Camelia-M. Pintea

1.3k citations
46 papers · 434 · h-index 11

Impact in

Papers in

Camelia-M. Pintea

42 papers receiving 407 citations

Peers

Camelia-M. Pintea
Comparison fields: 5 of 94
  • Industrial and Manufacturing Engineering 131
  • Health Informatics 13
  • Artificial Intelligence 189
  • Transportation 38
  • Management Information Systems 27
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Citations per year

Countries citing papers authored by Camelia-M. Pintea

Since Specialization
Citations

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

Fields of papers citing papers by Camelia-M. Pintea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Camelia-M. Pintea. 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 Camelia-M. Pintea. The network helps show where Camelia-M. Pintea may publish in the future.

Co-authors

The 20 scholars most cited alongside Camelia-M. Pintea, 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 Camelia-M. Pintea Line = papers co-authored together Camelia-M. Pintea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018146
2 201425
3 201723
4 200518
5 201617
6 201113
7 200912
8
Combining heuristics and modifying local information to guide ant-based search
200810
9
LEARNING SENSITIVE STIGMERGIC AGENTS FOR SOLVING COMPLEX PROBLEMS
201010
10 201510
11 201810
12
A Hybrid Ant-Based System for Gate Assignment Problem
20089
13 20089
14 20139
15 20209
16
An ant-based technique for the dynamic generalized traveling salesman problem
20078
17 20098
18 20117
19 20207
20 20157

About Camelia-M. Pintea

Camelia-M. Pintea is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 46 papers that have together received 434 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (20 papers), Vehicle Routing Optimization Methods (19 papers), Data Management and Algorithms (6 papers), Optimization and Packing Problems (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Transportation and Mobility Innovations (4 papers), Robotic Path Planning Algorithms (3 papers) and Transportation Planning and Optimization (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (131 citations), Health Informatics (13 citations), Artificial Intelligence (189 citations), Transportation (38 citations) and Management Information Systems (27 citations). Camelia-M. Pintea has collaborated with scholars based in Romania, United Kingdom and United States. Frequent co-authors include Petrică C. Pop, Gloria Cerasela Crişan, Camelia Chira, D. Dumitrescu, Vasile Palade, Andreas Holzinger, Markus Plass, Michael Kickmeier-Rust, Katharina Holzinger and Corina Pop Sitar. Their work appears in journals such as Logic Journal of IGPL, Knowledge and Information Systems, Applied Intelligence, Journal of Applied Logic and Carpathian Journal of 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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