D. Dumitrescu

1.3k citations
68 papers · 738 indexed · h-index 14
Topics
Metaheuristic Optimization Algorithms Research (35 papers)Evolutionary Algorithms and Applications (26 papers)Advanced Multi-Objective Optimization Algorithms (14 papers)
Partner nations
RomaniaGermanyItaly

In The Last Decade

D. Dumitrescu

65 papers receiving 667 citations

Peers

D. Dumitrescu
Comparison fields: 5 of 88
  • Artificial Intelligence 486
  • Computational Theory and Mathematics 314
  • Management Science and Operations Research 125
  • Statistics and Probability 93
  • Industrial and Manufacturing Engineering 59
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Citations per field
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Citations per year

Countries citing papers authored by D. Dumitrescu

Since Specialization
Citations

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

Fields of papers citing papers by D. Dumitrescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Dumitrescu

This figure shows the co-authorship network connecting the top 25 collaborators of D. Dumitrescu. A scholar is included among the top collaborators of D. Dumitrescu 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 D. Dumitrescu. D. Dumitrescu 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 1
3 6
4
LEARNING SENSITIVE STIGMERGIC AGENTS FOR SOLVING COMPLEX PROBLEMS
10
5 99
6 15
7
Sensitive ant model for combinatorial optimization
3
8
A Sensitive Metaheuristic for Solving a Large Optimization Problem
2
9
A Hybrid Ant-Based System for Gate Assignment Problem
9
10 1
11
An ant-based technique for the dynamic generalized traveling salesman problem
8
12 14
13
The genetic chromodynamics metaheuristic
1
14
Linear Evolutionary Support Vector Machines for Separable Training Data
1
15
Elitist Generational Genetic Chromodynamics as a Learning Classifier System
1
16 3
17 5
18 1
19
A comparison of multiobjective evolutionary algorithms.
11
20 54

About D. Dumitrescu

D. Dumitrescu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics, having authored 68 papers that have together received 738 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (35 papers), Evolutionary Algorithms and Applications (26 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). The work is most often cited by research in Computational Theory and Mathematics (314 citations), Artificial Intelligence (486 citations) and Statistics and Probability (93 citations). D. Dumitrescu has collaborated with scholars based in Romania, Germany and Italy. Frequent co-authors include Rodica Ioana Lung, Cătălin Stoean, Mike Preuß, Ruxandra Stoean, Camelia-M. Pintea, Camelia Chira, Horia F. Pop, Costel Sârbu, Petrică C. Pop and Crina Groşan. Their work appears in journals such as PLoS ONE, European Journal of Operational Research and Journal of the Operational Research Society.

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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