Thomas M. Tirpak

46 total papers · 967 total citations
39 papers, 678 citations indexed

About

Thomas M. Tirpak is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Thomas M. Tirpak has authored 39 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Industrial and Manufacturing Engineering, 6 papers in Artificial Intelligence and 4 papers in Strategy and Management. Recurrent topics in Thomas M. Tirpak's work include Scheduling and Optimization Algorithms (11 papers), Assembly Line Balancing Optimization (10 papers) and Manufacturing Process and Optimization (8 papers). Thomas M. Tirpak is often cited by papers focused on Scheduling and Optimization Algorithms (11 papers), Assembly Line Balancing Optimization (10 papers) and Manufacturing Process and Optimization (8 papers). Thomas M. Tirpak collaborates with scholars based in United States, Poland and Netherlands. Thomas M. Tirpak's co-authors include Peter Nelson, Weimin Xiao, Chi Zhou, Nancy DiTomaso, Wayne J. Davis, Rajendra P. Borwankar, Corinne Post, Tadeusz Sawik, Bing Liu and Xin Li and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, International Journal of Production Research and Annals of Operations Research.

In The Last Decade

Thomas M. Tirpak

37 papers receiving 633 citations

Author Peers

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

Author						Papers	Cites
Thomas M. Tirpak	232	177	111	77	64	39	678
Cécilia Zanni-Merk	256 1.1×	206 1.2×	54 0.5×	40 0.5×	111 1.7×	77	696
Zigang Zhang	46 0.2×	104 0.6×	142 1.3×	164 2.1×	16 0.3×	48	715
Mansur Darlington	94 0.4×	149 0.8×	34 0.3×	17 0.2×	108 1.7×	36	625
Steve Cayzer	69 0.3×	238 1.3×	165 1.5×	90 1.2×	16 0.3×	36	764
George Rzevski	156 0.7×	114 0.6×	81 0.7×	6 0.1×	63 1.0×	62	638
Hui‐Chuan Chu	71 0.3×	191 1.1×	57 0.5×	17 0.2×	107 1.7×	35	763
Richard G. Mathieu	91 0.4×	83 0.5×	78 0.7×	21 0.3×	41 0.6×	40	659
Omar Chiotti	72 0.3×	175 1.0×	73 0.7×	27 0.4×	40 0.6×	76	602
Saverio Salerno	70 0.3×	275 1.6×	26 0.2×	47 0.6×	17 0.3×	79	706
Walter Van de Velde	67 0.3×	497 2.8×	33 0.3×	49 0.6×	22 0.3×	41	742

Countries citing papers authored by Thomas M. Tirpak

Since Specialization

Citations

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

Fields of papers citing papers by Thomas M. Tirpak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Tirpak. 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 Thomas M. Tirpak. The network helps show where Thomas M. Tirpak may publish in the future.

Co-authorship network of co-authors of Thomas M. Tirpak

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Tirpak. A scholar is included among the top collaborators of Thomas M. Tirpak 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 Thomas M. Tirpak. Thomas M. Tirpak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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