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.
Citations per year, relative to Massimo Paolucci Massimo Paolucci (= 1×)
peers
Matthias Jarke
Countries citing papers authored by Massimo Paolucci
Since
Specialization
Citations
This map shows the geographic impact of Massimo Paolucci'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 Massimo Paolucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Paolucci more than expected).
Fields of papers citing papers by Massimo Paolucci
This network shows the impact of papers produced by Massimo Paolucci. 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 Massimo Paolucci. The network helps show where Massimo Paolucci may publish in the future.
Co-authorship network of co-authors of Massimo Paolucci
This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Paolucci.
A scholar is included among the top collaborators of Massimo Paolucci 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 Massimo Paolucci. Massimo Paolucci is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Paolucci, Massimo, et al.. (2012). Experimental analysis of different pheromone structures in an Ant Colony Optimization algorithm in robotic skin design. Federated Conference on Computer Science and Information Systems. 431–438.1 indexed citations
Broll, Gregor, et al.. (2008). Collect & Drop: A Technique for Physical Mobile Interaction.. Lancaster EPrints (Lancaster University). 15(8). 1082–1082.3 indexed citations
8.
Paolucci, Massimo, Roberto Revetria, & Flavio Tonelli. (2007). An agent-based system for sales and operations planning in manufacturing supply chains. CINECA IRIS Institutial Research Information System (University of Genoa). 339–345.7 indexed citations
9.
Anghinolfi, Davide, et al.. (2007). A Swarm Intelligence Method Applied to Manufacturing Scheduling.. CINECA IRIS Institutial Research Information System (University of Genoa). 65–70.2 indexed citations
10.
Liebig, Thorsten, Marko Luther, Olaf Noppens, Massimo Paolucci, & Matthias Wagner. (2005). Building Applications and Tools for OWL - Experiences and Suggestions..2 indexed citations
Srinivasan, Naveen, Massimo Paolucci, & Katia Sycara. (2004). Adding OWL-S to UDDI, implementation and throughput. Human Physiology. 6(6). 397–400.96 indexed citations
13.
Paolucci, Massimo, et al.. (2003). Using DAML-S for P2P Discovery.. 203–207.63 indexed citations
14.
Paolucci, Massimo, et al.. (2003). A Design Tool to Develop Agent-Based Workflow Management Systems.. CINECA IRIS Institutial Research Information System (University of Genoa). 100–107.5 indexed citations
15.
Minciardi, R., Massimo Paolucci, & Eva Trasforini. (2003). A New Procedure to Plan Routing and Scheduling of Vehicles for Solid Waste Collection at a Metropolitan Scale.2 indexed citations
16.
Suthers, Dan, John Connelly, Alan M. Lesgold, et al.. (2001). Representational and advisory guidance for students learning scientific inquiry. ScholarSpace (University of Hawaii at Manoa). 7–35.48 indexed citations
17.
Paolucci, Massimo, Onn Shehory, & Katia Sycara. (2000). Interleaving planning and execution in a multiagent team planning environment. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4. 23–43.19 indexed citations
18.
Paolucci, Massimo, et al.. (2000). Matchmaking to Support Intelligent Agents for Portfolio Management. National Conference on Artificial Intelligence. 1125–1126.9 indexed citations
Minciardi, R., Massimo Paolucci, & Raffaele Pesenti. (1995). Customer Oriented Train Scheduling in Underground Railway Systems. 149–153.1 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.