Gustavo A. Ledezma

1.2k total citations
38 papers, 963 citations indexed

About

Gustavo A. Ledezma is a scholar working on Mechanical Engineering, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Gustavo A. Ledezma has authored 38 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Mechanical Engineering, 22 papers in Aerospace Engineering and 21 papers in Computational Mechanics. Recurrent topics in Gustavo A. Ledezma's work include Heat Transfer Mechanisms (26 papers), Turbomachinery Performance and Optimization (21 papers) and Fluid Dynamics and Turbulent Flows (14 papers). Gustavo A. Ledezma is often cited by papers focused on Heat Transfer Mechanisms (26 papers), Turbomachinery Performance and Optimization (21 papers) and Fluid Dynamics and Turbulent Flows (14 papers). Gustavo A. Ledezma collaborates with scholars based in United States, Israel and Mexico. Gustavo A. Ledezma's co-authors include Adrian Bejan, Marcelo Risso Errera, Gregory M. Laskowski, Klaus‐Jürgen Bathe, David G. Bogard, Jason E. Dees, Anil K. Tolpadi, Alexandru M. Morega, Alex Fowler and Shanhong Ji and has published in prestigious journals such as Journal of Applied Physics, International Journal of Heat and Mass Transfer and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Gustavo A. Ledezma

38 papers receiving 927 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gustavo A. Ledezma United States 18 670 407 290 174 70 38 963
Yaping Ju China 17 334 0.5× 394 1.0× 497 1.7× 127 0.7× 42 0.6× 62 893
Amir Nejat Iran 19 165 0.2× 552 1.4× 377 1.3× 226 1.3× 41 0.6× 65 1.1k
Zhengping Zou China 21 758 1.1× 710 1.7× 792 2.7× 177 1.0× 47 0.7× 127 1.4k
Cesare Biserni Italy 25 1.5k 2.2× 314 0.8× 88 0.3× 445 2.6× 139 2.0× 85 1.8k
F. Ilinca Canada 23 436 0.7× 819 2.0× 77 0.3× 61 0.4× 41 0.6× 95 1.3k
Mei Lin China 18 740 1.1× 344 0.8× 180 0.6× 399 2.3× 43 0.6× 97 1.2k
Mostafa Odabaee Australia 10 505 0.8× 612 1.5× 285 1.0× 276 1.6× 41 0.6× 19 1.0k
Shaligram Tiwari India 23 820 1.2× 739 1.8× 256 0.9× 321 1.8× 24 0.3× 115 1.4k
Serge Russeil France 17 660 1.0× 456 1.1× 103 0.4× 295 1.7× 80 1.1× 51 1.0k

Countries citing papers authored by Gustavo A. Ledezma

Since Specialization
Citations

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

Fields of papers citing papers by Gustavo A. Ledezma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gustavo A. Ledezma. 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 Gustavo A. Ledezma. The network helps show where Gustavo A. Ledezma may publish in the future.

Co-authorship network of co-authors of Gustavo A. Ledezma

This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo A. Ledezma. A scholar is included among the top collaborators of Gustavo A. Ledezma 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 Gustavo A. Ledezma. Gustavo A. Ledezma 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.
Ledezma, Gustavo A., et al.. (2022). Interaction of Transpiration Cooling with a Stagnating Crossflow. AIAA SCITECH 2022 Forum. 1 indexed citations
2.
Wang, Guanghua, et al.. (2016). Experimental Study of Effusion Cooling With Pressure-Sensitive Paint. Journal of Engineering for Gas Turbines and Power. 139(5). 20 indexed citations
3.
4.
Ledezma, Gustavo A. & Ronald S. Bunker. (2014). The Optimal Distribution of Pin Fins for Blade Tip Cap Underside Cooling. Journal of Turbomachinery. 137(1). 9 indexed citations
5.
6.
Dees, Jason E., David G. Bogard, Gustavo A. Ledezma, Gregory M. Laskowski, & Anil K. Tolpadi. (2012). Experimental Measurements and Computational Predictions for an Internally Cooled Simulated Turbine Vane With 90 Degree Rib Turbulators. Journal of Turbomachinery. 134(6). 25 indexed citations
7.
Dees, Jason E., David G. Bogard, Gustavo A. Ledezma, Gregory M. Laskowski, & Anil K. Tolpadi. (2012). Momentum and Thermal Boundary Layer Development on an Internally Cooled Turbine Vane. Journal of Turbomachinery. 134(6). 19 indexed citations
8.
Dees, Jason E., David G. Bogard, Gustavo A. Ledezma, & Gregory M. Laskowski. (2011). Overall and Adiabatic Effectiveness Values on a Scaled Up, Simulated Gas Turbine Vane: Part I—Experimental Measurements. 571–582. 11 indexed citations
9.
Dees, Jason E., David G. Bogard, Gustavo A. Ledezma, Gregory M. Laskowski, & Anil K. Tolpadi. (2010). Experimental Measurements and Computational Predictions for an Internally Cooled Simulated Turbine Vane With 90 Degree Rib Turbulators. Volume 4: Heat Transfer, Parts A and B. 447–456. 5 indexed citations
10.
Dees, Jason E., David G. Bogard, Gustavo A. Ledezma, Gregory M. Laskowski, & Anil K. Tolpadi. (2010). Momentum and Thermal Boundary Layer Development on an Internally Cooled Turbine Vane. Volume 4: Heat Transfer, Parts A and B. 457–469. 3 indexed citations
11.
Dees, Jason E., David G. Bogard, Gustavo A. Ledezma, Gregory M. Laskowski, & Anil K. Tolpadi. (2009). Experimental Measurements and Computational Predictions for an Internally Cooled Simulated Turbine Vane. 2135–2144. 6 indexed citations
12.
13.
Campo, Antonio, Gustavo A. Ledezma, & Ignacio Carvajal-Mariscal. (2008). Prediction of Friction Factors and Axial Descent of Convective Coefficients in Laminar Flows through Internally Finned Tubes by Way of Solving Two-Dimensional Heat Conduction Equations. International Journal of Mechanical Engineering Education. 36(1). 48–57. 2 indexed citations
14.
Ledezma, Gustavo A., Gregory M. Laskowski, & Anil K. Tolpadi. (2008). Turbulence Model Assessment for Conjugate Heat Transfer in a High Pressure Turbine Vane Model. Volume 4: Heat Transfer, Parts A and B. 489–499. 18 indexed citations
15.
Zhang, Hou, et al.. (2003). Recent development of fluid–structure interaction capabilities in the ADINA system. Computers & Structures. 81(8-11). 1071–1085. 77 indexed citations
16.
Ledezma, Gustavo A., Albert Folch, Sangeeta N. Bhatia, et al.. (1999). Numerical Model of Fluid Flow and Oxygen Transport in a Radial-Flow Microchannel Containing Hepatocytes. Journal of Biomechanical Engineering. 121(1). 58–64. 51 indexed citations
17.
Fowler, Alex, Gustavo A. Ledezma, & Adrian Bejan. (1997). Optimal geometric arrangement of staggered plates in forced convection. International Journal of Heat and Mass Transfer. 40(8). 1795–1805. 35 indexed citations
18.
Ledezma, Gustavo A. & Adrian Bejan. (1997). Optimal Geometric Arrangement of Staggered Vertical Plates in Natural Convection. Journal of Heat Transfer. 119(4). 700–708. 36 indexed citations
19.
Ledezma, Gustavo A., Alexandru M. Morega, & Adrian Bejan. (1996). Optimal Spacing Between Pin Fins With Impinging Flow. Journal of Heat Transfer. 118(3). 570–577. 66 indexed citations
20.
Ledezma, Gustavo A. & Adrian Bejan. (1996). Heat sinks with sloped plate fins in natural and forced convection. International Journal of Heat and Mass Transfer. 39(9). 1773–1783. 62 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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