Robert Ganian

1.2k citations
103 papers · 613 · h-index 13

Impact in

Papers in

Robert Ganian

94 papers receiving 601 citations

Peers

Robert Ganian
Comparison fields: 5 of 42
  • Computational Theory and Mathematics 500
  • Discrete Mathematics and Combinatorics 58
  • Computer Networks and Communications 174
  • Computer Graphics and Computer-Aided Design 25
  • Geometry and Topology 44
Replace Sebastian Ordyniak with:
Sebastian Ordyniak Austria
Víctor Dalmau Spain
Rick Giles United States
A.M.H. Gerards Netherlands
Nicola Galesi Italy
Jan C. Bioch Netherlands
Toshihiro Fujito Japan
J. Richard Lundgren United States
Jan Óbdržálek Czechia
Philippe Clauss France
Robert Ganian relative to Sebastian Ordyniak Austria Sebastian Ordyniak's profile →
Citations per field
00.5×2.8×
Sebastian Ordyniak · 1×
Citations per year

Countries citing papers authored by Robert Ganian

Since Specialization
Citations

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

Fields of papers citing papers by Robert Ganian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200941
2 201233
3 201231
4 200925
5 201324
6 201521
7 202021
8 201518
9 201318
10 201717
11 201516
12 201714
13 201713
14 201311
15 201111
16 201911
17 20219
18 20169
19 20208
20 20098

About Robert Ganian

Robert Ganian is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Geometry and Topology, having authored 103 papers that have together received 613 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (70 papers), Complexity and Algorithms in Graphs (42 papers), Formal Methods in Verification (24 papers), Constraint Satisfaction and Optimization (21 papers), Graph Labeling and Dimension Problems (15 papers), Data Management and Algorithms (9 papers), Graph theory and applications (8 papers) and Bayesian Modeling and Causal Inference (8 papers). The work is most often cited by research in Computational Theory and Mathematics (500 citations), Discrete Mathematics and Combinatorics (58 citations), Computer Networks and Communications (174 citations), Computer Graphics and Computer-Aided Design (25 citations) and Geometry and Topology (44 citations). Robert Ganian has collaborated with scholars based in Austria, Czechia and United Kingdom. Frequent co-authors include Petr Hliněný, Sebastian Ordyniak, Stefan Szeider, Jan Óbdržálek, M. S. Ramanujan, Peter Rossmanith, Joachim Kneis, Alexander Langer, Dušan Knop and Eun Jung Kim. Their work appears in journals such as Algorithmica, Artificial Intelligence, Journal of Computer and System Sciences, Discrete Applied Mathematics and Lecture notes in computer science.

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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