Daniel Rehfeldt

648 total citations
20 papers, 126 citations indexed

About

Daniel Rehfeldt is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Daniel Rehfeldt has authored 20 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 12 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Daniel Rehfeldt's work include Advanced Graph Theory Research (9 papers), VLSI and FPGA Design Techniques (7 papers) and Complexity and Algorithms in Graphs (6 papers). Daniel Rehfeldt is often cited by papers focused on Advanced Graph Theory Research (9 papers), VLSI and FPGA Design Techniques (7 papers) and Complexity and Algorithms in Graphs (6 papers). Daniel Rehfeldt collaborates with scholars based in Germany, Austria and Australia. Daniel Rehfeldt's co-authors include Thorsten Koch, Yuji Shinano, Stephen J. Maher, Gerald Gamrath, Ambros Gleixner, Dominik Möst, Saman Halgamuge, Marcus Brazil, D. A. Thomas and David Seibert and has published in prestigious journals such as European Journal of Operational Research, IEEE/ACM Transactions on Networking and Mathematical Programming.

In The Last Decade

Daniel Rehfeldt

17 papers receiving 112 citations

Peers

Daniel Rehfeldt
Comparison fields: 5 of 47
  • Computational Theory and Mathematics 48
  • Electrical and Electronic Engineering 47
  • Computer Networks and Communications 29
  • Industrial and Manufacturing Engineering 28
  • Artificial Intelligence 26
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Citations per field, relative to Daniel Rehfeldt
Daniel Rehfeldt · 1×
Citations per year, relative to Daniel Rehfeldt
Daniel Rehfeldt · 1×

Countries citing papers authored by Daniel Rehfeldt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rehfeldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Rehfeldt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Rehfeldt. A scholar is included among the top collaborators of Daniel Rehfeldt 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 Daniel Rehfeldt. Daniel Rehfeldt 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
# Work Indexed citations
1 2
2 14
3 1
4 0
5 16
6 2
7 7
8
Optimal Connected Subgraphs: Formulations and Algorithms
0
9 12
10 11
11 4
12
A massively parallel interior-point solver for linear energy system models with block structure
1
13 9
14 1
15 5
16 4
17
Generalized preprocessing techniques for Steiner tree and maximum-weight connected subgraph problems
0
18 29
19
A Generic Approach to Solving the Steiner Tree Problem and Variants
7
20
SCIP-Jack - A massively parallel STP solver
1

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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