Ben Paechter

44 papers receiving 956 citations

Peers

Ben Paechter
Comparison fields: 5 of 85
  • Management Science and Operations Research 424
  • Industrial and Manufacturing Engineering 319
  • Artificial Intelligence 274
  • Computer Networks and Communications 269
  • Civil and Structural Engineering 237
Replace Ambros Gleixner with:
Ambros Gleixner Germany
Christian von Lücken Paraguay
Fayzul Pasha United States
Cristiano Cervellera Italy
Eduardo G. Carrano Brazil
Louise Travé-Massuyès France
Itziar Landa-Torres Spain
Jianping Luo China
Anupam Trivedi Singapore
José García Chile
Ben Paechter relative to Ambros Gleixner Germany Ambros Gleixner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ben Paechter

Since Specialization
Citations

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

Fields of papers citing papers by Ben Paechter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Paechter

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Paechter. A scholar is included among the top collaborators of Ben Paechter 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 Ben Paechter. Ben Paechter 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 1
2 4
3 13
4 17
5 3
6 5
7 0
8 13
9
Computing the state of specknets: An immune-inspired approach
1
10 186
11
ENSEMBLE: EMBODIED EXPERIENCES IN A SOUND AND JEWELLERY INSTALLATION
0
12 28
13 9
14
A memetic algorithm for the university course timetabling.
12
15
A comparison of the performance of different metaheuristics on the timetabling problem
101
16 9
17 0
18 24
19 16
20
Solving CSPs using self-adaptive constraint weights: how to prevent EAs from cheating
5

About Ben Paechter

Ben Paechter is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Scheduling and Timetabling Solutions (12 papers) and Evolutionary Algorithms and Applications (11 papers). The work is most often cited by research in Management Science and Operations Research (424 citations), Industrial and Manufacturing Engineering (319 citations) and Ocean Engineering (185 citations). Ben Paechter has collaborated with scholars based in United Kingdom, Spain and Netherlands. Frequent co-authors include Manuel López‐Ibáñez, T. Devi Prasad, Rhyd Lewis, Emma Hart, Barry McCollum, Andrew Parkes, Edmund Burke, Rong Qu, Kevin Sim and Luca Di Gaspero. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Applied Mathematical Modelling and Journal of Water Resources Planning and Management.

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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