Diego Klabjan

5.1k total citations
156 papers, 3.0k citations indexed

About

Diego Klabjan is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Diego Klabjan has authored 156 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Industrial and Manufacturing Engineering, 43 papers in Artificial Intelligence and 31 papers in Management Information Systems. Recurrent topics in Diego Klabjan's work include Supply Chain and Inventory Management (29 papers), Vehicle Routing Optimization Methods (24 papers) and Advanced Manufacturing and Logistics Optimization (17 papers). Diego Klabjan is often cited by papers focused on Supply Chain and Inventory Management (29 papers), Vehicle Routing Optimization Methods (24 papers) and Advanced Manufacturing and Logistics Optimization (17 papers). Diego Klabjan collaborates with scholars based in United States, Germany and United Kingdom. Diego Klabjan's co-authors include Timothy M. Sweda, Bernardo Almada‐Lobo, George L. Nemhauser, Sergey Shebalov, Héctor González, Irina Dolinskaya, Ellis L. Johnson, Xiaolei Li, Daniel Adelman and Jiawei Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and European Journal of Operational Research.

In The Last Decade

Diego Klabjan

145 papers receiving 2.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Diego Klabjan 1.1k 673 649 485 470 156 3.0k
Anton J. Kleywegt 1.3k 1.2× 392 0.6× 267 0.4× 921 1.9× 1.3k 2.8× 42 3.9k
Tito Homem‐de‐Mello 567 0.5× 244 0.4× 452 0.7× 686 1.4× 1.4k 3.1× 66 3.4k
Michael O. Ball 1.5k 1.4× 444 0.7× 503 0.8× 639 1.3× 521 1.1× 139 5.5k
Shuo‐Yan Chou 652 0.6× 278 0.4× 311 0.5× 277 0.6× 876 1.9× 122 2.9k
Bernard Gendron 1.6k 1.5× 339 0.5× 310 0.5× 170 0.4× 404 0.9× 116 2.7k
Özlem Ergün 1.4k 1.3× 503 0.7× 122 0.2× 416 0.9× 324 0.7× 60 3.0k
Walter Ukovich 1.3k 1.2× 500 0.7× 234 0.4× 549 1.1× 463 1.0× 175 2.9k
Richard T. Wong 1.7k 1.6× 441 0.7× 416 0.6× 264 0.5× 347 0.7× 37 3.2k
Patrice Marcotte 463 0.4× 642 1.0× 290 0.4× 339 0.7× 490 1.0× 77 4.1k
Jorge Pinho de Sousa 784 0.7× 196 0.3× 104 0.2× 250 0.5× 263 0.6× 88 2.0k

Countries citing papers authored by Diego Klabjan

Since Specialization
Citations

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

Fields of papers citing papers by Diego Klabjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Klabjan

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Klabjan. A scholar is included among the top collaborators of Diego Klabjan 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 Diego Klabjan. Diego Klabjan 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
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Jang, Jaeyeon, et al.. (2025). Scalable multi-agent reinforcement learning for factory-wide dynamic scheduling in semiconductor manufacturing. Engineering Applications of Artificial Intelligence. 161. 112168–112168.
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Klabjan, Diego, et al.. (2024). A Primal-Dual Algorithm for Hybrid Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14482–14489. 3 indexed citations
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Klabjan, Diego, et al.. (2024). IIFE: Interaction Information Based Automated Feature Engineering. 803–808. 1 indexed citations
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Ye, Xue, Diego Klabjan, & Yuan Luo. (2022). Aggregation Delayed Federated Learning. 2022 IEEE International Conference on Big Data (Big Data). 119. 85–94. 2 indexed citations
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Klabjan, Diego, et al.. (2018). Portfolio Optimization for American Options. SSRN Electronic Journal. 2 indexed citations
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Klabjan, Diego, et al.. (2017). Bayesian Network Learning via Topological Order. Journal of Machine Learning Research. 18(99). 1–32. 9 indexed citations
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Klabjan, Diego, et al.. (2017). Convergence Analysis of Batch Normalization for Deep Neural Nets.. arXiv (Cornell University). 7 indexed citations
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Klabjan, Diego, et al.. (2017). Improving the Expected Improvement Algorithm. Neural Information Processing Systems. 30. 5381–5391. 11 indexed citations
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Klabjan, Diego, et al.. (2016). Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis. IEEE Conference Proceedings. 2016. 438. 1 indexed citations
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Klabjan, Diego, et al.. (2015). Optimal Expediting Policies for a Serial Inventory System with Stochastic Lead Time and Visibility of Orders in Transit. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations
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Shebalov, Sergey, et al.. (2015). Lifting for mixed integer programs with variable upper bounds. Discrete Applied Mathematics. 186. 226–250. 1 indexed citations
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Klabjan, Diego, et al.. (2014). Lot sizing with minimum order quantity. Discrete Applied Mathematics. 181. 235–254. 14 indexed citations
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Zhao, Yijia & Diego Klabjan. (2012). A polyhedral study of lot-sizing with supplier selection. Discrete Optimization. 9(2). 65–76. 7 indexed citations
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Klabjan, Diego & Karsten Schwan. (2001). Airline Crew Pairing Generation in Parallel. 11 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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Breakdown of academic impact, for papers by Anton J. Kleywegt Breakdown of academic impact, for papers by Tito Homem‐de‐Mello Breakdown of academic impact, for papers by Michael O. Ball Breakdown of academic impact, for papers by Shuo‐Yan Chou Breakdown of academic impact, for papers by Bernard Gendron Breakdown of academic impact, for papers by Özlem Ergün Breakdown of academic impact, for papers by Walter Ukovich Breakdown of academic impact, for papers by Richard T. Wong Breakdown of academic impact, for papers by Patrice Marcotte Breakdown of academic impact, for papers by Jorge Pinho de Sousa
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