 citations). Michael Ferdman has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Babak Falsafi, Anastasia Ailamaki, Peter Milder, Nikos Hardavellas, Cansu Kaynak, Almutaz Adileh, Han Chen, Djordje Jevdjic, Onur Kocberber and Stavros Volos. Their work appears in journals such as IEEE Micro, ACM SIGPLAN Notices, ACM Transactions on Computer Systems, Bioinformatics and Cell 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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