Mark Wineberg

495 citations
38 papers · 383 · h-index 10

Impact in

Papers in

Mark Wineberg

31 papers receiving 358 citations

Peers

Mark Wineberg
Comparison fields: 5 of 66
  • Computational Theory and Mathematics 144
  • Artificial Intelligence 233
  • Water Science and Technology 67
  • Environmental Engineering 59
  • Industrial and Manufacturing Engineering 21
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Citations per field
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Citations per year

Countries citing papers authored by Mark Wineberg

Since Specialization
Citations

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

Fields of papers citing papers by Mark Wineberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Mark Wineberg, 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 Mark Wineberg Line = papers co-authored together Mark Wineberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Shifting Balance Genetic Algorithm: improving the GA in a dynamic environment
199992
2 201049
3 200347
4 200039
5 201123
6 200318
7 199417
8 200615
9 201212
10 201110
11 20037
12 20027
13 20096
14 20045
15 20045
16 20164
17
A Comparison between Dynamic Weighted Aggregation and NSGA-II for Multi-Objective Evolutionary Algorithms.
20053
18 20123
19 20062
20 20102

About Mark Wineberg

Mark Wineberg is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Genetics, Molecular Biology and Ocean Engineering, having authored 38 papers that have together received 383 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (28 papers), Metaheuristic Optimization Algorithms Research (23 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Evolution and Genetic Dynamics (6 papers), Water resources management and optimization (3 papers), VLSI and FPGA Design Techniques (3 papers), Hydrology and Watershed Management Studies (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Computational Theory and Mathematics (144 citations), Artificial Intelligence (233 citations), Water Science and Technology (67 citations), Environmental Engineering (59 citations) and Industrial and Manufacturing Engineering (21 citations). Mark Wineberg has collaborated with scholars based in Canada. Frequent co-authors include Franz Oppacher, Gift Dumedah, Aaron Berg, Yao Wang, Jun Chen, Steffen Christensen, Gary Gréwal and Christian Fobel. Their work appears in journals such as Genetic Programming and Evolvable Machines, Water Resources Management, Journal of Hydrometeorology, Journal of Hydroinformatics and Journal of Hydrologic Engineering.

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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