M. Lassnig

103.8k citations
66 papers · 340 · h-index 9

Impact in

Papers in

M. Lassnig

62 papers receiving 324 citations

Peers

M. Lassnig
Comparison fields: 5 of 28
  • Information Systems and Management 153
  • Computer Networks and Communications 313
  • Nuclear and High Energy Physics 69
  • Hardware and Architecture 37
  • Information Systems 57
Replace V. Garonne with:
V. Garonne Switzerland
Benjamin Gaidioz Switzerland
B. Koblitz Switzerland
E. Karavakis Switzerland
M-S. Barisits Switzerland
Ian Bird United States
Junmin Gu United States
D. Oleynik United States
D. Bonacorsi Italy
M. Ellert Sweden
M. Lassnig relative to V. Garonne Switzerland V. Garonne's profile →
Citations per field
00.5×2×4×6×8×9×
V. Garonne · 1×
Citations per year

Countries citing papers authored by M. Lassnig

Since Specialization
Citations

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

Fields of papers citing papers by M. Lassnig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200860
2 201441
3 201224
4 201022
5 202013
6 201110
7 201910
8 20169
9 20188
10 20148
11 20097
12 20096
13 20196
14 20106
15 20215
16 20085
17 20234
18 20214
19 20174
20 20194

About M. Lassnig

M. Lassnig is a scholar working on Computer Networks and Communications, Information Systems and Management, Nuclear and High Energy Physics, Hardware and Architecture and Information Systems, having authored 66 papers that have together received 340 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (59 papers), Advanced Data Storage Technologies (47 papers), Scientific Computing and Data Management (35 papers), Parallel Computing and Optimization Techniques (7 papers), Peer-to-Peer Network Technologies (6 papers), Software System Performance and Reliability (5 papers), Cloud Computing and Resource Management (5 papers) and Particle physics theoretical and experimental studies (5 papers). The work is most often cited by research in Information Systems and Management (153 citations), Computer Networks and Communications (313 citations), Nuclear and High Energy Physics (69 citations), Hardware and Architecture (37 citations) and Information Systems (57 citations). M. Lassnig has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include V. Garonne, M-S. Barisits, C. Serfon, G. A. Stewart, L. Goossens, Miguel Castelo‐Branco, A. M. Nairz, R. Vigne, T. Wenaus and P. E. De Castro Faria Salgado. Their work appears in journals such as Journal of Computational Science, Frontiers in Big Data, Lecture notes in computer science, Concurrency and Computation Practice and Experience and Nuclear and Particle Physics Proceedings.

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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