Hugo Simão

1.2k total citations
38 papers, 827 citations indexed

About

Hugo Simão is a scholar working on Transportation, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Hugo Simão has authored 38 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Transportation, 8 papers in Management Science and Operations Research and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Hugo Simão's work include Transportation Planning and Optimization (8 papers), Transportation and Mobility Innovations (7 papers) and Simulation Techniques and Applications (7 papers). Hugo Simão is often cited by papers focused on Transportation Planning and Optimization (8 papers), Transportation and Mobility Innovations (7 papers) and Simulation Techniques and Applications (7 papers). Hugo Simão collaborates with scholars based in United States, Portugal and Brazil. Hugo Simão's co-authors include Warren B. Powell, Belgacem Bouzaïene-Ayari, Cristina L. Archer, Joel A. Shapiro, Abraham George, Willett Kempton, Michael J. Dvorak, Warren R. Scott, Ning Shi and Raymond K. Cheung and has published in prestigious journals such as Renewable Energy, Bulletin of the American Meteorological Society and IEEE Transactions on Smart Grid.

In The Last Decade

Hugo Simão

37 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hugo Simão United States	15	258	182	181	124	117	38	827
Peng Tian China	12	475 1.8×	194 1.1×	132 0.7×	71 0.6×	140 1.2×	51	875
Laurent Delahoche France	13	126 0.5×	80 0.4×	151 0.8×	58 0.5×	153 1.3×	59	680
Elsevier Sdol	8	150 0.6×	213 1.2×	76 0.4×	276 2.2×	171 1.5×	8	1.1k
Lefei Li China	17	147 0.6×	232 1.3×	82 0.5×	201 1.6×	202 1.7×	59	891
Hai Jiang China	18	161 0.6×	172 0.9×	47 0.3×	294 2.4×	205 1.8×	65	914
Bruno F. Santos Netherlands	19	299 1.2×	124 0.7×	37 0.2×	274 2.2×	161 1.4×	67	1.0k
Majid Salari Iran	17	576 2.2×	209 1.1×	50 0.3×	65 0.5×	216 1.8×	47	832
Gustavo Gatica Chile	9	593 2.3×	335 1.8×	78 0.4×	106 0.9×	242 2.1×	77	885
Jairo R. Coronado-Hernández Colombia	9	553 2.1×	290 1.6×	49 0.3×	95 0.8×	207 1.8×	52	824
Natalia Kliewer Germany	17	646 2.5×	569 3.1×	238 1.3×	426 3.4×	192 1.6×	52	1.2k

Countries citing papers authored by Hugo Simão

Since Specialization

Citations

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

Fields of papers citing papers by Hugo Simão

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Simão

This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Simão. A scholar is included among the top collaborators of Hugo Simão 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 Hugo Simão. Hugo Simão is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Reig, Samantha, Hugo Simão, Na‐Ra Han, et al.. (2025). Unremarkable to Remarkable AI Agent: Exploring Boundaries of Agent Intervention for Adults With and Without Cognitive Impairment. Proceedings of the ACM on Human-Computer Interaction. 9(2). 1–26.

Simão, Hugo, et al.. (2025). Awareness in Collaborative Mixed-Visual Ability Tangible Programming Activities. 1–15. 1 indexed citations

Han, Na‐Ra, Hugo Simão, Samantha Reig, et al.. (2024). Dynamic Agent Affiliation: Who Should the AI Agent Work for in the Older Adult's Care Network?. Designing Interactive Systems Conference. 1774–1788. 5 indexed citations

Simão, Hugo, et al.. (2024). “I Want to Send a Message to My Friend”: Exploring the Shift of Agency to Older Adults in HRI. International Journal of Social Robotics. 16(8). 1721–1734. 2 indexed citations

Badia, Sergi Bermúdez i, Élvio Rúbio Gouveia, Mónica S. Cameirão, et al.. (2019). Custom-made exergames for older people: New inputs for multidimensional physical. 4 indexed citations

Simão, Hugo, et al.. (2018). GeeBot. VBN Forskningsportal (Aalborg Universitet). 365–366. 2 indexed citations

Simão, Hugo, Pedro Ribeiro, Plínio Moreno, et al.. (2018). Experiments with Vizzy as a Coach for Elderly Exercise. Data Archiving and Networked Services (DANS). 9 indexed citations

Archer, Cristina L., Hugo Simão, Willett Kempton, Warren B. Powell, & Michael J. Dvorak. (2016). The challenge of integrating offshore wind power in the U.S. electric grid. Part I: Wind forecast error. Renewable Energy. 103. 346–360. 68 indexed citations

Simão, Hugo, et al.. (2013). A Robust Solution to the Load Curtailment Problem. IEEE Transactions on Smart Grid. 4(4). 2209–2219. 13 indexed citations

10.

Powell, Warren B., Hugo Simão, & Belgacem Bouzaïene-Ayari. (2012). Approximate dynamic programming in transportation and logistics: a unified framework. EURO Journal on Transportation and Logistics. 1(3). 237–284. 66 indexed citations

11.

Scott, Warren R., Warren B. Powell, & Hugo Simão. (2010). Calibrating simulation models using the knowledge gradient with continuous parameters. Winter Simulation Conference. 1099–1109. 2 indexed citations

12.

Simão, Hugo, et al.. (2010). Approximate Dynamic Programming Captures Fleet Operations for Schneider National. INFORMS Journal on Applied Analytics. 40(5). 342–352. 28 indexed citations

13.

Frazier, Peter I., Warren B. Powell, & Hugo Simão. (2009). Simulation model calibration with correlated knowledge-gradients. Proceedings of the 2009 Winter Simulation Conference (WSC). 605. 339–351. 4 indexed citations

14.

Simão, Hugo, et al.. (2008). An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application. Transportation Science. 43(2). 178–197. 117 indexed citations

15.

Powell, Warren B., et al.. (2004). Using low-dimensional patterns in optimizing simulators: An illustration for the military airlift problem. Mathematical and Computer Modelling. 39(6-8). 657–675. 3 indexed citations

16.

Nijegorodov, N., K. Devan, Hugo Simão, & Richard Mabbs. (2003). Comprehensive study of solar conditions in Mozambique: the effect of trade winds on solar components. Renewable Energy. 28(12). 1965–1983. 8 indexed citations

17.

Powell, Warren B., Joel A. Shapiro, & Hugo Simão. (2002). An Adaptive Dynamic Programming Algorithm for the Heterogeneous Resource Allocation Problem. Transportation Science. 36(2). 231–249. 38 indexed citations

18.

Powell, Warren B., et al.. (1995). Dynamic fleet management as a logistics queueing network. Annals of Operations Research. 61(1). 165–188. 19 indexed citations

19.

Simão, Hugo & Warren B. Powell. (1988). Waiting time distributions for transient bulk queues with general vehicle dispatching strategies. Naval Research Logistics (NRL). 35(2). 285–306. 2 indexed citations

20.

Powell, Warren B. & Hugo Simão. (1986). Numerical simulation of transient bulk queues with general vehicle dispatching strategies. Transportation Research Part B Methodological. 20(6). 477–490. 8 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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