Daniel Gandolfo

790 citations
63 papers · 512 · h-index 13

Impact in

Papers in

Daniel Gandolfo

58 papers receiving 498 citations

Peers

Daniel Gandolfo
Comparison fields: 5 of 58
  • Control and Systems Engineering 219
  • Condensed Matter Physics 104
  • Mathematical Physics 76
  • Aerospace Engineering 145
  • Statistics and Probability 47
Replace Igor Melnyk with:
Igor Melnyk Ukraine
Leonard Asimow United States
Vishwesh A. Vyawahare India
H. E. Meadows United States
Luis Hernández-Martínez Mexico
Junzhi Yu China
Madhukar Pandit Germany
Zheng-Hua Luo Japan
Ramesh S. Guttalu United States
G. Dongola Italy
Daniel Gandolfo relative to Igor Melnyk Ukraine Igor Melnyk's profile →
Citations per field
00.5×10×20×25.3×
Igor Melnyk · 1×
Citations per year

Countries citing papers authored by Daniel Gandolfo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gandolfo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Gandolfo, 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 Daniel Gandolfo Line = papers co-authored together Daniel Gandolfo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 201849
3 201442
4 201430
5
ON FREE ENERGIES OF THE ISING MODEL ON THE CAYLEY TREE
201625
6 201419
7 201317
8 201316
9 200715
10 201714
11 202014
12 202213
13 202013
14
Glassy states: the free Ising model on a tree
201712
15
A manifold of pure Gibbs states of the Ising model on a Cayley tree
201212
16 201812
17 202310
18 201610
19 20099
20 20178

About Daniel Gandolfo

Daniel Gandolfo is a scholar working on Control and Systems Engineering, Condensed Matter Physics, Computer Vision and Pattern Recognition, Aerospace Engineering and Mathematical Physics, having authored 63 papers that have together received 512 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (21 papers), Theoretical and Computational Physics (18 papers), Robotic Path Planning Algorithms (14 papers), Advanced Control Systems Optimization (11 papers), Stochastic processes and statistical mechanics (9 papers), Guidance and Control Systems (7 papers), Distributed Control Multi-Agent Systems (6 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Control and Systems Engineering (219 citations), Condensed Matter Physics (104 citations), Mathematical Physics (76 citations), Aerospace Engineering (145 citations) and Statistics and Probability (47 citations). Daniel Gandolfo has collaborated with scholars based in Argentina, France and Ecuador. Frequent co-authors include Alexandre S. Brandão, Lucio R. Salinas, Ricardo Carelli, Claudio Rosales, Juan Marcos Toibero, Jean Ruiz, U. A. Rozikov, Gustavo Scaglia, Marcelo G. Molina and Mario Emanuel Serrano. Their work appears in journals such as Journal of Statistical Physics, Physica A Statistical Mechanics and its Applications, IEEE Access, ISA Transactions and Europhysics Letters (EPL).

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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