Ian D.R. Mackinnon

3.4k total citations
155 papers, 2.4k citations indexed

About

Ian D.R. Mackinnon is a scholar working on Materials Chemistry, Condensed Matter Physics and Astronomy and Astrophysics. According to data from OpenAlex, Ian D.R. Mackinnon has authored 155 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Materials Chemistry, 37 papers in Condensed Matter Physics and 35 papers in Astronomy and Astrophysics. Recurrent topics in Ian D.R. Mackinnon's work include Astro and Planetary Science (32 papers), Clay minerals and soil interactions (27 papers) and Physics of Superconductivity and Magnetism (25 papers). Ian D.R. Mackinnon is often cited by papers focused on Astro and Planetary Science (32 papers), Clay minerals and soil interactions (27 papers) and Physics of Superconductivity and Magnetism (25 papers). Ian D.R. Mackinnon collaborates with scholars based in Australia, United States and Japan. Ian D.R. Mackinnon's co-authors include Frans J. M. Rietmeijer, José A. Alarco, Peter C. Talbot, Balwant Singh, Atit Bhargava, Yunfei Xi, Mahnaz Shafiei, Sen Wang, Graeme J. Millar and Alexander Ilyushechkin and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and Geochimica et Cosmochimica Acta.

In The Last Decade

Ian D.R. Mackinnon

148 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian D.R. Mackinnon Australia 29 690 464 368 355 295 155 2.4k
G. Parthasarathy India 26 1.4k 2.1× 166 0.4× 225 0.6× 725 2.0× 494 1.7× 157 3.0k
William L. Bourcier United States 31 527 0.8× 375 0.8× 107 0.3× 427 1.2× 338 1.1× 83 3.1k
Bruce S. Hemingway United States 34 874 1.3× 233 0.5× 445 1.2× 1.3k 3.8× 71 0.2× 84 2.8k
R. C. Peterson Canada 20 589 0.9× 153 0.3× 123 0.3× 286 0.8× 154 0.5× 71 1.4k
Hiroshi Sakuma Japan 24 384 0.6× 67 0.1× 250 0.7× 350 1.0× 111 0.4× 96 1.8k
A. Beran Austria 30 659 1.0× 90 0.2× 410 1.1× 1.2k 3.5× 249 0.8× 100 2.6k
Eleonora Paris Italy 27 711 1.0× 71 0.2× 107 0.3× 691 1.9× 176 0.6× 112 2.0k
M. Tribaudino Italy 27 708 1.0× 179 0.4× 182 0.5× 1.2k 3.5× 103 0.3× 139 2.3k
Hexiong Yang United States 27 830 1.2× 181 0.4× 186 0.5× 1.0k 2.9× 90 0.3× 125 2.0k
Z. Homonnay Hungary 22 909 1.3× 123 0.3× 94 0.3× 257 0.7× 323 1.1× 284 2.4k

Countries citing papers authored by Ian D.R. Mackinnon

Since Specialization
Citations

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

Fields of papers citing papers by Ian D.R. Mackinnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian D.R. Mackinnon. 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 Ian D.R. Mackinnon. The network helps show where Ian D.R. Mackinnon may publish in the future.

Co-authorship network of co-authors of Ian D.R. Mackinnon

This figure shows the co-authorship network connecting the top 25 collaborators of Ian D.R. Mackinnon. A scholar is included among the top collaborators of Ian D.R. Mackinnon 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 Ian D.R. Mackinnon. Ian D.R. Mackinnon 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.
Wang, Bruce, A. Bianconi, Ian D.R. Mackinnon, & José A. Alarco. (2024). Superlattice Symmetries Reveal Electronic Topological Transition in CaC6 with Pressure. Crystals. 14(6). 554–554. 1 indexed citations
2.
Bianconi, A., et al.. (2024). Superlattice Delineated Fermi Surface Nesting and Electron-Phonon Coupling in CaC6. Crystals. 14(6). 499–499. 2 indexed citations
3.
Alarco, José A., et al.. (2023). Direct spectroscopic observation of the reversible redox mechanism in A3V2(PO4)3(A=Li,Na) cathode materials for Li-ion batteries. Journal of Power Sources. 571. 233078–233078. 7 indexed citations
4.
Alarco, José A. & Ian D.R. Mackinnon. (2023). Superlattices, Bonding-Antibonding, Fermi Surface Nesting, and Superconductivity. Condensed Matter. 8(3). 72–72. 2 indexed citations
5.
Shahbazi, Mahboobeh, et al.. (2023). Impact of hair-derived carbon substitution on structural and superconducting properties of MgB2. AIP Advances. 13(12). 1 indexed citations
6.
Alarco, José A., et al.. (2022). Regulation of surface oxygen activity in Li-rich layered cathodes using band alignment of vanadium phosphate surface coatings. Journal of Materials Chemistry A. 10(46). 24487–24509. 11 indexed citations
7.
Zhang, Yin, et al.. (2021). Nanoscale differentiation of surfaces and cores for olivine phosphate particles—a key characteristic of practical battery materials. Journal of Physics Energy. 3(3). 32004–32004. 9 indexed citations
8.
Alarco, José A., et al.. (2021). Validating the Electronic Structure of Vanadium Phosphate Cathode Materials. ACS Applied Materials & Interfaces. 13(38). 45505–45520. 21 indexed citations
10.
Alarco, José A., et al.. (2019). Progress Towards a Universal Approach for Prediction of the Superconducting Transition Temperature. Journal of Superconductivity and Novel Magnetism. 33(8). 2287–2292. 6 indexed citations
11.
Sauerschnig, Philipp, Joshua Watts, Jean‐Baptiste Vaney, et al.. (2019). Thermoelectric properties of phase pure boron carbide prepared by a solution-based method. Advances in Applied Ceramics Structural Functional and Bioceramics. 119(2). 97–106. 12 indexed citations
12.
Alarco, José A., et al.. (2018). Spectroscopy of metal hexaborides: Phonon dispersion models. Journal of Raman Spectroscopy. 49(12). 1985–1998. 9 indexed citations
13.
Mackinnon, Ian D.R., Mohammad‐Ali Shahbazi, José A. Alarco, & Peter C. Talbot. (2017). Low temperature decomposition of metal borohydride drives autogenous synthesis of MgB2. Superconductor Science and Technology. 30(5). 55004–55004. 10 indexed citations
14.
Alarco, José A., Peter C. Talbot, & Ian D.R. Mackinnon. (2017). A Complete and Accurate Description of Superconductivity of AlB2-Type Structures from Phonon Dispersion Calculations. Journal of Superconductivity and Novel Magnetism. 31(3). 727–731. 7 indexed citations
15.
Mackinnon, Ian D.R.. (2014). Synthesis of MgB2 at Low Temperature and Autogenous Pressure. MDPI (MDPI AG). 12 indexed citations
16.
Mackinnon, Ian D.R., et al.. (1990). Titanium-oxide magneli phases in four chondritic porous interplanetary dust particles. 20. 323–333. 5 indexed citations
17.
Mackinnon, Ian D.R., et al.. (1990). Trace phases in CI chondrites Alais and Orgueil. Meteoritics and Planetary Science. 25. 381. 6 indexed citations
18.
FitzGerald, John, John B. Parise, & Ian D.R. Mackinnon. (1986). Average structure of an An 48 plagioclase from the Hogarth Ranges. American Mineralogist. 71. 1399–1408. 31 indexed citations
19.
Zolensky, M. E., et al.. (1985). Accurate Stratospheric Particle Size Distributions from Two Separate Flat-Plate Collection Surfaces: can we See Variations with Time?. LPI. 938–939. 1 indexed citations
20.
Rietmeijer, Frans J. M. & Ian D.R. Mackinnon. (1984). Diagenesis in interplanetary dust - chondritic porous aggregate w7029-star-a. Meteoritics and Planetary Science. 19. 157. 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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