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.
The conversion of lignocellulosics to levulinic acid
2011537 citationsDarryn Rackemann, William O.S. Dohertyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Darryn Rackemann
Since
Specialization
Citations
This map shows the geographic impact of Darryn Rackemann'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 Darryn Rackemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darryn Rackemann more than expected).
Fields of papers citing papers by Darryn Rackemann
This network shows the impact of papers produced by Darryn Rackemann. 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 Darryn Rackemann. The network helps show where Darryn Rackemann may publish in the future.
Co-authorship network of co-authors of Darryn Rackemann
This figure shows the co-authorship network connecting the top 25 collaborators of Darryn Rackemann.
A scholar is included among the top collaborators of Darryn Rackemann 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 Darryn Rackemann. Darryn Rackemann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rackemann, Darryn, et al.. (2016). Evaluation of sucrose loss in evaporators for different processing configurations. International sugar journal.4 indexed citations
12.
Rackemann, Darryn & William O.S. Doherty. (2012). A Review On The Production Of Levulinic Acid And Furanics From Sugars. International sugar journal. 115(1369). 28–34.23 indexed citations
13.
Rackemann, Darryn, et al.. (2011). Development of descriptor tools for the characterization of Australian sugar mill evaporator scale. International sugar journal.3 indexed citations
Doherty, William O.S. & Darryn Rackemann. (2008). Stability of sugarcane juice - a preliminary assessment of the colorimetric method used for phosphate analysis. QUT ePrints (Queensland University of Technology).1 indexed citations
16.
Doherty, William O.S. & Darryn Rackemann. (2008). Some Aspects of Calcium Phosphate Chemistry in Sugarcane Clarification. International sugar journal. 111(1327). 27–32.10 indexed citations
17.
Hassan, N.M.S., M.M.K. Khan, M.G. Rasul, & Darryn Rackemann. (2007). An Experimental Study of Bubble Rise Characteristics in non - Newtonian (Power-Law) Fluids. QUT ePrints (Queensland University of Technology). 1315–1320.5 indexed citations
18.
Rackemann, Darryn, et al.. (2007). A new design of jigger system to improve vacuum pan performance.. International sugar journal. 110(1320). 1564–1572.2 indexed citations
19.
Doherty, William O.S., R. F. Simpson, & Darryn Rackemann. (2007). Enhanced Performance of Caustic Soda Used for the Removal of Scale in Sugar Mill Evaporators. International sugar journal. 110(1314). 344–349.2 indexed citations
20.
Khan, M.M.K., et al.. (2005). Bubble Rise Phenomena through Newtonian and Non-Newtonian Fluids.1 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.