Ulrich Faigle

99 papers receiving 1.5k citations

Peers

Ulrich Faigle
Comparison fields: 5 of 110
  • Computational Theory and Mathematics 663
  • Management Science and Operations Research 436
  • Economics and Econometrics 433
  • Computer Networks and Communications 307
  • Industrial and Manufacturing Engineering 254
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Citations per year

Countries citing papers authored by Ulrich Faigle

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Faigle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Faigle

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Faigle. A scholar is included among the top collaborators of Ulrich Faigle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ulrich Faigle. Ulrich Faigle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2
Two-phase greedy algorithms for some classes of combinatorial linear programs
4
3 4
4 11
5
13
6
6th Twente Workshop on Graphs and Combinatorial Optimization
5
7
An algebraic framework for the greedy algorithm with applications to the core and Weber set of cooperative games
0
8
An efficient algorithm for nucleolus and prekernel computation in some classes of TU-games
5
9
Computing the Nucleolus of Min-cost Spanning Tree Games is NP-hard
6
10 1
11
Partition games and the core of hierarchically convex cost games
7
12
Note On the Computational Complexity of j-Radii of Polytopes in R n
5
13 43
14
Randomized online algorithms for maximizing busy time interval scheduling
1
15
Submodular linear programs on forests
2
16
On the game chromatic number of some classes of graphs
95
17 109
18 70
19 0
20 1

About Ulrich Faigle

Ulrich Faigle is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Management Science and Operations Research, having authored 104 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (27 papers), Game Theory and Voting Systems (24 papers) and Complexity and Algorithms in Graphs (17 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (188 citations), Computational Theory and Mathematics (663 citations) and Management Science and Operations Research (436 citations). Ulrich Faigle has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Walter Kern, Rainer Schräder, Jeroen Kuipers, W. T. Trotter, H. A. Kierstead, J. Klosterkoetter, Michel Grabisch, Anke Brockhaus‐Dumke, Neil White and Gian‐Carlo Rota. Their work appears in journals such as Bioinformatics, IEEE Transactions on Information Theory and European Journal of Operational Research.

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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