M-S. Barisits

36.1k citations
31 papers · 201 · h-index 8

Impact in

Papers in

M-S. Barisits

28 papers receiving 187 citations

Peers

M-S. Barisits
Comparison fields: 5 of 19
  • Information Systems and Management 70
  • Computer Networks and Communications 191
  • Hardware and Architecture 23
  • Nuclear and High Energy Physics 36
  • Information Systems 57
Replace S. Metson with:
S. Metson United Kingdom
D. Hufnagel United States
D. Bonacorsi Italy
Paolo Andreetto Italy
S. Campana Switzerland
P Saiz Switzerland
I. Legrand United States
C. Grigoras Switzerland
Ramiro Voicu United States
Ian Bird United States
M-S. Barisits relative to S. Metson United Kingdom S. Metson's profile →
Citations per field
00.5×
S. Metson · 1×
Citations per year

Countries citing papers authored by M-S. Barisits

Since Specialization
Citations

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

Fields of papers citing papers by M-S. Barisits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M-S. Barisits. 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 M-S. Barisits. The network helps show where M-S. Barisits may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200946
2 201441
3 201224
4 202013
5 201110
6 20169
7 20188
8 20148
9 20174
10 20114
11 20193
12 20203
13 20123
14 20143
15 20153
16 20152
17 20142
18 20122
19 20142
20 20172

About M-S. Barisits

M-S. Barisits is a scholar working on Computer Networks and Communications, Information Systems and Management, Nuclear and High Energy Physics, Hardware and Architecture and Artificial Intelligence, having authored 31 papers that have together received 201 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (26 papers), Advanced Data Storage Technologies (22 papers), Scientific Computing and Data Management (13 papers), Parallel Computing and Optimization Techniques (5 papers), Distributed systems and fault tolerance (5 papers), Big Data Technologies and Applications (4 papers), Particle physics theoretical and experimental studies (3 papers) and Particle Detector Development and Performance (3 papers). The work is most often cited by research in Information Systems and Management (70 citations), Computer Networks and Communications (191 citations), Hardware and Architecture (23 citations), Nuclear and High Energy Physics (36 citations) and Information Systems (57 citations). M-S. Barisits has collaborated with scholars based in Switzerland, Austria and Germany. Frequent co-authors include M. Lassnig, V. Garonne, C. Serfon, Dejan Kostić, Nedeljko Vasić, G. A. Stewart, A. M. Nairz, L. Goossens, R. Vigne and T. A. Beermann. Their work appears in journals such as Journal of Computational Science, Lecture notes in computer science, Nuclear and Particle Physics Proceedings, Journal of Physics Conference Series and IEEE Data(base) Engineering Bulletin.

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.

Explore authors with similar magnitude of impact