Daniel R. Parisi

2.6k total citations
43 papers, 1.9k citations indexed

About

Daniel R. Parisi is a scholar working on Ocean Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Daniel R. Parisi has authored 43 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ocean Engineering, 21 papers in Control and Systems Engineering and 10 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Daniel R. Parisi's work include Evacuation and Crowd Dynamics (25 papers), Traffic control and management (19 papers) and Traffic and Road Safety (9 papers). Daniel R. Parisi is often cited by papers focused on Evacuation and Crowd Dynamics (25 papers), Traffic control and management (19 papers) and Traffic and Road Safety (9 papers). Daniel R. Parisi collaborates with scholars based in Argentina, Spain and United States. Daniel R. Parisi's co-authors include C. O. Dorso, Iker Zuriguel, Miguel Á. Laborde, Ángel Garcimartín, César Martín-Gómez, J.M. Pastor, Roxana Josens, Luis A. Pugnaloni, Diego Maza and R. C. Hidalgo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel R. Parisi

43 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel R. Parisi Argentina 20 1.3k 629 617 401 233 43 1.9k
Andrea Tosin Italy 19 557 0.4× 108 0.2× 615 1.0× 366 0.9× 105 0.5× 59 1.5k
Qing-Song Wu China 36 1.0k 0.8× 524 0.8× 3.7k 6.0× 2.9k 7.1× 128 0.5× 129 5.4k
Jian Ma China 30 2.0k 1.5× 1.3k 2.1× 906 1.5× 940 2.3× 21 0.1× 122 2.7k
Xiaodong Zhou China 19 242 0.2× 413 0.7× 83 0.1× 54 0.1× 150 0.6× 108 1.2k
Alessandro Corbetta Netherlands 13 330 0.3× 138 0.2× 94 0.2× 126 0.3× 79 0.3× 46 651
Benno Tilch Germany 7 193 0.1× 193 0.3× 921 1.5× 651 1.6× 17 0.1× 7 1.4k
Satoshi Yukawa Japan 15 176 0.1× 64 0.1× 677 1.1× 459 1.1× 35 0.2× 52 1.2k
Najem Moussa Morocco 16 93 0.1× 114 0.2× 224 0.4× 156 0.4× 38 0.2× 62 699
Zhengru Ren Norway 23 531 0.4× 99 0.2× 420 0.7× 10 0.0× 261 1.1× 70 1.8k
Shubin Li China 18 94 0.1× 45 0.1× 307 0.5× 282 0.7× 43 0.2× 89 1.0k

Countries citing papers authored by Daniel R. Parisi

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Parisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Parisi. 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 Daniel R. Parisi. The network helps show where Daniel R. Parisi may publish in the future.

Co-authorship network of co-authors of Daniel R. Parisi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Parisi. A scholar is included among the top collaborators of Daniel R. Parisi 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 Daniel R. Parisi. Daniel R. Parisi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Caputo, Pietro & Daniel R. Parisi. (2024). Nonlinear recombinations and generalized random transpositions. Iris (Roma Tre University). 7. 1245–1299. 1 indexed citations
2.
Parisi, Daniel R., et al.. (2023). Flow rate resonance of actively deforming particles. Scientific Reports. 13(1). 9455–9455. 3 indexed citations
3.
Caputo, Pietro & Daniel R. Parisi. (2021). Block Factorization of the Relative Entropy via Spatial Mixing. Iris (Roma Tre University). 9 indexed citations
4.
Garcimartín, Ángel, et al.. (2021). Effect of physical distancing on the speed–density relation in pedestrian dynamics. Journal of Statistical Mechanics Theory and Experiment. 2021(4). 43401–43401. 9 indexed citations
5.
Mas, Ignacio, et al.. (2021). People counting using visible and infrared images. Neurocomputing. 450. 25–32. 4 indexed citations
6.
Patterson, G. A., Didier Sornette, & Daniel R. Parisi. (2020). Properties of balanced flows with bottlenecks: Common stylized facts in finance and vibration-driven vehicles. Physical review. E. 101(4). 42302–42302. 6 indexed citations
7.
Liu, Yaling, I‐Ping Chen, Ernst Reichenberger, et al.. (2018). Rescue of a cherubism bone marrow stromal culture phenotype by reducing TGFβ signaling. Bone. 111. 28–35. 5 indexed citations
8.
Parisi, Daniel R., R. C. Hidalgo, & Iker Zuriguel. (2018). Active particles with desired orientation flowing through a bottleneck. Scientific Reports. 8(1). 9133–9133. 19 indexed citations
9.
Hidalgo, R. C., Daniel R. Parisi, & Iker Zuriguel. (2017). Simulating competitive egress of noncircular pedestrians. Physical review. E. 95(4). 42319–42319. 23 indexed citations
10.
Patterson, G. A., P. I. Fierens, Ángel Garcimartín, et al.. (2017). Clogging Transition of Vibration-Driven Vehicles Passing through Constrictions. Physical Review Letters. 119(24). 248301–248301. 57 indexed citations
11.
Garcimartín, Ángel, J.M. Pastor, César Martín-Gómez, Daniel R. Parisi, & Iker Zuriguel. (2017). Pedestrian collective motion in competitive room evacuation. Scientific Reports. 7(1). 10792–10792. 48 indexed citations
12.
Pastor, J.M., Ángel Garcimartín, Paula A. Gago, et al.. (2015). Experimental proof of faster-is-slower in systems of frictional particles flowing through constrictions. Physical Review E. 92(6). 62817–62817. 129 indexed citations
13.
Parisi, Daniel R., Didier Sornette, & Dirk Helbing. (2013). Financial price dynamics and pedestrian counterflows: A comparison of statistical stylized facts. Physical Review E. 87(1). 12804–12804. 33 indexed citations
14.
Josens, Roxana, et al.. (2013). Efficient Egress of Escaping Ants Stressed with Temperature. PLoS ONE. 8(11). e81082–e81082. 40 indexed citations
15.
Baglietto, Gabriel & Daniel R. Parisi. (2011). Continuous-space automaton model for pedestrian dynamics. Physical Review E. 83(5). 56117–56117. 32 indexed citations
16.
Parisi, Daniel R., et al.. (2009). A modification of the Social Force Model can reproduce experimental data of pedestrian flows in normal conditions. Physica A Statistical Mechanics and its Applications. 388(17). 3600–3608. 194 indexed citations
17.
Parisi, Daniel R. & C. O. Dorso. (2006). THE ROLE OF PANIC IN THE ROOM EVACUATION PROCESS. International Journal of Modern Physics C. 17(3). 419–434. 15 indexed citations
18.
Parisi, Daniel R., et al.. (2002). Approximation by Neural Network of the Effectiveness Factor in a Catalyst with Deactivation. Chemical Engineering & Technology. 25(12). 1183–1186. 1 indexed citations
19.
Parisi, Daniel R. & Miguel Á. Laborde. (2001). Modeling steady-state heterogeneous gas–solid reactors using feedforward neural networks. Computers & Chemical Engineering. 25(9-10). 1241–1250. 24 indexed citations
20.
Parisi, Daniel R. & Dario Floreano. (1992). Prediction and Imitation of Linguistic Sounds by Neural Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 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.

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