Andrew C. Trapp

946 total citations
44 papers, 540 citations indexed

About

Andrew C. Trapp is a scholar working on Sociology and Political Science, Management Science and Operations Research and General Health Professions. According to data from OpenAlex, Andrew C. Trapp has authored 44 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 9 papers in Management Science and Operations Research and 8 papers in General Health Professions. Recurrent topics in Andrew C. Trapp's work include Facility Location and Emergency Management (6 papers), Sex work and related issues (5 papers) and Migration and Labor Dynamics (5 papers). Andrew C. Trapp is often cited by papers focused on Facility Location and Emergency Management (6 papers), Sex work and related issues (5 papers) and Migration and Labor Dynamics (5 papers). Andrew C. Trapp collaborates with scholars based in United States, United Kingdom and China. Andrew C. Trapp's co-authors include Joseph Sarkis, Renata Konrad, Oleg A. Prokopyev, Timothy M. Palmbach, Soussan Djamasbi, Randy Paffenroth, Kayse Lee Maass, Alexander Teytelboym, Vasco Sanchez Rodrigues and Irina Harris and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Andrew C. Trapp

38 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew C. Trapp United States 13 134 98 96 68 48 44 540
Hatice Camgöz Akdağ Türkiye 15 167 1.2× 201 2.1× 38 0.4× 89 1.3× 43 0.9× 41 676
Na Zhang China 14 208 1.6× 237 2.4× 36 0.4× 57 0.8× 32 0.7× 90 785
Kefan Xie China 17 125 0.9× 60 0.6× 117 1.2× 96 1.4× 40 0.8× 41 733
Lars Skyttner Sweden 7 63 0.5× 148 1.5× 97 1.0× 78 1.1× 48 1.0× 19 448
Yin Lin United Kingdom 7 64 0.5× 262 2.7× 80 0.8× 37 0.5× 40 0.8× 9 568
Naiding Yang China 18 309 2.3× 157 1.6× 57 0.6× 51 0.8× 97 2.0× 81 810
Miriam F. Bongo Philippines 12 62 0.5× 94 1.0× 47 0.5× 28 0.4× 24 0.5× 40 430
Mercedes Torres Jiménez Spain 11 60 0.4× 72 0.7× 77 0.8× 26 0.4× 26 0.5× 27 423
Shuping Zhao China 16 39 0.3× 163 1.7× 99 1.0× 26 0.4× 63 1.3× 35 662
Yi‐Hsuan Yeh Taiwan 11 46 0.3× 68 0.7× 129 1.3× 50 0.7× 28 0.6× 20 645

Countries citing papers authored by Andrew C. Trapp

Since Specialization
Citations

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

Fields of papers citing papers by Andrew C. Trapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew C. Trapp. 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 Andrew C. Trapp. The network helps show where Andrew C. Trapp may publish in the future.

Co-authorship network of co-authors of Andrew C. Trapp

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew C. Trapp. A scholar is included among the top collaborators of Andrew C. Trapp 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 Andrew C. Trapp. Andrew C. Trapp 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.
Charles, Vincent, et al.. (2024). Performance evaluation of child welfare departments using Data Envelopment Analysis: A comparative study across US states. Socio-Economic Planning Sciences. 97. 102101–102101.
2.
Zhang, Jun‐Long, Osman Y. Özaltın, & Andrew C. Trapp. (2024). Solving a class of two-stage stochastic nonlinear integer programs using value functions. Journal of Global Optimization. 91(1). 129–153.
3.
Procaccia, Ariel D., et al.. (2024). Dynamic Placement in Refugee Resettlement. Communications of the ACM. 67(5). 99–106. 1 indexed citations
4.
Maass, Kayse Lee, et al.. (2023). Estimating Effectiveness of Identifying Human Trafficking via Data Envelopment Analysis. RePEc: Research Papers in Economics. 53(6). 408–424. 3 indexed citations
5.
Faber, Brenton, et al.. (2023). Select, route and schedule: optimizing community paramedicine service delivery with mandatory visits and patient prioritization. Health Care Management Science. 26(4). 719–746. 1 indexed citations
6.
Teytelboym, Alexander, et al.. (2023). Optimizing Sponsored Humanitarian Parole. 1–13. 1 indexed citations
7.
Özaltın, Osman Y., et al.. (2023). Risk-Averse Placement Optimization in Refugee Resettlement. SSRN Electronic Journal. 1 indexed citations
8.
Konrad, Renata, et al.. (2022). Operations research and analytics to combat human trafficking: A systematic review of academic literature. PLoS ONE. 17(8). e0273708–e0273708. 1 indexed citations
9.
Maass, Kayse Lee, et al.. (2022). Discrete Event Simulation to Evaluate Shelter Capacity Expansion Options for LGBTQ+ Homeless Youth. 2022 Winter Simulation Conference (WSC). 1 indexed citations
10.
11.
Trapp, Andrew C., Renata Konrad, Joseph Sarkis, & Amy Z. Zeng. (2020). Closing the loop: Forging high-quality agile virtual enterprises in a reverse supply chain via solution portfolios. Journal of the Operational Research Society. 72(4). 908–922. 6 indexed citations
12.
Maass, Kayse Lee, Andrew C. Trapp, & Renata Konrad. (2019). Optimizing placement of residential shelters for human trafficking survivors. Socio-Economic Planning Sciences. 70. 100730–100730. 17 indexed citations
13.
Li, Yanhua, et al.. (2017). Scalable User-Substation Assignment with Big Data from Power Grids. IEEE Transactions on Big Data. 5(2). 209–222. 4 indexed citations
14.
Trapp, Andrew C., et al.. (2017). Creating a Decision Support System for Service Classification and Assignment through Optimization.. Journal of the Association for Information Systems. 2 indexed citations
15.
Djamasbi, Soussan, et al.. (2015). Does Pupillary Data Differ During Fixations and Saccades? Does it Carry Information About Task Demand?. Journal of the Association for Information Systems. 3 indexed citations
16.
Tulu, Bengisu, Andrew C. Trapp, Diane M. Strong, et al.. (2015). An analysis of patient portal utilization: what can we learn about online patient behavior by examining portal click data?. Health Systems. 5(1). 66–79. 8 indexed citations
17.
Trapp, Andrew C. & Oleg A. Prokopyev. (2014). A note on constraint aggregation and value functions for two-stage stochastic integer programs. Discrete Optimization. 15. 37–45. 8 indexed citations
18.
Trapp, Andrew C. & Joseph Sarkis. (2014). Identifying Robust portfolios of suppliers: a sustainability selection and development perspective. Journal of Cleaner Production. 112. 2088–2100. 107 indexed citations
19.
Trapp, Andrew C., Oleg A. Prokopyev, & Andrew J. Schaefer. (2013). On a Level-Set Characterization of the Value Function of an Integer Program and Its Application to Stochastic Programming. Operations Research. 61(2). 498–511. 20 indexed citations
20.
Prokopyev, Oleg A., Sergiy Butenko, & Andrew C. Trapp. (2008). Checking solvability of systems of interval linear equations and inequalities via mixed integer programming. European Journal of Operational Research. 199(1). 117–121. 19 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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