Nikolaos Trichakis

3.0k total citations · 2 hit papers
43 papers, 2.0k citations indexed

About

Nikolaos Trichakis is a scholar working on Management Information Systems, Management Science and Operations Research and Surgery. According to data from OpenAlex, Nikolaos Trichakis has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Information Systems, 12 papers in Management Science and Operations Research and 8 papers in Surgery. Recurrent topics in Nikolaos Trichakis's work include Supply Chain and Inventory Management (13 papers), Organ Transplantation Techniques and Outcomes (7 papers) and Risk and Portfolio Optimization (7 papers). Nikolaos Trichakis is often cited by papers focused on Supply Chain and Inventory Management (13 papers), Organ Transplantation Techniques and Outcomes (7 papers) and Risk and Portfolio Optimization (7 papers). Nikolaos Trichakis collaborates with scholars based in United States, France and United Kingdom. Nikolaos Trichakis's co-authors include Dimitris Bertsimas, Vivek F. Farias, Jiri Chod, Gerry Tsoukalas, Mark Weber, Dan A. Iancu, S. Alex Yang, Parsia A. Vagefi, Ryutaro Hirose and S. T. P. Boyd and has published in prestigious journals such as Management Science, Operations Research and Transplantation.

In The Last Decade

Nikolaos Trichakis

41 papers receiving 1.9k citations

Hit Papers

On the Financing Benefits of S... 2011 2026 2016 2021 2020 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolaos Trichakis United States 19 598 452 428 414 333 43 2.0k
Asil Oztekin United States 28 279 0.5× 194 0.4× 288 0.7× 536 1.3× 265 0.8× 64 2.2k
Stephen G. Powell United States 28 661 1.1× 207 0.5× 253 0.6× 353 0.9× 141 0.4× 65 1.8k
Tillal Eldabi United Kingdom 27 621 1.0× 149 0.3× 291 0.7× 786 1.9× 431 1.3× 129 2.9k
Richard Y.K. Fung Hong Kong 33 688 1.2× 174 0.4× 395 0.9× 1.2k 2.8× 82 0.2× 151 3.8k
Matthew J. Liberatore United States 29 696 1.2× 171 0.4× 483 1.1× 1.1k 2.7× 241 0.7× 104 2.8k
Michael Pidd United Kingdom 29 1.2k 1.9× 261 0.6× 415 1.0× 1.8k 4.3× 500 1.5× 116 4.1k
Ray J. Paul United Kingdom 30 820 1.4× 322 0.7× 173 0.4× 907 2.2× 165 0.5× 174 2.6k
Xiaolan Xie France 36 1.8k 2.9× 114 0.3× 452 1.1× 828 2.0× 272 0.8× 274 5.7k
Yuehwern Yih United States 31 222 0.4× 103 0.2× 173 0.4× 272 0.7× 175 0.5× 146 2.8k
Edieal J. Pinker United States 21 729 1.2× 66 0.1× 314 0.7× 548 1.3× 328 1.0× 67 1.6k

Countries citing papers authored by Nikolaos Trichakis

Since Specialization
Citations

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

Fields of papers citing papers by Nikolaos Trichakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolaos Trichakis

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolaos Trichakis. A scholar is included among the top collaborators of Nikolaos Trichakis 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 Nikolaos Trichakis. Nikolaos Trichakis 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.
Wood, Nicholas L., et al.. (2024). Targeted Broader Sharing for Liver Continuous Distribution. Transplantation. 109(1). e36–e44. 2 indexed citations
2.
Bertsimas, Dimitris, et al.. (2023). Applying Analytics to Design Lung Transplant Allocation Policy. RePEc: Research Papers in Economics. 53(5). 350–358. 2 indexed citations
3.
Bertsimas, Dimitris, et al.. (2023). Reshaping National Organ Allocation Policy. Operations Research. 72(4). 1475–1486. 7 indexed citations
4.
Bertazzi, Luca, et al.. (2023). Dynamic Project Expediting: A Stochastic Shortest-Path Approach. Management Science. 70(6). 3748–3768. 5 indexed citations
5.
Bertsimas, Dimitris, et al.. (2023). Pareto Adaptive Robust Optimality via a Fourier–Motzkin Elimination lens. Mathematical Programming. 205(1-2). 485–538. 2 indexed citations
6.
Chod, Jiri, Nikolaos Trichakis, & S. Alex Yang. (2022). Platform Tokenization: Financing, Governance, and Moral Hazard. Management Science. 68(9). 6411–6433. 66 indexed citations
7.
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, et al.. (2022). Forecasting COVID-19 and Analyzing the Effect of Government Interventions. Operations Research. 71(1). 184–201. 24 indexed citations
8.
Chod, Jiri, Mihalis G. Markakis, & Nikolaos Trichakis. (2021). On the Learning Benefits of Resource Flexibility. Management Science. 67(10). 6513–6528. 7 indexed citations
9.
Chod, Jiri, et al.. (2020). On the Financing Benefits of Supply Chain Transparency and Blockchain Adoption. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations
10.
Chen, Yiwei & Nikolaos Trichakis. (2020). Technical Note—On Revenue Management with Strategic Customers Choosing When and What to Buy. Operations Research. 69(1). 175–187. 2 indexed citations
11.
Chod, Jiri, et al.. (2020). On the Financing Benefits of Supply Chain Transparency and Blockchain Adoption. Management Science. 66(10). 4378–4396. 462 indexed citations breakdown →
12.
Vagefi, Parsia A., Dimitris Bertsimas, Ryutaro Hirose, & Nikolaos Trichakis. (2020). The rise and fall of the model for end-stage liver disease score and the need for an optimized machine learning approach for liver allocation. Current Opinion in Organ Transplantation. 25(2). 122–125. 7 indexed citations
13.
Chod, Jiri, Nikolaos Trichakis, & Gerry Tsoukalas. (2019). Supplier Diversification Under Buyer Risk. Management Science. 65(7). 3150–3173. 56 indexed citations
14.
Simchi‐Levi, David, Nikolaos Trichakis, & Peter Zhang. (2019). Designing Response Supply Chain Against Bioattacks. Operations Research. 67(5). 1246–1268. 23 indexed citations
15.
Chen, Yiwei, Vivek F. Farias, & Nikolaos Trichakis. (2019). On the Efficacy of Static Prices for Revenue Management in the Face of Strategic Customers. Management Science. 65(12). 5535–5555. 28 indexed citations
16.
Chod, Jiri, Nikolaos Trichakis, & S. Alex Yang. (2019). Platform Tokenization: Financing, Governance, and Moral Hazard. SSRN Electronic Journal. 28 indexed citations
17.
Mandelbaum, Avishai, et al.. (2019). Data-Driven Appointment-Scheduling Under Uncertainty: The Case of an Infusion Unit in a Cancer Center. Management Science. 66(1). 243–270. 43 indexed citations
18.
Iancu, Dan A., et al.. (2019). Loyalty Program Liabilities and Point Values. Manufacturing & Service Operations Management. 22(2). 257–272. 18 indexed citations
19.
Bertsimas, Dimitris, et al.. (2018). Development and validation of an optimized prediction of mortality for candidates awaiting liver transplantation. American Journal of Transplantation. 19(4). 1109–1118. 89 indexed citations
20.
Bertsimas, Dimitris, Vivek F. Farias, & Nikolaos Trichakis. (2012). On the Efficiency-Fairness Trade-off. Management Science. 58(12). 2234–2250. 207 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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