Maria Pini

83 papers receiving 1.9k citations

Peers

Maria Pini
Comparison fields: 5 of 138
  • Management Science and Operations Research 232
  • Immunology 335
  • Epidemiology 544
  • Physiology 388
  • Endocrine and Autonomic Systems 96
Replace Chen Lin with:
Chen Lin Taiwan
John J. Spitzer United States
Alasdair J. G. Gray United Kingdom
Weiwei Wang China
Lucia Sacchi Italy
Ron Milo Israel
Liqin Wang United States
Hegang Chen United States
Alex Dmitrienko United States
Khursheed Alam India
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Citations per field
00.5×3.8×
Chen Lin · 1×
Citations per year

Countries citing papers authored by Maria Pini

Since Specialization
Citations

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

Fields of papers citing papers by Maria Pini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maria Pini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maria Pini Line = papers co-authored together Maria Pini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202115
3 20143
4 20132
5 20127
6 201221
7 201219
8 20115
9 201112
10 20113
11
STABILITY IN MATCHING PROBLEMS WITH WEIGHTED PREFERENCES
20116
12 20103
13 201021
14 20091
15
Preference aggregation over restricted ballot languages: sincerity and strategy-proofness
20098
16
Incompleteness and incomparability in preference aggregation
200746
17
Winner determination in sequential majority voting
200751
18
Bipolar preference problems
20064
19
Computing possible and necessary winners from incomplete partially-ordered preferences
20064
20 20059

About Maria Pini

Maria Pini is a scholar working on General Decision Sciences, Management Science and Operations Research, Economics and Econometrics, Endocrine and Autonomic Systems and Signal Processing, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (26 papers), Adipokines, Inflammation, and Metabolic Diseases (19 papers), Auction Theory and Applications (16 papers), Constraint Satisfaction and Optimization (13 papers), Logic, Reasoning, and Knowledge (11 papers), Adipose Tissue and Metabolism (10 papers), Data Management and Algorithms (8 papers) and Pancreatitis Pathology and Treatment (5 papers). The work is most often cited by research in Management Science and Operations Research (232 citations), Immunology (335 citations), Epidemiology (544 citations), Physiology (388 citations) and Endocrine and Autonomic Systems (96 citations). Maria Pini has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Giamila Fantuzzi, Francesca Rossi, Kristen Brent Venable, Toby Walsh, Robert J. Cabay, Joseph A. Sennello, Raja Fayad, Davina Rhodes, Karla J. Castellanos and Zhigang Wang. Their work appears in journals such as Cytokine, Autonomous Agents and Multi-Agent Systems, Journal of Leukocyte Biology, Obesity and Gastroenterology.

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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