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.
Countries citing papers authored by Alcherio Martinoli
Since
Specialization
Citations
This map shows the geographic impact of Alcherio Martinoli'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 Alcherio Martinoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alcherio Martinoli more than expected).
Fields of papers citing papers by Alcherio Martinoli
This network shows the impact of papers produced by Alcherio Martinoli. 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 Alcherio Martinoli. The network helps show where Alcherio Martinoli may publish in the future.
Co-authorship network of co-authors of Alcherio Martinoli
This figure shows the co-authorship network connecting the top 25 collaborators of Alcherio Martinoli.
A scholar is included among the top collaborators of Alcherio Martinoli 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 Alcherio Martinoli. Alcherio Martinoli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Berchet, Antoine, et al.. (2015). High-resolution air pollution modeling for urban environments in support of dense multi-platform networks. EGU General Assembly Conference Abstracts. 11161.1 indexed citations
Correll, Nikolaus & Alcherio Martinoli. (2007). Modeling Self-Organized Aggregation in a Swarm of Miniature Robots. Infoscience (Ecole Polytechnique Fédérale de Lausanne).22 indexed citations
14.
Dorigo, Marco, Luca Maria Gambardella, Mauro Birattari, et al.. (2006). Ant Colony Optimization and Swarm Intelligence: 5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006, Proceedings (Lecture Notes in Computer Science). Springer eBooks.9 indexed citations
15.
Correll, Nikolaus, et al.. (2006). Self-Organized Embedded Sensor/Actuator Networks for ""Smart"" Turbines. Infoscience (Ecole Polytechnique Fédérale de Lausanne).8 indexed citations
16.
Lerman, Kristina, et al.. (2005). A review of probabilistic macroscopic models for swarm robotic systems.8 indexed citations
17.
Martinoli, Alcherio, Guy Théraulaz, & Jean‐Louis Deneubourg. (2002). Quand les robots imitent la nature. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 358(358). 56–62.3 indexed citations
18.
Schmid, Roland, et al.. (1999). Field water balance modeling with the dynamic parameters of soil hydraulic properties taken into account (in Chinese). Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6. 39–44.1 indexed citations
19.
Martinoli, Alcherio, Masahiko Yamamoto, & Francesco Mondada. (1997). On the Modelling of Bio-Inspired Collective Experiments with Real Robots. Infoscience (Ecole Polytechnique Fédérale de Lausanne).4 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.