Ralph M. DiGuilio

471 total citations
9 papers, 403 citations indexed

About

Ralph M. DiGuilio is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Ralph M. DiGuilio has authored 9 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Fluid Flow and Transfer Processes, 4 papers in Biomedical Engineering and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Ralph M. DiGuilio's work include Phase Equilibria and Thermodynamics (4 papers), Thermodynamic properties of mixtures (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). Ralph M. DiGuilio is often cited by papers focused on Phase Equilibria and Thermodynamics (4 papers), Thermodynamic properties of mixtures (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). Ralph M. DiGuilio collaborates with scholars based in United States. Ralph M. DiGuilio's co-authors include Amyn S. Teja and Tongfan Sun and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Journal of Chemical & Engineering Data and International Journal of Thermophysics.

In The Last Decade

Ralph M. DiGuilio

9 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ralph M. DiGuilio United States	8	230	203	185	80	67	9	403
Alejandra Mariano Argentina	13	385 1.7×	248 1.2×	121 0.7×	61 0.8×	62 0.9×	22	470
Mayur Mundhwa Canada	11	179 0.8×	152 0.7×	144 0.8×	203 2.5×	39 0.6×	13	400
Sushilendra S. Katti India	6	123 0.5×	118 0.6×	128 0.7×	24 0.3×	144 2.1×	11	348
Roghayeh Majdan-Cegincara Iran	10	198 0.9×	229 1.1×	84 0.5×	212 2.6×	127 1.9×	22	445
I. Johnson Portugal	10	227 1.0×	196 1.0×	57 0.3×	94 1.2×	34 0.5×	14	372
Viktor Ermatchkov Germany	11	379 1.6×	156 0.8×	417 2.3×	53 0.7×	36 0.5×	17	572
Renaud Cadours France	11	229 1.0×	78 0.4×	426 2.3×	121 1.5×	19 0.3×	27	547
Manuel Kerscher Germany	13	253 1.1×	149 0.7×	89 0.5×	62 0.8×	13 0.2×	22	396
Oriol Vilaseca Spain	6	444 1.9×	234 1.2×	144 0.8×	348 4.3×	45 0.7×	6	512
Midong Shi China	12	149 0.6×	135 0.7×	61 0.3×	81 1.0×	163 2.4×	27	481

Countries citing papers authored by Ralph M. DiGuilio

Since Specialization

Citations

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

Fields of papers citing papers by Ralph M. DiGuilio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralph M. DiGuilio

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

DiGuilio, Ralph M. & Amyn S. Teja. (1992). A rough hard-sphere model for the thermal conductivity of molten salts. International Journal of Thermophysics. 13(5). 855–871. 45 indexed citations

2.

Sun, Tongfan, Ralph M. DiGuilio, & Amyn S. Teja. (1992). Densities and viscosities of four butanediols between 293 and 463 K. Journal of Chemical & Engineering Data. 37(2). 246–248. 40 indexed citations

3.

DiGuilio, Ralph M. & Amyn S. Teja. (1992). The thermal conductivity of the molten NaNO3-KNO3 eutectic between 525 and 590 K. International Journal of Thermophysics. 13(4). 575–592. 10 indexed citations

4.

DiGuilio, Ralph M. & Amyn S. Teja. (1992). Thermal conductivity of aqueous salt solutions at high temperatures and high concentrations. Industrial & Engineering Chemistry Research. 31(4). 1081–1085. 22 indexed citations

5.

DiGuilio, Ralph M., et al.. (1992). Densities and viscosities of the ethanolamines. Journal of Chemical & Engineering Data. 37(2). 239–242. 126 indexed citations

6.

DiGuilio, Ralph M., et al.. (1992). Thermal conductivities of the ethanolamines. Journal of Chemical & Engineering Data. 37(2). 242–245. 43 indexed citations

7.

DiGuilio, Ralph M.. (1990). Properties of Lithium Bromide-Water Solutions at High Temperatures and Concentrations-I. Thermal Conductivity. ASHRAE winter conference papers. 96. 702–708. 52 indexed citations

8.

DiGuilio, Ralph M. & Amyn S. Teja. (1990). Thermal conductivity of poly(ethylene glycols) and their binary mixtures. Journal of Chemical & Engineering Data. 35(2). 117–121. 63 indexed citations

9.

DiGuilio, Ralph M. & Amyn S. Teja. (1988). Correlation and prediction of the surface tensions of mixtures. The Chemical Engineering Journal. 38(3). 205–208. 2 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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