Marc Casas

13.2k citations
95 papers · 752 indexed · h-index 16

Marc Casas

93 papers receiving 729 citations

Peers

Marc Casas
Comparison fields: 5 of 53
  • Hardware and Architecture 572
  • Computer Networks and Communications 549
  • Information Systems 193
  • Computational Mathematics 4
  • Computer Vision and Pattern Recognition 76
Replace Basilio B. Fraguela with:
Basilio B. Fraguela Spain
Daniel Lustig United States
Sreeram Potluri United States
Yunlian Jiang United States
Shirley Moore United States
Jesús Corbal Spain
Kevin B. Theobald United States
Chris J. Scheiman United States
Richard Veras United States
Albert D. Alexandrov United States
Marc Casas relative to Basilio B. Fraguela Spain Basilio B. Fraguela's profile →
Citations per field
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Basilio B. Fraguela · 1×
Citations per year

Countries citing papers authored by Marc Casas

Since Specialization
Citations

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

Fields of papers citing papers by Marc Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20242
4 20246
5 20233
6 20234
7 20236
8 20229
9 20223
10 20203
11 20193
12 20197
13 201910
14 20183
15 20183
16 20169
17 201518
18 201116
19
2008 IEEE International Conference on Cluster Computing
20081
20 200715

About Marc Casas

Marc Casas is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computational Mathematics, Health Informatics and Information Systems, having authored 95 papers that have together received 752 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (81 papers), Advanced Data Storage Technologies (35 papers), Distributed and Parallel Computing Systems (24 papers), Interconnection Networks and Systems (20 papers), Embedded Systems Design Techniques (16 papers), Cloud Computing and Resource Management (13 papers), Low-power high-performance VLSI design (8 papers) and Radiation Effects in Electronics (8 papers). The work is most often cited by research in Hardware and Architecture (572 citations), Computer Networks and Communications (549 citations), Information Systems (193 citations), Computational Mathematics (4 citations) and Computer Vision and Pattern Recognition (76 citations). Marc Casas has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Miquel Moretó, Jesús Labarta, Mateo Valero, Eduard Ayguadé, Rosa M. Badía, Greg Bronevetsky, Lluc Alvarez, Martin Schulz, Adrià Armejach and Filippo Mantovani. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, The International Journal of High Performance Computing Applications, IEEE Micro, Future Generation Computer Systems 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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