Dariusz Barbucha
Impact in
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- Vehicle Routing Optimization Methods
- Optimization and Packing Problems
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- Transportation and Mobility Innovations
Papers in
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- Vehicle Routing Optimization Methods 7
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- Transportation and Mobility Innovations 6
- Co-authors
- Piotr Jędrzejowicz (4 shared papers)Ngoc Thanh Nguyên (1 shared paper)Ireneusz Czarnowski (1 shared paper)Lakhmi C. Jain (1 shared paper)Robert J. Howlett (1 shared paper)Adam Krężel (1 shared paper)Juliusz B. Gajewski (1 shared paper)
- Journals
- Neurocomputing (2 papers)European Journal of Operational Research (1 paper)Expert Systems with Applications (1 paper)Scientific Reports (1 paper)Studies in computational intelligence (1 paper)
- Partner nations
- PolandUnited StatesIndonesia
In The Last Decade
Dariusz Barbucha
12 papers receiving 89 citations
Peers
Comparison fields: 5 of 40
- Industrial and Manufacturing Engineering 54
- Automotive Engineering 27
- Transportation 8
- Building and Construction 14
- Artificial Intelligence 30
Countries citing papers authored by Dariusz Barbucha
This map shows the geographic impact of Dariusz Barbucha'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 Dariusz Barbucha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dariusz Barbucha more than expected).
Fields of papers citing papers by Dariusz Barbucha
This network shows the impact of papers produced by Dariusz Barbucha. 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 Dariusz Barbucha. The network helps show where Dariusz Barbucha may publish in the future.
Co-authors
The 7 scholars most cited alongside Dariusz Barbucha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 22 | |
| 2 | 2012 | 14 | |
| 3 | 2015 | 13 | |
| 4 | 2007 | 9 | |
| 5 | 2006 | 8 | |
| 6 | 2012 | 7 | |
| 7 | Advanced Methods and Technologies for Agent and Multi-Agent Systems | 2013 | 5 |
| 8 | 2003 | 5 | |
| 9 | 2008 | 4 | |
| 10 | 1997 | 3 | |
| 11 | 2005 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 |
About Dariusz Barbucha
Dariusz Barbucha is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering, Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology, having authored 15 papers that have together received 95 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (7 papers), Transportation and Mobility Innovations (6 papers), Metaheuristic Optimization Algorithms Research (5 papers), Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers), Bioinformatics and Genomic Networks (2 papers), Risk and Safety Analysis (1 paper) and Facility Location and Emergency Management (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (54 citations), Automotive Engineering (27 citations), Transportation (8 citations), Building and Construction (14 citations) and Artificial Intelligence (30 citations). Dariusz Barbucha has collaborated with scholars based in Poland, United States and Indonesia. Frequent co-authors include Piotr Jędrzejowicz, Ngoc Thanh Nguyên, Ireneusz Czarnowski, Lakhmi C. Jain, Robert J. Howlett, Adam Krężel and Juliusz B. Gajewski. Their work appears in journals such as Neurocomputing, European Journal of Operational Research, Expert Systems with Applications, Scientific Reports and Studies in computational intelligence.
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.