Robert Ganian

1.2k citations
72 papers · 284 · h-index 9

Impact in

Papers in

Robert Ganian

63 papers receiving 276 citations

Peers

Robert Ganian
Comparison fields: 5 of 34
  • Computational Theory and Mathematics 206
  • Discrete Mathematics and Combinatorics 17
  • Computer Networks and Communications 74
  • Industrial and Manufacturing Engineering 28
  • Management Science and Operations Research 29
Replace Rastislav Kráľovič with:
Rastislav Kráľovič Slovakia
Rajiv Raman United States
Mao-cheng Cai China
A. V. Karzanov Russia
Christine T. Cheng United States
Dorit Dor Israel
Bruno Escoffier France
Thomas Dueholm Hansen Denmark
Rishi Saket United States
Parinya Chalermsook Germany
Robert Ganian relative to Rastislav Kráľovič Slovakia Rastislav Kráľovič's profile →
Citations per field
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Rastislav Kráľovič · 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200924
2 202017
3 201314
4 201513
5 201713
6 201712
7 201312
8 20169
9 20179
10 20138
11 20207
12 20217
13 20127
14 20157
15 20186
16 20156
17 20186
18 20215
19 20185
20 20205

About Robert Ganian

Robert Ganian is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Geometry and Topology and Signal Processing, having authored 72 papers that have together received 284 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (46 papers), Complexity and Algorithms in Graphs (27 papers), Formal Methods in Verification (17 papers), Constraint Satisfaction and Optimization (16 papers), Graph theory and applications (7 papers), Data Management and Algorithms (7 papers), Graph Labeling and Dimension Problems (7 papers) and Bayesian Modeling and Causal Inference (7 papers). The work is most often cited by research in Computational Theory and Mathematics (206 citations), Discrete Mathematics and Combinatorics (17 citations), Computer Networks and Communications (74 citations), Industrial and Manufacturing Engineering (28 citations) and Management Science and Operations Research (29 citations). Robert Ganian has collaborated with scholars based in Austria, United Kingdom and Czechia. Frequent co-authors include Sebastian Ordyniak, Petr Hliněný, Stefan Szeider, Jan Óbdržálek, M. S. Ramanujan, Dušan Knop, Peter Rossmanith, Pavel Dvořák, M. S. Ramanujan and Joachim Kneis. Their work appears in journals such as Artificial Intelligence, Algorithmica, Journal of Computer and System Sciences, Discrete Applied Mathematics and SIAM Journal on Discrete Mathematics.

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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