Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Homogeneous group 4 metallocene ziegler-natta catalysts: The influence of cyclopentadienyl-ring substituents
Countries citing papers authored by Neil J. Coville
Since
Specialization
Citations
This map shows the geographic impact of Neil J. Coville'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 Neil J. Coville with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil J. Coville more than expected).
This network shows the impact of papers produced by Neil J. Coville. 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 Neil J. Coville. The network helps show where Neil J. Coville may publish in the future.
Co-authorship network of co-authors of Neil J. Coville
This figure shows the co-authorship network connecting the top 25 collaborators of Neil J. Coville.
A scholar is included among the top collaborators of Neil J. Coville 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 Neil J. Coville. Neil J. Coville is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ji, Hongchao, et al.. (2019). Modeling of austenitic grain growth of 21-4N steel. SHILAP Revista de lepidopterología.1 indexed citations
10.
Tetana, Zikhona N., Sabelo D. Mhlanga, George Bepete, Neil J. Coville, & Rui W. M. Krause. (2012). The synthesis of nitrogen-doped multiwalled carbon nanotubes using an Fe-Co/CaCO 3 catalyst : research article. South African Journal of Chemistry. 65(1).1 indexed citations
11.
Tetana, Zikhona N., Sabelo D. Mhlanga, George Bepete, Rui W. M. Krause, & Neil J. Coville. (2012). The Synthesis of Nitrogen-Doped Multiwalled Carbon Nanotubes Using an Fe-Co/CaCO 3 Catalyst. South African Journal of Chemistry. 65(1). 39–49.24 indexed citations
Mhlanga, Sabelo D., et al.. (2009). The Effect of Synthesis Parameters on the Catalytic Synthesis of Multiwalled Carbon Nanotubes using Fe-Co/CaCO 3 Catalysts. South African Journal of Chemistry. 62(1). 67–76.43 indexed citations
15.
Ray, Suprakas Sinha, et al.. (2009). Nanoscience and Nanotechnology in South Africa. SHILAP Revista de lepidopterología.1 indexed citations
16.
Franklyn, Paul J., Demetrius C. Levendis, Neil J. Coville, & M. Mâaza. (2007). Phase Transformation of Hydrothermally Synthesized Nanoparticle TiO 2 : from Anatase to Rutile Nanorods. South African Journal of Chemistry. 60(1). 71–75.11 indexed citations
17.
Moodley, M., et al.. (2006). Synthesis of single walled carbon nanotubes by dual laser vaporization. South African Journal of Science. 102. 364–368.2 indexed citations
Li, Jinlin & Neil J. Coville. (2004). Effect of Calcination and Reduction Temperatures on the Reduction and Activity of Boron-modified Co/TiO 2 Fischer-Tropsch Catalys. South African Journal of Chemistry. 57(1). 49–52.1 indexed citations
20.
Li, Jinlin & Neil J. Coville. (2003). Effect of Cobalt Source on the Catalyst Reducibility and Activity of Boron-modified Co / TiO 2 Fischer-Tropsch Catalysts. South African Journal of Chemistry. 56(1). 1–4.3 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.