Kash Barker

7.3k total citations · 5 hit papers
127 papers, 5.5k citations indexed

About

Kash Barker is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Strategy and Management. According to data from OpenAlex, Kash Barker has authored 127 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Civil and Structural Engineering, 52 papers in Statistics, Probability and Uncertainty and 35 papers in Strategy and Management. Recurrent topics in Kash Barker's work include Infrastructure Resilience and Vulnerability Analysis (75 papers), Risk and Safety Analysis (50 papers) and Supply Chain Resilience and Risk Management (31 papers). Kash Barker is often cited by papers focused on Infrastructure Resilience and Vulnerability Analysis (75 papers), Risk and Safety Analysis (50 papers) and Supply Chain Resilience and Risk Management (31 papers). Kash Barker collaborates with scholars based in United States, Venezuela and Mexico. Kash Barker's co-authors include Seyedmohsen Hosseini, José Emmanuel Ramirez‐Marquez, José Emmanuel Ramírez-Márquez, Claudio M. Rocco, Yasser Almoghathawi, Joost R. Santos, Hiba Baroud, Raghav Pant, Cameron A. MacKenzie and Andrés D. González and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Kash Barker

120 papers receiving 5.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review of definitions and measures of system resilience

2015 1.3k citations Seyedmohsen Hosseini, Kash Barker et al. Reliability Engineering & System Safety profile →
Resilient supplier selection and optimal order allocation under disruption risks

2019 307 citations Seyedmohsen Hosseini, Dmitry Ivanov et al. International Journal of Production Economics profile →
Modeling infrastructure resilience using Bayesian networks: A case study of inland waterway ports

2016 302 citations Seyedmohsen Hosseini, Kash Barker profile →
Resilience-based network component importance measures

2013 293 citations Kash Barker, José Emmanuel Ramírez-Márquez et al. Reliability Engineering & System Safety profile →
A Bayesian network model for resilience-based supplier selection

2016 260 citations Seyedmohsen Hosseini, Kash Barker International Journal of Production Economics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kash Barker United States	34	3.4k	1.7k	1.6k	972	823	127	5.5k
James H. Lambert United States	35	1.9k 0.6×	1.2k 0.7×	609 0.4×	770 0.8×	477 0.6×	225	4.7k
José Emmanuel Ramírez-Márquez United States	38	2.3k 0.7×	1.9k 1.1×	752 0.5×	517 0.5×	949 1.2×	168	5.3k
Seyedmohsen Hosseini United States	22	1.6k 0.5×	962 0.6×	2.5k 1.5×	403 0.4×	461 0.6×	36	5.0k
Elise Miller-Hooks United States	37	1.7k 0.5×	581 0.3×	749 0.5×	481 0.5×	751 0.9×	122	5.8k
Joost R. Santos United States	28	1.8k 0.5×	852 0.5×	838 0.5×	775 0.8×	307 0.4×	96	2.9k
Vicki M. Bier United States	33	1.5k 0.4×	1.2k 0.7×	274 0.2×	871 0.9×	488 0.6×	108	3.6k
Christopher W. Zobel United States	29	848 0.2×	407 0.2×	1.2k 0.7×	493 0.5×	270 0.3×	87	2.8k
Linda K. Nozick United States	32	631 0.2×	342 0.2×	301 0.2×	346 0.4×	359 0.4×	139	3.0k
Željko Stević Bosnia and Herzegovina	44	418 0.1×	277 0.2×	1.9k 1.2×	211 0.2×	1.0k 1.2×	205	7.2k
Rajan Batta United States	38	354 0.1×	693 0.4×	332 0.2×	332 0.3×	563 0.7×	170	5.6k

Countries citing papers authored by Kash Barker

Since Specialization

Citations

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

Fields of papers citing papers by Kash Barker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kash Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Kash Barker. A scholar is included among the top collaborators of Kash Barker 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 Kash Barker. Kash Barker 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

Rocco, Claudio M., et al.. (2025). Sensitivity, criticality, and optimization in bipartite networks: application in urban transit infrastructure. Environment Systems & Decisions. 45(2).

Rocco, Claudio M., Kash Barker, Sridhar Radhakrishnan, & José Emmanuel Ramírez-Márquez. (2025). Multi-objective model to protect infrastructure networks from disinformation diffusion. Social Network Analysis and Mining. 15(1).

Barker, Kash, et al.. (2025). Optimizing climate-induced migration: A temporal multi-layer network approach. International Journal of Disaster Risk Reduction. 117. 105172–105172.

Barker, Kash, et al.. (2025). Infrastructure network protection under uncertain impacts of weaponized disinformation campaigns. Physica A Statistical Mechanics and its Applications. 660. 130365–130365. 4 indexed citations

Barker, Kash, Elena Bessarabova, Sridhar Radhakrishnan, et al.. (2025). Risk analysis of disinformation weaponized against critical networks. Risk Analysis. 45(12). 4088–4096.

Barker, Kash, et al.. (2024). A hybrid machine learning and simulation framework for modeling and understanding disinformation-induced disruptions in public transit systems. Reliability Engineering & System Safety. 255. 110656–110656. 8 indexed citations

Barker, Kash, et al.. (2024). Two-stage stochastic program for environmental resettlement decision-making. Socio-Economic Planning Sciences. 93. 101875–101875. 1 indexed citations

Barker, Kash, et al.. (2023). Weaponized disinformation spread and its impact on multi-commodity critical infrastructure networks. Reliability Engineering & System Safety. 243. 109819–109819. 11 indexed citations

Rocco, Claudio M. & Kash Barker. (2023). A bi-objective model for network restoration considering fairness and graph signal-based functions. Life Cycle Reliability and Safety Engineering. 12(4). 299–307. 1 indexed citations

10.

Barker, Kash, et al.. (2023). Analyzing the tradeoff between vulnerability and recoverability investments for interdependent infrastructure networks. Socio-Economic Planning Sciences. 87. 101508–101508. 3 indexed citations

11.

Soltanisehat, Leili, Andrés D. González, & Kash Barker. (2022). Modeling social, economic, and health perspectives for optimal pandemic policy decision-making. Socio-Economic Planning Sciences. 86. 101472–101472. 1 indexed citations

12.

Barker, Kash, et al.. (2022). Protecting infrastructure performance from disinformation attacks. Scientific Reports. 12(1). 12707–12707. 11 indexed citations

13.

Almoghathawi, Yasser, et al.. (2021). Community vulnerability perspective on robust protection planning in interdependent infrastructure networks. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 235(5). 798–813. 6 indexed citations

14.

Hosseini, Seyedmohsen, et al.. (2019). Resilient supplier selection and optimal order allocation under disruption risks. International Journal of Production Economics. 213. 124–137. 307 indexed citations breakdown →

15.

Pant, Raghav, et al.. (2019). Investing in Absorptive Capacity in Interdependent Infrastructure and Industry Sectors. Journal of Infrastructure Systems. 26(1). 4 indexed citations

16.

Barker, Kash & Hiba Baroud. (2014). Proportional hazards models of infrastructure system recovery. Reliability Engineering & System Safety. 124. 201–206. 41 indexed citations

17.

Oliva, Gabriele, Roberto Setola, & Kash Barker. (2014). Fuzzy Importance Measures for Ranking Key Interdependent Sectors Under Uncertainty. IEEE Transactions on Reliability. 63(1). 42–57. 9 indexed citations

18.

Pant, Raghav, Theodore B. Trafali̇s, & Kash Barker. (2011). Support vector machine classification of uncertain and imbalanced data using robust optimization. Annual Conference on Computers. 369–374. 8 indexed citations

19.

Barker, Kash & Joost R. Santos. (2010). A Risk‐Based Approach for Identifying Key Economic and Infrastructure Systems. Risk Analysis. 30(6). 962–974. 47 indexed citations

20.

Anderson, Christopher W., Kash Barker, & Yacov Y. Haimes. (2008). Assessing and Prioritizing Critical Assets for the United States Army with a Modified RFRM Methodology. Journal of Homeland Security and Emergency Management. 5(1). 4 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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