Raphaël Poss

420 citations
20 papers · 252 · h-index 6

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Distributed systems and fault tolerance
    • Advanced Data Storage Technologies
    • Interconnection Networks and Systems
    • Distributed and Parallel Computing Systems
    • Advanced Database Systems and Queries

Papers in

    • Parallel Computing and Optimization Techniques 14
    • Embedded Systems Design Techniques 6
    • Distributed and Parallel Computing Systems 7
    • Interconnection Networks and Systems 7
    • Advanced Data Storage Technologies 6
    • Distributed systems and fault tolerance 3

Raphaël Poss

17 papers receiving 228 citations

Peers

Raphaël Poss
Comparison fields: 5 of 24
  • Hardware and Architecture 91
  • Computer Networks and Communications 216
  • Information Systems 85
  • Software 10
  • Information Systems and Management 8
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Citations per field
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Jackson Mayo · 1×
Citations per year

Countries citing papers authored by Raphaël Poss

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Poss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Raphaël Poss, 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 Raphaël Poss Line = papers co-authored together Raphaël Poss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020163
2 201311
3 200310
4 20129
5 20139
6 20127
7 20146
8 20136
9 20116
10 20145
11 20145
12 20144
13 20104
14 20123
15 20112
16 20141
17
People-Specific Languages: a case for automated programming language generation by reverse-engineering programmer minds
20141
18 20140
19 20120
20 20250

About Raphaël Poss

Raphaël Poss is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Artificial Intelligence and Information Systems and Management, having authored 20 papers that have together received 252 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Distributed and Parallel Computing Systems (7 papers), Interconnection Networks and Systems (7 papers), Advanced Data Storage Technologies (6 papers), Embedded Systems Design Techniques (6 papers), Distributed systems and fault tolerance (3 papers), Cloud Computing and Resource Management (3 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Hardware and Architecture (91 citations), Computer Networks and Communications (216 citations), Information Systems (85 citations), Software (10 citations) and Information Systems and Management (8 citations). Raphaël Poss has collaborated with scholars based in Netherlands, United Kingdom and France. Frequent co-authors include CHRIS R. JESSHOPE, Muhammad Irfan Uddin, Rebecca Taft, Jordan Lewis, Lucy Zhang, Sylvain Lombardy, Jacques Sakarovitch, Qiang Yang, Clemens Grelck and Jian Fu. Their work appears in journals such as Journal of Systems Architecture, ACM Transactions on Embedded Computing Systems, Lecture notes in computer science, Microprocessors and Microsystems and Advances in parallel computing.

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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