Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
This map shows the geographic impact of E. Amaldi'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 E. Amaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Amaldi more than expected).
This network shows the impact of papers produced by E. Amaldi. 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 E. Amaldi. The network helps show where E. Amaldi may publish in the future.
Co-authorship network of co-authors of E. Amaldi
This figure shows the co-authorship network connecting the top 25 collaborators of E. Amaldi.
A scholar is included among the top collaborators of E. Amaldi 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 E. Amaldi. E. Amaldi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Amaldi, E., Stefano Coniglio, & Leonardo Taccari. (2012). k-Piecewise Affine Model Fitting: Heuristics Based on Multiway Linear Classification.. ePrints Soton (University of Southampton). 16–19.2 indexed citations
6.
Amaldi, E., Stefano Coniglio, & Leonardo Taccari. (2011). Formulations and heuristics for the k-Piecewise Affine Model Fitting problem. ePrints Soton (University of Southampton). 48–51.2 indexed citations
7.
Amaldi, E., et al.. (2009). k-Hyperplane Clustering Problem: Column Generation and a Metaheuristic.. ePrints Soton (University of Southampton). 355–358.3 indexed citations
8.
Amaldi, E., et al.. (2008). Column Generation for the Minimum Hyperplanes Clustering Problem.. 162–166.1 indexed citations
9.
Amaldi, E., Giulia Galbiati, & Francesco Maffioli. (2008). On minimum reload cost paths, tours and flows. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 57(3). 112–115.1 indexed citations
10.
Amaldi, E., et al.. (2003). Optimizing base station location and configuration in UMTS networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1. 13–18.3 indexed citations
Amaldi, E., et al.. (2000). Feasibility study of a dial-a-ride system for a suburban area of Milan. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 30. 3–26.1 indexed citations
13.
Amaldi, E., et al.. (2000). A DIAL-A-RIDE SYSTEM TO BE IMPLEMENTED IN A SUBURBAN AREA OF MILAN.1 indexed citations
14.
Amaldi, E., et al.. (1998). 20th century physics : essays and recollections : a selection of historical writings. WORLD SCIENTIFIC eBooks.2 indexed citations
15.
Amaldi, E. & Viggo Kann. (1998). On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems. Theoretical Computer Science. 209(1-2). 237–260.511 indexed citations breakdown →
Amaldi, E., P. Bonifazi, M. G. Castellano, et al.. (1987). Data recorded by the Rome room temperature gravitational wave antenna, during the supernova SN 1987 A in the Large Magellanic Cloud. NASA STI/Recon Technical Report N. 88. 14922.
19.
Amaldi, E., P. Bonifazi, F. Bronzini, et al.. (1983). The gravitational wave experiment of the Rome group.. CERN Bulletin. 499–521.5 indexed citations
20.
Amaldi, E. & M. Conversi. (1970). Evolution of particle physics : a volume dedicated to Edoardo Amaldi in his sixtieth birthday. Academic Press eBooks.2 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.