Marc Bux

402 citations
10 papers · 274 · h-index 9

Impact in

Papers in

Marc Bux

10 papers receiving 270 citations

Peers

Marc Bux
Comparison fields: 5 of 42
  • Information Systems and Management 67
  • Computer Networks and Communications 160
  • Information Systems 129
  • Artificial Intelligence 82
  • Hardware and Architecture 16
Replace Łukasz Łaciński with:
Łukasz Łaciński United States
Salman Toor Sweden
Hyungro Lee United States
Kostas Kavoussanakis United Kingdom
Javier Conejero Spain
Laurens Versluis Netherlands
Mark Raasveldt Netherlands
Peter Amstutz United States
Fabio Simeoni United Kingdom
Mihaela Bornea United States
Marc Bux relative to Łukasz Łaciński United States Łukasz Łaciński's profile →
Citations per field
00.5×2×3×3.5×
Łukasz Łaciński · 1×
Citations per year

Countries citing papers authored by Marc Bux

Since Specialization
Citations

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

Fields of papers citing papers by Marc Bux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Marc Bux, 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 Bux Line = papers co-authored together Marc Bux links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201460
2 201946
3 201446
4 201331
5 201226
6 201520
7 201619
8 201312
9 20159
10 20175

About Marc Bux

Marc Bux is a scholar working on Information Systems and Management, Computer Networks and Communications, Information Systems, Molecular Biology and Artificial Intelligence, having authored 10 papers that have together received 274 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (7 papers), Distributed and Parallel Computing Systems (4 papers), Genomics and Phylogenetic Studies (3 papers), Cloud Computing and Resource Management (3 papers), Algorithms and Data Compression (2 papers), Advanced Data Storage Technologies (2 papers), Software System Performance and Reliability (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Information Systems and Management (67 citations), Computer Networks and Communications (160 citations), Information Systems (129 citations), Artificial Intelligence (82 citations) and Hardware and Architecture (16 citations). Marc Bux has collaborated with scholars based in Germany, Sweden and Portugal. Frequent co-authors include Ulf Leser, Sebastian Wandelt, Johannes Starlinger, Jørgen Brandt, Jim Dowling, Astrid Rheinländer, Jan‐Eric Litton, Erwin Laure, Lora Dimitrova and Karin Zimmermann. Their work appears in journals such as Proceedings of the VLDB Endowment, Future Generation Computer Systems, Information Systems, Lecture notes in computer science and Current Bioinformatics.

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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