Gianpiero Monaco

89 total papers · 758 total citations
35 papers, 298 citations indexed

About

Gianpiero Monaco is a scholar working on Management Science and Operations Research, Economics and Econometrics and Computer Networks and Communications. According to data from OpenAlex, Gianpiero Monaco has authored 35 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 20 papers in Economics and Econometrics and 12 papers in Computer Networks and Communications. Recurrent topics in Gianpiero Monaco's work include Game Theory and Voting Systems (18 papers), Game Theory and Applications (17 papers) and Auction Theory and Applications (14 papers). Gianpiero Monaco is often cited by papers focused on Game Theory and Voting Systems (18 papers), Game Theory and Applications (17 papers) and Auction Theory and Applications (14 papers). Gianpiero Monaco collaborates with scholars based in Italy, Israel and France. Gianpiero Monaco's co-authors include Luca Moscardelli, Michele Flammini, Vittorio Bilò, Shmuel Zaks, Mordechai Shalom, Angelo Fanelli, Alberto Marchetti-Spaccamela, Ioannis Caragiannis, Tami Tamir and Hadas Shachnai and has published in prestigious journals such as IEEE/ACM Transactions on Networking, Computer Networks and Theoretical Computer Science.

In The Last Decade

Gianpiero Monaco

34 papers receiving 294 citations

Author Peers

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

Author						Papers	Cites
Gianpiero Monaco	168	153	88	67	41	35	298
Spyros Kontogiannis	177 1.1×	128 0.8×	54 0.6×	16 0.2×	11 0.3×	27	264
Xiaohui Bei	167 1.0×	146 1.0×	60 0.7×	10 0.1×	13 0.3×	38	350
Jorge Oviedo	177 1.1×	214 1.4×	26 0.3×	26 0.4×	11 0.3×	28	300
Trung Thanh Nguyen	109 0.6×	110 0.7×	35 0.4×	38 0.6×	13 0.3×	34	228
Max Klimm	171 1.0×	133 0.9×	57 0.6×	8 0.1×	33 0.8×	39	244
Mourad Baı̈ou	79 0.5×	128 0.8×	46 0.5×	28 0.4×	52 1.3×	37	255
Xujin Chen	79 0.5×	33 0.2×	57 0.6×	25 0.4×	45 1.1×	49	229
Andreas Darmann	81 0.5×	105 0.7×	55 0.6×	16 0.2×	41 1.0×	33	232
Laurent Gourvès	70 0.4×	52 0.3×	62 0.7×	26 0.4×	65 1.6×	31	227
Yukun Cheng	69 0.4×	55 0.4×	64 0.7×	10 0.1×	16 0.4×	33	229

Countries citing papers authored by Gianpiero Monaco

Since Specialization

Citations

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

Fields of papers citing papers by Gianpiero Monaco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianpiero Monaco

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