James D. Heidmann

1.4k total citations
46 papers, 1.1k citations indexed

About

James D. Heidmann is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, James D. Heidmann has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computational Mechanics, 39 papers in Aerospace Engineering and 35 papers in Mechanical Engineering. Recurrent topics in James D. Heidmann's work include Turbomachinery Performance and Optimization (37 papers), Heat Transfer Mechanisms (35 papers) and Fluid Dynamics and Turbulent Flows (25 papers). James D. Heidmann is often cited by papers focused on Turbomachinery Performance and Optimization (37 papers), Heat Transfer Mechanisms (35 papers) and Fluid Dynamics and Turbulent Flows (25 papers). James D. Heidmann collaborates with scholars based in United States and Egypt. James D. Heidmann's co-authors include Srinath V. Ekkad, David L. Rigby, Erlendur Steinthorsson, Ali Ameri, Eduardo Divo, Alain J. Kassab, Yiping Lu, Alok Dhungel, Je-Chin Han and Guoguang Su and has published in prestigious journals such as International Journal of Heat and Mass Transfer, AIAA Journal and Journal of Propulsion and Power.

In The Last Decade

James D. Heidmann

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James D. Heidmann United States	18	960	954	939	34	23	46	1.1k
C. W. Haldeman United States	20	863 0.9×	790 0.8×	511 0.5×	42 1.2×	11 0.5×	86	954
Reinhard Niehuis Germany	16	1.1k 1.1×	875 0.9×	518 0.6×	58 1.7×	33 1.4×	153	1.2k
Dong-Ho Rhee South Korea	18	658 0.7×	677 0.7×	850 0.9×	68 2.0×	28 1.2×	83	969
Michael Gritsch Germany	22	1.8k 1.9×	1.6k 1.7×	1.8k 1.9×	31 0.9×	10 0.4×	39	1.9k
G. R. Guenette United States	15	742 0.8×	673 0.7×	528 0.6×	77 2.3×	15 0.7×	30	886
T. I‐P. Shih United States	17	619 0.6×	796 0.8×	780 0.8×	50 1.5×	10 0.4×	47	990
Hee Koo Moon United States	23	999 1.0×	1.2k 1.3×	1.5k 1.5×	109 3.2×	24 1.0×	68	1.6k
A. H. Epstein United States	12	653 0.7×	541 0.6×	434 0.5×	68 2.0×	13 0.6×	20	780
Xavier Ottavy France	17	760 0.8×	621 0.7×	447 0.5×	22 0.6×	13 0.6×	77	850
Hui‐ren Zhu China	19	1.0k 1.1×	842 0.9×	1.0k 1.1×	23 0.7×	4 0.2×	118	1.1k

Countries citing papers authored by James D. Heidmann

Since Specialization

Citations

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

Fields of papers citing papers by James D. Heidmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Heidmann. 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 James D. Heidmann. The network helps show where James D. Heidmann may publish in the future.

Co-authorship network of co-authors of James D. Heidmann

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

All Works

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20 of 20 papers shown

El-Gabry, Lamyaa A., Douglas Thurman, Philip E. Poinsatte, & James D. Heidmann. (2013). Detailed Velocity and Turbulence Measurements in an Inclined Large-Scale Film Cooling Array. Journal of Turbomachinery. 135(6). 4 indexed citations

El-Gabry, Lamyaa A., James D. Heidmann, & Ali Ameri. (2013). Numerical Analysis of Film Cooling at High Blowing Ratio. NASA Technical Reports Server (NASA). 2 indexed citations

Hughes, Christopher E., et al.. (2011). Aircraft Engine Technology for Green Aviation to Reduce Fuel Burn. 27 indexed citations

Ameri, Ali, et al.. (2010). Unsteady Analysis of Blade and Tip Heat Transfer as Influenced by the Upstream Momentum and Thermal Wakes. Journal of Turbomachinery. 132(4). 10 indexed citations

El-Gabry, Lamyaa A., James D. Heidmann, & Ali Ameri. (2010). Penetration Characteristics of Film-Cooling Jets at High Blowing Ratio. AIAA Journal. 48(5). 1020–1024. 5 indexed citations

Heidmann, James D.. (2008). A Numerical Study of Anti-Vortex Film Cooling Designs at High Blowing Ratio. Volume 4: Heat Transfer, Parts A and B. 789–799. 39 indexed citations

Rigby, David L. & James D. Heidmann. (2008). Improved Film Cooling Effectiveness by Placing a Vortex Generator Downstream of Each Hole. Volume 4: Heat Transfer, Parts A and B. 40 indexed citations

Thurman, Douglas, Philip E. Poinsatte, & James D. Heidmann. (2008). Heat Transfer Measurements for a Film Cooled Turbine Vane Cascade. Volume 4: Heat Transfer, Parts A and B. 605–613. 6 indexed citations

Heidmann, James D. & Srinath V. Ekkad. (2008). A Novel Antivortex Turbine Film-Cooling Hole Concept. Journal of Turbomachinery. 130(3). 116 indexed citations

10.

Ameri, Ali, et al.. (2008). Unsteady Analysis of Blade and Tip Heat Transfer as Influenced by the Upstream Momentum and Thermal Wakes. Volume 4: Heat Transfer, Parts A and B. 1095–1103. 15 indexed citations

11.

Dhungel, Alok, et al.. (2007). Film Cooling From a Row of Holes Supplemented With Anti Vortex Holes. 375–384. 21 indexed citations

12.

Heidmann, James D. & Srinath V. Ekkad. (2007). A Novel Anti-Vortex Turbine Film Cooling Hole Concept. 487–496. 118 indexed citations

13.

Heidmann, James D. & David L. Rigby. (2004). TopMaker: A Technique for Automatic Multi-Block Topology Generation Using the Medial Axis. NASA Technical Reports Server (NASA). 9 indexed citations

14.

Su, Guoguang, Hamn‐Ching Chen, Je-Chin Han, & James D. Heidmann. (2004). Computation of flow and heat transfer in rotating two-pass rectangular channels (AR=1:1, 1:2, and 1:4) with smooth walls by a Reynolds stress turbulence model. International Journal of Heat and Mass Transfer. 47(26). 5665–5683. 50 indexed citations

15.

Kapadia, Sagar, Subrata Roy, & James D. Heidmann. (2004). First Hybrid Turbulence Modeling for Turbine Blade Cooling. Journal of Thermophysics and Heat Transfer. 18(1). 154–156. 14 indexed citations

16.

Kapadia, Sagar, Subrata Roy, & James D. Heidmann. (2003). Detached Eddy Simulation of Turbine Blade Cooling. 16 indexed citations

17.

Divo, Eduardo, et al.. (2003). Glenn-ht/bem Conjugate Heat Transfer Solver for Large-scale Turbomachinery Models. NASA Technical Reports Server (NASA). 17 indexed citations

18.

Heidmann, James D. & Raymond E. Gaugler. (1999). LeRC-HT: NASA Lewis Research Center General Multiblock Navier-Stokes Heat Transfer Code Developed. 2 indexed citations

19.

Heidmann, James D., et al.. (1997). An Experimental Study of the Effect of Wake Passing on Turbine Blade Film Cooling. Volume 3: Heat Transfer; Electric Power; Industrial and Cogeneration. 32 indexed citations

20.

Heidmann, James D., et al.. (1990). An Analysis of the Viscous Flow Through a Compact Radial Turbine by the Average Passage Approach. Volume 1: Turbomachinery. 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.

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