Toni Lupo

46 total papers · 818 total citations
34 papers, 639 citations indexed

About

Toni Lupo is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Toni Lupo has authored 34 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Science and Operations Research, 11 papers in Statistics, Probability and Uncertainty and 9 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Toni Lupo's work include Multi-Criteria Decision Making (10 papers), Customer Service Quality and Loyalty (9 papers) and Advanced Statistical Process Monitoring (7 papers). Toni Lupo is often cited by papers focused on Multi-Criteria Decision Making (10 papers), Customer Service Quality and Loyalty (9 papers) and Advanced Statistical Process Monitoring (7 papers). Toni Lupo collaborates with scholars based in Italy and Iran. Toni Lupo's co-authors include Antonella Certa, Giacomo Maria Galante, Mario Enea, Concetta Manuela La Fata, Tommaso Piazza, Rosa Di Lorenzo, Harikrishna Rana, Davide Campanella, Giuseppe Ingarao and Dina Palmeri and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and International Journal of Production Research.

In The Last Decade

Toni Lupo

30 papers receiving 605 citations

Author Peers

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

Author						Papers	Cites
Toni Lupo	262	169	111	82	73	34	639
Gülin Feryal Can	266 1.0×	42 0.2×	133 1.2×	28 0.3×	70 1.0×	61	553
Tsung‐Yu Chou	276 1.1×	144 0.9×	20 0.2×	21 0.3×	76 1.0×	25	703
Gholamreza Haseli	388 1.5×	51 0.3×	64 0.6×	23 0.3×	45 0.6×	23	768
Hong Tau Lee	155 0.6×	157 0.9×	66 0.6×	10 0.1×	39 0.5×	25	629
Soroush Avakh Darestani	151 0.6×	80 0.5×	57 0.5×	24 0.3×	37 0.5×	61	558
Michio Amagasa	283 1.1×	45 0.3×	59 0.5×	24 0.3×	44 0.6×	11	761
Ying‐Chyi Chou	242 0.9×	68 0.4×	38 0.3×	27 0.3×	44 0.6×	54	744
Mengmeng Shan	418 1.6×	60 0.4×	203 1.8×	95 1.2×	109 1.5×	10	729
Hiroshi Mieno	250 1.0×	43 0.3×	52 0.5×	22 0.3×	39 0.5×	17	748
İrem Uçal Sarı	430 1.6×	36 0.2×	61 0.5×	24 0.3×	41 0.6×	31	678

Countries citing papers authored by Toni Lupo

Since Specialization

Citations

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

Fields of papers citing papers by Toni Lupo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toni Lupo

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