N. Austin

470 total citations
11 papers, 292 citations indexed

About

N. Austin is a scholar working on Control and Systems Engineering, Mechanical Engineering and Organic Chemistry. According to data from OpenAlex, N. Austin has authored 11 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 5 papers in Mechanical Engineering and 4 papers in Organic Chemistry. Recurrent topics in N. Austin's work include Refrigeration and Air Conditioning Technologies (4 papers), Process Optimization and Integration (4 papers) and Computational Drug Discovery Methods (3 papers). N. Austin is often cited by papers focused on Refrigeration and Air Conditioning Technologies (4 papers), Process Optimization and Integration (4 papers) and Computational Drug Discovery Methods (3 papers). N. Austin collaborates with scholars based in United States. N. Austin's co-authors include Daniel W. Trahan, Nikolaos V. Sahinidis, Ivan A. Konstantinov, David Slocum, Matthew Davie and Rene Jonk and has published in prestigious journals such as Chemical Engineering Science, AIChE Journal and Synthesis.

In The Last Decade

N. Austin

10 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. Austin United States	5	145	110	92	70	62	11	292
Lorenz Fleitmann Germany	9	124 0.9×	49 0.4×	66 0.7×	95 1.4×	62 1.0×	16	304
Sawitree Kalakul Denmark	7	129 0.9×	60 0.5×	52 0.6×	69 1.0×	58 0.9×	8	272
Abdulelah S. Alshehri Saudi Arabia	8	76 0.5×	115 1.0×	164 1.8×	40 0.6×	29 0.5×	17	328
Joan Cordiner United Kingdom	11	96 0.7×	30 0.3×	109 1.2×	65 0.9×	39 0.6×	30	402
Martin Hostrup Denmark	4	163 1.1×	35 0.3×	44 0.5×	68 1.0×	40 0.6×	5	245
Peter M. Harper Denmark	6	312 2.2×	92 0.8×	98 1.1×	135 1.9×	104 1.7×	8	489
Peter Crafts United Kingdom	6	62 0.4×	38 0.3×	176 1.9×	100 1.4×	40 0.6×	9	305
Srinivas Rangarajan United States	11	97 0.7×	51 0.5×	158 1.7×	172 2.5×	17 0.3×	13	420
Samir Diab United Kingdom	12	117 0.8×	33 0.3×	112 1.2×	116 1.7×	49 0.8×	29	305
Marina Stavrou Germany	5	124 0.9×	35 0.3×	42 0.5×	225 3.2×	21 0.3×	7	381

Countries citing papers authored by N. Austin

Since Specialization

Citations

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

Fields of papers citing papers by N. Austin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Austin. 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 N. Austin. The network helps show where N. Austin may publish in the future.

Co-authorship network of co-authors of N. Austin

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

All Works

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11 of 11 papers shown

Austin, N.. (2021). The case for a common software library and a set of enumerated benchmark problems in computer-aided molecular design. Current Opinion in Chemical Engineering. 35. 100724–100724. 3 indexed citations

Austin, N., Nikolaos V. Sahinidis, Ivan A. Konstantinov, & Daniel W. Trahan. (2017). COSMO‐based computer‐aided molecular/mixture design: A focus on reaction solvents. AIChE Journal. 64(1). 104–122. 40 indexed citations

Austin, N.. (2016). Experimental Performance Comparison of R134a and R600a Refrigerants in Vapour Compression Refrigeration System at Steady State Condition. 2(3). 14–20. 1 indexed citations

Austin, N., Nikolaos V. Sahinidis, & Daniel W. Trahan. (2016). Computer-aided molecular design: An introduction and review of tools, applications, and solution techniques. Process Safety and Environmental Protection. 116. 2–26. 158 indexed citations

Austin, N.. (2016). Different Refrigerants and their Impact on Vapour-Compression Refrigeration Systems. 2(3). 29–39. 4 indexed citations

Austin, N., Nikolaos V. Sahinidis, & Daniel W. Trahan. (2016). A COSMO-based approach to computer-aided mixture design. Chemical Engineering Science. 159. 93–105. 58 indexed citations

Austin, N., et al.. (2015). Mixture design using derivative‐free optimization in the space of individual component properties. AIChE Journal. 62(5). 1514–1530. 19 indexed citations

Austin, N., et al.. (2014). Environment Friendly Mixed Refrigerant to Replace R-134a in a VCR System with Exergy Analysis. Advanced materials research. 984-985. 1174–1179. 1 indexed citations

Austin, N.. (2013). Artificial Neural Network Involved in the Action of Optimum Mixed Refrigerant (Domestic Refrigerator). International Journal of Engineering. 26(10 (A)). 3 indexed citations

10.

Jonk, Rene, et al.. (2013). Integrated Geological, Petrophysical and Geophysical Characterisation of a World Class Shale Gas Play, Horn River Basin, British Columbia, Canada. International Petroleum Technology Conference.

11.

Slocum, David, et al.. (2012). Near-Ambient Temperature Halogen-Lithium Exchange of p-Bromoanisole and Related Substrates: Flow/Batch Studies. Synthesis. 44(16). 2531–2536. 5 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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