André Seznec

5.0k citations
136 papers · 2.6k indexed · h-index 29

André Seznec

128 papers receiving 2.4k citations

Peers

André Seznec
Comparison fields: 5 of 52
  • Hardware and Architecture 2.3k
  • Computer Networks and Communications 1.9k
  • Information Systems 295
  • Electrical and Electronic Engineering 743
  • Artificial Intelligence 406
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Countries citing papers authored by André Seznec

Since Specialization
Citations

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

Fields of papers citing papers by André Seznec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201626
2 201510
3 20090
4
The Idealistic GTL Predictor.
20074
5
The L-TAGE Branch Predictor.
200739
6
Genesis of the O-GEHL Branch Predictor.
20059
7
CASH: Revisiting hardware sharing in single-chip parallel processor
200416
8 200487
9 200231
10
A Comprehensive Study of Dynamic Global History Branch Prediction
20017
11 199940
12 199871
13
Skewed associativity improves program performance and enhances predictability
19972
14 199467
15 199216
16
Optimizing Memory Throughput In a Tightly Coupled Multiprocessor.
19873
17
Address synchronized multiprocessor architecture
19862
18
An Efficient Routing Control Unit for the SIGMA Network E(4).
19862
19 19868
20 19862

About André Seznec

André Seznec is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Artificial Intelligence, having authored 136 papers that have together received 2.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (123 papers), Advanced Data Storage Technologies (61 papers), Interconnection Networks and Systems (41 papers), Embedded Systems Design Techniques (23 papers), Distributed and Parallel Computing Systems (19 papers), Low-power high-performance VLSI design (18 papers), Cloud Computing and Resource Management (15 papers) and Advanced Memory and Neural Computing (12 papers). The work is most often cited by research in Hardware and Architecture (2.3k citations), Computer Networks and Communications (1.9k citations), Information Systems (295 citations), Electrical and Electronic Engineering (743 citations) and Artificial Intelligence (406 citations). André Seznec has collaborated with scholars based in France, United States and Cyprus. Frequent co-authors include Pierre Michaud, François Bodin, Yiannakis Sazeides, Stéphan Jourdan, Richard Uhlig, Venkata Krishnan, Hans Vandierendonck, David A. Wood, Somayeh Sardashti and Pascal Sainrat. Their work appears in journals such as IEEE Transactions on Computers, Journal of Parallel and Distributed Computing, IEEE Computer Architecture Letters, IEEE Micro and ACM Transactions on Architecture and Code Optimization.

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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