Flora Markis

704 total citations
10 papers, 597 citations indexed

About

Flora Markis is a scholar working on Fluid Flow and Transfer Processes, Food Science and Computational Mechanics. According to data from OpenAlex, Flora Markis has authored 10 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Fluid Flow and Transfer Processes, 9 papers in Food Science and 7 papers in Computational Mechanics. Recurrent topics in Flora Markis's work include Polysaccharides Composition and Applications (9 papers), Rheology and Fluid Dynamics Studies (9 papers) and Granular flow and fluidized beds (7 papers). Flora Markis is often cited by papers focused on Polysaccharides Composition and Applications (9 papers), Rheology and Fluid Dynamics Studies (9 papers) and Granular flow and fluidized beds (7 papers). Flora Markis collaborates with scholars based in Australia and France. Flora Markis's co-authors include Nicky Eshtiaghi, Paul Slatter, J.C. Baudez, S.D. Yap and Rajarathinam Parthasarathy and has published in prestigious journals such as Water Research, Chemical Engineering Journal and Water Science & Technology.

In The Last Decade

Flora Markis

10 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Flora Markis Australia	8	285	164	150	145	127	10	597
S.D. Yap Australia	7	239 0.8×	82 0.5×	163 1.1×	62 0.4×	133 1.0×	9	514
Sam Clayton Australia	9	129 0.5×	55 0.3×	92 0.6×	42 0.3×	93 0.7×	13	516
Émilie Dieudé-Fauvel France	10	228 0.8×	39 0.2×	71 0.5×	27 0.2×	62 0.5×	16	400
Wouter Naessens Belgium	7	311 1.1×	44 0.3×	64 0.4×	29 0.2×	150 1.2×	15	494
Rainier Hreiz France	12	191 0.7×	232 1.4×	66 0.4×	11 0.1×	216 1.7×	28	785
Artur Krzysztof Pozarlik Netherlands	14	45 0.2×	264 1.6×	41 0.3×	149 1.0×	317 2.5×	58	700
Mehul Vesvikar United States	9	143 0.5×	106 0.6×	143 1.0×	17 0.1×	194 1.5×	15	372
Fouad Azizi Lebanon	21	192 0.7×	208 1.3×	12 0.1×	56 0.4×	501 3.9×	37	883
A. Bahillo Spain	11	29 0.1×	196 1.2×	60 0.4×	29 0.2×	451 3.6×	20	735
Heping Cui Canada	16	58 0.2×	686 4.2×	19 0.1×	53 0.4×	480 3.8×	24	1.1k

Countries citing papers authored by Flora Markis

Since Specialization

Citations

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

Fields of papers citing papers by Flora Markis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flora Markis

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

All Works

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10 of 10 papers shown

Eshtiaghi, Nicky, et al.. (2016). Predicting the apparent viscosity and yield stress of digested and secondary sludge mixtures. Water Research. 95. 159–164. 16 indexed citations

Markis, Flora, J.C. Baudez, Rajarathinam Parthasarathy, Paul Slatter, & Nicky Eshtiaghi. (2016). Predicting the apparent viscosity and yield stress of mixtures of primary, secondary and anaerobically digested sewage sludge: Simulating anaerobic digesters. Water Research. 100. 568–579. 28 indexed citations

Markis, Flora, J.C. Baudez, Rajarathinam Parthasarathy, Paul Slatter, & Nicky Eshtiaghi. (2015). The apparent viscosity and yield stress of mixtures of primary and secondary sludge: Impact of volume fraction of secondary sludge and total solids concentration. Chemical Engineering Journal. 288. 577–587. 25 indexed citations

Markis, Flora, J.C. Baudez, Rajarathinam Parthasarathy, Paul Slatter, & Nicky Eshtiaghi. (2014). Rheological characterisation of primary and secondary sludge: Impact of solids concentration. Chemical Engineering Journal. 253. 526–537. 75 indexed citations

Markis, Flora, et al.. (2013). Rheological characterisation of blends of primary and secondary sludge. 500. 4 indexed citations

Eshtiaghi, Nicky, Flora Markis, J.C. Baudez, & Paul Slatter. (2013). Proxy model materials to simulate the elastic properties of digested municipal sludge. Water Research. 47(15). 5557–5563. 7 indexed citations

Eshtiaghi, Nicky, Flora Markis, S.D. Yap, J.C. Baudez, & Paul Slatter. (2013). Rheological characterisation of municipal sludge: A review. Water Research. 47(15). 5493–5510. 219 indexed citations

Eshtiaghi, Nicky, S.D. Yap, Flora Markis, J.C. Baudez, & Paul Slatter. (2012). Clear model fluids to emulate the rheological properties of thickened digested sludge. Water Research. 46(9). 3014–3022. 68 indexed citations

Eshtiaghi, Nicky, Flora Markis, & Paul Slatter. (2012). The laminar/turbulent transition in a sludge pipeline. Water Science & Technology. 65(4). 697–702. 31 indexed citations

10.

Baudez, J.C., Flora Markis, Nicky Eshtiaghi, & Paul Slatter. (2011). The rheological behaviour of anaerobic digested sludge. Water Research. 45(17). 5675–5680. 124 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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