Geert De Maere

477 total citations
21 papers, 348 citations indexed

About

Geert De Maere is a scholar working on General Economics, Econometrics and Finance, Aerospace Engineering and Management Science and Operations Research. According to data from OpenAlex, Geert De Maere has authored 21 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Economics, Econometrics and Finance, 8 papers in Aerospace Engineering and 7 papers in Management Science and Operations Research. Recurrent topics in Geert De Maere's work include Aviation Industry Analysis and Trends (8 papers), Air Traffic Management and Optimization (7 papers) and Vehicle Routing Optimization Methods (6 papers). Geert De Maere is often cited by papers focused on Aviation Industry Analysis and Trends (8 papers), Air Traffic Management and Optimization (7 papers) and Vehicle Routing Optimization Methods (6 papers). Geert De Maere collaborates with scholars based in United Kingdom, Singapore and Spain. Geert De Maere's co-authors include Imo Eyoh, Robert John, Edmund Burke, Jason Atkin, Erdal Kayacan, Patrick De Causmaecker, Greet Vanden Berghe, John S. Greenwood, Christopher Bayliss and Hervé Morvan and has published in prestigious journals such as Journal of the Operational Research Society, IEEE Transactions on Fuzzy Systems and Computers & Operations Research.

In The Last Decade

Geert De Maere

20 papers receiving 335 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Geert De Maere United Kingdom 9 136 107 99 95 91 21 348
Michael Kolonko Germany 11 136 1.0× 53 0.5× 30 0.3× 174 1.8× 51 0.6× 30 401
S.D. Hill United States 11 55 0.4× 54 0.5× 35 0.4× 45 0.5× 171 1.9× 37 324
Olivier Briant France 9 38 0.3× 100 0.9× 68 0.7× 189 2.0× 32 0.4× 12 359
Yury Nikulin Finland 9 18 0.1× 155 1.4× 103 1.0× 194 2.0× 91 1.0× 26 348
Giovanni Andreatta Italy 13 10 0.1× 227 2.1× 210 2.1× 153 1.6× 59 0.6× 33 481
C. Alexopoulos United States 7 33 0.2× 87 0.8× 3 0.0× 38 0.4× 67 0.7× 15 353
Vadim Romanuke Poland 9 65 0.5× 22 0.2× 4 0.0× 60 0.6× 56 0.6× 98 295
M.H. Lim Singapore 9 228 1.7× 19 0.2× 3 0.0× 86 0.9× 40 0.4× 26 374
Gabriele Sigismondi United States 6 22 0.2× 96 0.9× 110 1.1× 368 3.9× 83 0.9× 7 549
Shafagh Jafer United States 10 79 0.6× 41 0.4× 21 0.2× 10 0.1× 142 1.6× 48 323

Countries citing papers authored by Geert De Maere

Since Specialization
Citations

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

Fields of papers citing papers by Geert De Maere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geert De Maere. 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 Geert De Maere. The network helps show where Geert De Maere may publish in the future.

Co-authorship network of co-authors of Geert De Maere

This figure shows the co-authorship network connecting the top 25 collaborators of Geert De Maere. A scholar is included among the top collaborators of Geert De Maere 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 Geert De Maere. Geert De Maere 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
1.
Maere, Geert De, et al.. (2023). Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon. Engineering Applications of Artificial Intelligence. 128. 107465–107465. 3 indexed citations
2.
Atkin, Jason, et al.. (2023). Analysing the benefits of trajectory deviations for planar trajectory optimisation. Annals of Operations Research. 326(1). 537–560. 1 indexed citations
3.
Bayliss, Christopher, et al.. (2019). Scheduling airline reserve crew using a probabilistic crew absence and recovery model. Journal of the Operational Research Society. 71(4). 543–565. 13 indexed citations
4.
Argyle, Elizabeth M., Robert Houghton, Jason Atkin, et al.. (2018). Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach. Cognition Technology & Work. 20(3). 425–441. 3 indexed citations
5.
Eyoh, Imo, Robert John, Geert De Maere, & Erdal Kayacan. (2018). Hybrid Learning for Interval Type-2 Intuitionistic Fuzzy Logic Systems as Applied to Identification and Prediction Problems. IEEE Transactions on Fuzzy Systems. 26(5). 2672–2685. 77 indexed citations
6.
Eyoh, Imo, Robert John, & Geert De Maere. (2017). Time series forecasting with interval type-2 intuitionistic fuzzy logic systems. Repository@Nottingham (University of Nottingham). 1 indexed citations
7.
Eyoh, Imo, Robert John, & Geert De Maere. (2017). Interval Type-2 A-Intuitionistic Fuzzy Logic for Regression Problems. IEEE Transactions on Fuzzy Systems. 26(4). 2396–2408. 39 indexed citations
8.
Maere, Geert De, Jason Atkin, & Edmund Burke. (2017). Pruning Rules for Optimal Runway Sequencing. Transportation Science. 52(4). 898–916. 17 indexed citations
9.
Eyoh, Imo, Robert John, & Geert De Maere. (2017). Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system. Nottingham ePrints (University of Nottingham). 728–733. 8 indexed citations
10.
11.
Eyoh, Imo, Robert John, & Geert De Maere. (2016). Interval type-2 intuitionistic fuzzy logic system for non-linear system prediction. 1063–1068. 24 indexed citations
12.
Bayliss, Christopher, et al.. (2016). A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty. Annals of Operations Research. 252(2). 335–363. 16 indexed citations
13.
14.
Atkin, Jason, Geert De Maere, Edmund Burke, & John S. Greenwood. (2012). Addressing the Pushback Time Allocation Problem at Heathrow Airport. Transportation Science. 47(4). 584–602. 35 indexed citations
15.
Bayliss, Christopher, et al.. (2012). Probabilistic Airline Reserve Crew Scheduling Model. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 4 indexed citations
16.
Burke, Edmund, et al.. (2009). A multi-objective approach for robust airline scheduling. Computers & Operations Research. 37(5). 822–832. 81 indexed citations
17.
Burke, Edmund, et al.. (2006). A new time window model for integrated optimisation of airline schedules for robustness. 1 indexed citations
18.
Burke, Edmund, et al.. (2006). Feature based prediction for airline schedule robustness. 1 indexed citations
19.
Burke, Edmund, et al.. (2005). Forecasting Flight Schedule Robustness. 2. 698–700. 2 indexed citations
20.
Burke, Edmund, et al.. (2004). A new meta-heuristic framework for dynamic selection of forecasting models to determine airline schedule robustness. 1 indexed citations

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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