Hiba Baroud

1.5k total citations
56 papers, 1.1k citations indexed

About

Hiba Baroud is a scholar working on Civil and Structural Engineering, Sociology and Political Science and Statistics, Probability and Uncertainty. According to data from OpenAlex, Hiba Baroud has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Civil and Structural Engineering, 18 papers in Sociology and Political Science and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Hiba Baroud's work include Infrastructure Resilience and Vulnerability Analysis (29 papers), Disaster Management and Resilience (14 papers) and Risk and Safety Analysis (12 papers). Hiba Baroud is often cited by papers focused on Infrastructure Resilience and Vulnerability Analysis (29 papers), Disaster Management and Resilience (14 papers) and Risk and Safety Analysis (12 papers). Hiba Baroud collaborates with scholars based in United States, Iran and Venezuela. Hiba Baroud's co-authors include Kash Barker, José Emmanuel Ramírez-Márquez, Claudio M. Rocco, Claudio M. Rocco S., Mark Abkowitz, Matthew Volovski, Tariq Usman Saeed, Thomas A. Hall, Katherine S. Nelson and George M. Hornberger and has published in prestigious journals such as PLoS ONE, Scientific Reports and Applied Energy.

In The Last Decade

Hiba Baroud

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiba Baroud United States 21 549 277 251 190 158 56 1.1k
Reza Faturechi United States 7 804 1.5× 235 0.8× 227 0.9× 54 0.3× 211 1.3× 10 1.1k
José Emmanuel Ramirez‐Marquez United States 5 914 1.7× 411 1.5× 265 1.1× 118 0.6× 288 1.8× 7 1.3k
Wolfgang Kröger Switzerland 15 594 1.1× 313 1.1× 331 1.3× 148 0.8× 137 0.9× 42 1.4k
Royce A. Francis United States 11 725 1.3× 325 1.2× 153 0.6× 117 0.6× 156 1.0× 34 1.2k
Ningxiong Xu United States 15 311 0.6× 121 0.4× 78 0.3× 127 0.7× 148 0.9× 34 929
Raghav Pant United Kingdom 20 788 1.4× 273 1.0× 280 1.1× 49 0.3× 237 1.5× 43 1.4k
Timothy C. Matisziw United States 21 485 0.9× 114 0.4× 163 0.6× 52 0.3× 163 1.0× 49 1.6k
Henry H. Willis United States 19 309 0.6× 243 0.9× 408 1.6× 53 0.3× 104 0.7× 91 1.2k
Dulcy M. Abraham United States 28 1.5k 2.7× 177 0.6× 166 0.7× 140 0.7× 224 1.4× 131 2.7k
Qing-Chang Lu China 24 495 0.9× 87 0.3× 189 0.8× 76 0.4× 99 0.6× 71 1.7k

Countries citing papers authored by Hiba Baroud

Since Specialization
Citations

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

Fields of papers citing papers by Hiba Baroud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiba Baroud

This figure shows the co-authorship network connecting the top 25 collaborators of Hiba Baroud. A scholar is included among the top collaborators of Hiba Baroud 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 Hiba Baroud. Hiba Baroud 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.
Patel, Rupal, et al.. (2025). Health and Climate at COP29: Advancing Integration and Bridging Research Gaps. Annals of Global Health. 91(1). 66–66.
2.
Baroud, Hiba, et al.. (2025). Variance-based sensitivity analysis of climate variability impact on crop yield using machine learning: A case study in Jordan. Agricultural Water Management. 313. 109409–109409.
3.
Baroud, Hiba, et al.. (2024). Limitations and considerations of using composite indicators to measure vulnerability to natural hazards. Scientific Reports. 14(1). 19333–19333. 8 indexed citations
4.
Baroud, Hiba, et al.. (2023). A data-driven risk assessment of Arctic maritime incidents: Using machine learning to predict incident types and identify risk factors. Reliability Engineering & System Safety. 243. 109779–109779. 54 indexed citations
5.
Johnson, Paul, Hiba Baroud, Corey Brady, & Mark Abkowitz. (2023). Who contributes to disaster preparedness? Predicting decision making in social dilemmas pertaining to community resilience. Risk Analysis. 43(12). 2659–2670. 1 indexed citations
6.
Johnson, Paul, William Barbour, Janey Camp, & Hiba Baroud. (2022). Using machine learning to examine freight network spatial vulnerabilities to disasters: A new take on partial dependence plots. Transportation Research Interdisciplinary Perspectives. 14. 100617–100617. 20 indexed citations
7.
Burton, Henry V., et al.. (2022). Bayesian parameter estimation of duration‐based variables used in post‐earthquake building recovery modeling. Earthquake Spectra. 38(3). 2088–2108. 4 indexed citations
8.
Reilly, Allison, et al.. (2022). Predicting flood damage using the flood peak ratio and Giovanni Flooded Fraction. PLoS ONE. 17(8). e0271230–e0271230. 6 indexed citations
9.
Baroud, Hiba, et al.. (2022). Planning for temporary housing through multicriteria decision analysis. Journal of Housing and the Built Environment. 38(1). 541–576. 2 indexed citations
10.
Wang, Yu, et al.. (2021). Generating Synthetic Systems of Interdependent Critical Infrastructure Networks. IEEE Systems Journal. 16(2). 3191–3202. 7 indexed citations
11.
Lu, Di, Alejandro Jaimes, Hiba Baroud, et al.. (2021). A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management. Accident Analysis & Prevention. 165. 106501–106501. 27 indexed citations
12.
Dhulipala, Somayajulu L. N., Henry V. Burton, & Hiba Baroud. (2021). A Markov framework for generalized post-event systems recovery modeling: From single to multihazards. Structural Safety. 91. 102091–102091. 24 indexed citations
13.
Baroud, Hiba, et al.. (2021). Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response. 424–429. 4 indexed citations
14.
Baroud, Hiba, et al.. (2019). Multicriteria Decision Analysis of Drinking Water Source Selection in Southwestern Bangladesh. Journal of Water Resources Planning and Management. 145(4). 20 indexed citations
15.
Dubey, Abhishek, et al.. (2018). Short-Term Transit Decision Support System Using Multi-task Deep Neural Networks. 103. 155–162. 3 indexed citations
16.
Baroud, Hiba, et al.. (2016). Multicriteria Decision Analysis of Freshwater Resource Management in Southwestern Bangladesh. AGUFM. 2016. 1 indexed citations
17.
Baroud, Hiba. (2015). BAYESIAN KERNEL METHODS FOR THE RISK ANALYSIS AND RESILIENCE MODELING OF CRITICAL INFRASTRUCTURE SYSTEMS. SHAREOK (University of Oklahoma). 1 indexed citations
18.
Barker, Kash & Hiba Baroud. (2014). Proportional hazards models of infrastructure system recovery. Reliability Engineering & System Safety. 124. 201–206. 41 indexed citations
19.
Baroud, Hiba, José Emmanuel Ramírez-Márquez, Kash Barker, & Claudio M. Rocco. (2014). Stochastic Measures of Network Resilience: Applications to Waterway Commodity Flows. Risk Analysis. 34(7). 1317–1335. 121 indexed citations
20.
Baroud, Hiba, Kash Barker, José Emmanuel Ramírez-Márquez, & Claudio M. Rocco. (2014). Inherent Costs and Interdependent Impacts of Infrastructure Network Resilience. Risk Analysis. 35(4). 642–662. 71 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026