J. M. Haile

2.8k citations
44 papers · 2.2k indexed · 1 hit paper · h-index 21

J. M. Haile

44 papers receiving 2.0k citations

Hit Papers

Molecular Dynamics Simulation: Elementary Methods1.1k19932026200420152505007501000

Peers

J. M. Haile
Comparison fields: 5 of 113
  • Fluid Flow and Transfer Processes 427
  • Filtration and Separation 61
  • Statistical and Nonlinear Physics 272
  • Biomedical Engineering 940
  • Materials Chemistry 810
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Citations per field
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Citations per year

Countries citing papers authored by J. M. Haile

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Haile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200584
2
Toward Technical Understanding: Part 4. General Hierarchy Based on the Evolution of Cognition.
20004
3
Toward Technical Understanding: Part 5. General Hierarchy Applied to Engineering Education.
20004
4
Toward Technical Understanding: Part 3. Advanced Levels.
19987
5
Toward Technical Understanding. Part 1: Brain Structure and Function.
199715
6 198830
7 198739
8 198524
9 19843
10 198410
11 198439
12
ChE at Clemson.
19831
13 1983104
14 198210
15 19822
16 198026
17 198018
18 19775
19
Surface Tension and Computer Simulation of Polyatomic Fluids.
19761
20 197640

About J. M. Haile

J. M. Haile is a scholar working on Fluid Flow and Transfer Processes, Statistical and Nonlinear Physics and Biomedical Engineering, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (31 papers), Thermodynamic properties of mixtures (17 papers), Advanced Thermodynamics and Statistical Mechanics (9 papers), Spectroscopy and Quantum Chemical Studies (9 papers), Material Dynamics and Properties (9 papers), Chemical Thermodynamics and Molecular Structure (7 papers), Surfactants and Colloidal Systems (2 papers) and nanoparticles nucleation surface interactions (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (427 citations), Filtration and Separation (61 citations) and Statistical and Nonlinear Physics (272 citations). J. M. Haile has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include A. John Mallinckrodt, Susan McKay, Ian Johnston, John P. O’Connell, Sumnesh Gupta, H. W. Graben, Keith E. Gubbins, Komal Shukla, C.G. Gray and Ariel A. Chialvo. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry and Journal of Computational Physics.

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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