Ambrose Goicoechea
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- Multi-Criteria Decision Making 6
- Ocean Engineering top 5%
- Water resources management and optimization 7
- Control and Systems Engineering top 10%
- Optimization and Mathematical Programming 5
- Statistics and Probability top 10%
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- Water Quality and Resources Studies 1
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- Economic theories and models 1
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- Bayesian Modeling and Causal Inference 1
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- Advanced Multi-Objective Optimization Algorithms 1
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- Flood Risk Assessment and Management 1
- Co-authors
- Lucien DucksteinDon R. HansenSimon FrenchMartin M. FogelEugene Z. StakhivFu LiStanley ZiontsR. L. HENRICKSON
- Partner nations
- United States
In The Last Decade
Ambrose Goicoechea
16 papers receiving 356 citations
Peers
Comparison fields: 5 of 79
- Management Science and Operations Research 160
- Ocean Engineering 129
- Control and Systems Engineering 119
- Statistics and Probability 34
- Water Science and Technology 57
Countries citing papers authored by Ambrose Goicoechea
This map shows the geographic impact of Ambrose Goicoechea'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 Ambrose Goicoechea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambrose Goicoechea more than expected).
Fields of papers citing papers by Ambrose Goicoechea
This network shows the impact of papers produced by Ambrose Goicoechea. 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 Ambrose Goicoechea. The network helps show where Ambrose Goicoechea may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Ambrose Goicoechea, 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 | 1993 | 1 | |
| 2 | Multiple criteria decision making : proceedings of the Ninth international conference : theory and applications in business, industry, and government | 1992 | 11 |
| 3 | 1992 | 22 | |
| 4 | 1988 | 9 | |
| 5 | 1987 | 17 | |
| 6 | 1983 | 1 | |
| 7 | 1983 | 216 | |
| 8 | 1983 | 2 | |
| 9 | 1982 | 23 | |
| 10 | 1981 | 2 | |
| 11 | 1980 | 1 | |
| 12 | 1979 | 31 | |
| 13 | 1979 | 3 | |
| 14 | 1978 | 12 | |
| 15 | A multi-objective, stochastic programming model in watershed management | 1977 | 4 |
| 16 | 1976 | 32 |
About Ambrose Goicoechea
Ambrose Goicoechea is a scholar working on Management Science and Operations Research, Ocean Engineering and Control and Systems Engineering, having authored 16 papers that have together received 387 indexed citations. Recurring topics across this work include Water resources management and optimization (7 papers), Multi-Criteria Decision Making (6 papers), Optimization and Mathematical Programming (5 papers), Economic theories and models (1 paper), Water Quality and Resources Studies (1 paper), Bayesian Modeling and Causal Inference (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper) and Flood Risk Assessment and Management (1 paper). The work is most often cited by research in Management Science and Operations Research (160 citations), Ocean Engineering (129 citations) and Control and Systems Engineering (119 citations). Ambrose Goicoechea has collaborated with scholars based in United States. Frequent co-authors include Lucien Duckstein, Don R. Hansen, Simon French, Martin M. Fogel, Eugene Z. Stakhiv, Fu Li, Stanley Zionts, R. L. HENRICKSON and Éric Parent.
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.