M. E. Lores

485 total citations
20 papers, 376 citations indexed

About

M. E. Lores is a scholar working on Computational Mechanics, Aerospace Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. E. Lores has authored 20 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 9 papers in Aerospace Engineering and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. E. Lores's work include Computational Fluid Dynamics and Aerodynamics (8 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Rocket and propulsion systems research (4 papers). M. E. Lores is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (8 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Rocket and propulsion systems research (4 papers). M. E. Lores collaborates with scholars based in United States. M. E. Lores's co-authors include Ben T. Zinn, Blair A. Keagy, Benson R. Wilcox, Peter J.K. Starek, Gordon F. Murray, Carol L. Lucas, James W. Battaglini, Peter R. Smith, G. William Henry and B.R. Wilcox and has published in prestigious journals such as CHEST Journal, Cardiovascular Research and The Annals of Thoracic Surgery.

In The Last Decade

M. E. Lores

19 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. E. Lores United States 9 179 125 74 70 55 20 376
Olivier Boiron France 12 163 0.9× 117 0.9× 110 1.5× 96 1.4× 43 0.8× 36 461
D.A. Steinman Canada 7 214 1.2× 189 1.5× 136 1.8× 175 2.5× 20 0.4× 15 525
Varun Reddy United States 9 38 0.2× 106 0.8× 74 1.0× 86 1.2× 40 0.7× 14 417
S. Casey Jones United States 6 77 0.4× 213 1.7× 106 1.4× 266 3.8× 48 0.9× 13 548
Sonu S. Varghese Canada 6 129 0.7× 260 2.1× 253 3.4× 236 3.4× 41 0.7× 13 563
R. Pelissier France 10 130 0.7× 119 1.0× 195 2.6× 133 1.9× 11 0.2× 19 367
S.Ø. Wille Norway 10 44 0.2× 206 1.6× 69 0.9× 78 1.1× 7 0.1× 33 361
P. Chaturani India 14 135 0.8× 507 4.1× 138 1.9× 78 1.1× 15 0.3× 43 801
E. J. Roschke United States 9 38 0.2× 167 1.3× 67 0.9× 87 1.2× 72 1.3× 27 325
Matteo Astorino France 8 95 0.5× 270 2.2× 85 1.1× 221 3.2× 11 0.2× 10 539

Countries citing papers authored by M. E. Lores

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Lores

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Lores. 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 M. E. Lores. The network helps show where M. E. Lores may publish in the future.

Co-authorship network of co-authors of M. E. Lores

This figure shows the co-authorship network connecting the top 25 collaborators of M. E. Lores. A scholar is included among the top collaborators of M. E. Lores 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 M. E. Lores. M. E. Lores 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.
Henry, G. William, et al.. (1991). Intraluminal Pulsed Doppler Evaluation of the Pulmonary Artery Velocity Time Curve in a Canine Model of Acute Pulmonary Hypertension. CHEST Journal. 100(2). 474–479. 2 indexed citations
2.
Henry, G. William, Carol L. Lucas, Blair A. Keagy, et al.. (1986). Characteristics of blood flow velocity in the hypertensive canine pulmonary artery. Ultrasound in Medicine & Biology. 12(5). 379–385. 13 indexed citations
3.
Johnson, Timothy A., G. William Henry, Carol L. Lucas, et al.. (1985). Two-dimensional in vivo pressure/diameter relationships in the canine main pulmonary artery. Cardiovascular Research. 19(7). 442–448. 11 indexed citations
4.
Keagy, Blair A., Carol L. Lucas, G. William Henry, M. E. Lores, & Benson R. Wilcox. (1985). Changes in ventricular hemodynamics caused by a systemic-pulmonary shunt. Journal of Surgical Research. 39(4). 294–299. 2 indexed citations
5.
Keagy, Blair A., M. E. Lores, Peter J.K. Starek, et al.. (1985). Elective Pulmonary Lobectomy: Factors Associated with Morbidity and Operative Mortality. The Annals of Thoracic Surgery. 40(4). 349–352. 111 indexed citations
6.
Lores, M. E., et al.. (1985). Cardiovascular Effects of Positive End-Expiratory Pressure (PEEP) after Pneumonectomy in Dogs. The Annals of Thoracic Surgery. 40(5). 464–468. 6 indexed citations
7.
Keagy, Blair A., Gordon F. Murray, Peter J.K. Starek, et al.. (1984). Esophagogastrectomy as Palliative Treatment for Esophageal Carcinoma: Results Obtained in the Setting of a Thoracic Surgery Residency Program. The Annals of Thoracic Surgery. 38(6). 611–616. 17 indexed citations
8.
Henry, Gregory W., Timothy A. Johnson, H. S. Hsiao, et al.. (1984). Velocity profile in the main pulmonary artery in a canine model. Cardiovascular Research. 18(10). 620–625. 15 indexed citations
9.
Keagy, Blair A., Peter J.K. Starek, Gordon F. Murray, et al.. (1984). Major Pulmonary Resection for Suspected but Unconfirmed Malignancy. The Annals of Thoracic Surgery. 38(4). 314–316. 47 indexed citations
10.
Lores, M. E., et al.. (1983). Evaluation of 3-D Graphics Software: A Case Study. IEEE Computer Graphics and Applications. 3(8). 73–77. 1 indexed citations
12.
Lores, M. E., et al.. (1980). Numerical optimization - An assessment of its role in transport aircraft aerodynamic design through a case study. NASA Technical Reports Server (NASA). 3 indexed citations
13.
Lores, M. E., Peter R. Smith, & R. M. Hicks. (1979). Supercritical wing design using numerical optimization and comparisons with experiment. 11 indexed citations
14.
Lores, M. E., Paul Smith, & R. M. Hicks. (1979). Supercritical wing design using numerical optimization and comparisons with experiment<149>to improve C-141 cruise performance. 17th Aerospace Sciences Meeting. 2 indexed citations
15.
Lores, M. E., et al.. (1978). Analysis of a theoretically optimized transonic airfoil. NASA STI Repository (National Aeronautics and Space Administration). 3 indexed citations
16.
Lores, M. E. & B. Zinn. (1973). Nonlinear longitudinal combustion instability in rocket motors. 4 indexed citations
17.
Lores, M. E. & Ben T. Zinn. (1973). Nonlinear Longitudinal Combustion Instability in Rocket Motors. Combustion Science and Technology. 7(6). 245–256. 33 indexed citations
18.
Lores, M. E. & Ben T. Zinn. (1972). The prediction of nonlinear longitudinal combustion instability in liquid propellant rockets. NASA STI Repository (National Aeronautics and Space Administration). 4 indexed citations
19.
Zinn, Ben T. & M. E. Lores. (1971). Application of the Galerkin Method in the Solution of Non-linear Axial Combustion Instability Problems in Liquid Rockets. Combustion Science and Technology. 4(1). 269–278. 85 indexed citations
20.
Lores, M. E., et al.. (1970). Transonic buffet characteristics of a 60-deg swept wing with design variations. Journal of Aircraft. 7(6). 524–530. 3 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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