Manisha Senadeera

614 total citations
10 papers, 388 citations indexed

About

Manisha Senadeera is a scholar working on Pollution, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Manisha Senadeera has authored 10 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pollution, 2 papers in Aerospace Engineering and 2 papers in Mechanical Engineering. Recurrent topics in Manisha Senadeera's work include High-Temperature Coating Behaviors (2 papers), Additive Manufacturing Materials and Processes (2 papers) and Energy and Environment Impacts (2 papers). Manisha Senadeera is often cited by papers focused on High-Temperature Coating Behaviors (2 papers), Additive Manufacturing Materials and Processes (2 papers) and Energy and Environment Impacts (2 papers). Manisha Senadeera collaborates with scholars based in Australia and China. Manisha Senadeera's co-authors include Vuong Le, Simon Coghlan, Thomas P. Quinn, Sunil Gupta, Santu Rana, Svetha Venkatesh, Wendy Miller, Johnson Chung, Zhilian Yue and Gordon G. Wallace and has published in prestigious journals such as PLoS ONE, Acta Materialia and Journal of Alloys and Compounds.

In The Last Decade

Manisha Senadeera

9 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manisha Senadeera Australia	5	112	89	85	85	61	10	388
Jannik Kossen United Kingdom	2	38 0.3×	49 0.6×	4 0.0×	69 0.8×	8 0.1×	3	307
Jae-Won Lee South Korea	11	29 0.3×	17 0.2×	32 0.4×	11 0.1×	31 0.5×	25	499
Ziyue Xu China	9	34 0.3×	8 0.1×	15 0.2×	66 0.8×	21 0.3×	27	250
Takeshi MURAYAMA Japan	11	62 0.6×	16 0.2×	13 0.2×	7 0.1×	13 0.2×	56	411
Yizhe Xu China	8	58 0.5×	85 1.0×	9 0.1×	22 0.3×	1 0.0×	12	276
Zhenhua Lü China	12	84 0.8×	9 0.1×	142 1.7×	98 1.2×	9 0.1×	38	442
Bo Ouyang China	15	189 1.7×	4 0.0×	7 0.1×	81 1.0×	30 0.5×	53	579
Hannes Götz Kenngott Germany	11	133 1.2×	24 0.3×	9 0.1×	4 0.0×	8 0.1×	21	389
Hassan Iqbal Pakistan	11	25 0.2×	3 0.0×	16 0.2×	99 1.2×	14 0.2×	37	440
Dina M. Ibrahim Egypt	8	144 1.3×	28 0.3×	29 0.3×	8 0.1×	2 0.0×	16	659

Countries citing papers authored by Manisha Senadeera

Since Specialization

Citations

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

Fields of papers citing papers by Manisha Senadeera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Senadeera

This figure shows the co-authorship network connecting the top 25 collaborators of Manisha Senadeera. A scholar is included among the top collaborators of Manisha Senadeera 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 Manisha Senadeera. Manisha Senadeera 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

Han, Jin, Hiroko Fujimoto, Wu Yi Zheng, et al.. (2024). A web-based video messaging intervention for suicide prevention in men: study protocol for a five-armed randomised controlled trial. Trials. 25(1). 466–466.

Senadeera, Manisha, Toan Nguyen, Melanie Nichols, et al.. (2024). Utilising causal inference methods to estimate effects and strategise interventions in observational health data. PLoS ONE. 19(12). e0314761–e0314761. 2 indexed citations

Senadeera, Manisha, Kalani Ruberu, Johnson Chung, et al.. (2024). Machine learning-generated compression modulus database for 3D printing of gelatin methacryloyl. International Journal of Bioprinting. 0(0). 3814–3814. 2 indexed citations

Joseph, Jithin, Manisha Senadeera, Chao Qi, et al.. (2021). Computational design of thermally stable and precipitation-hardened Al-Co-Cr-Fe-Ni-Ti high entropy alloys. Journal of Alloys and Compounds. 888. 161496–161496. 41 indexed citations

Barnett, Matthew, Manisha Senadeera, Daniel Fabijanic, et al.. (2020). A scrap-tolerant alloying concept based on high entropy alloys. Acta Materialia. 200. 735–744. 39 indexed citations

Ruberu, Kalani, Manisha Senadeera, Santu Rana, et al.. (2020). Coupling machine learning with 3D bioprinting to fast track optimisation of extrusion printing. Applied Materials Today. 22. 100914–100914. 125 indexed citations

Quinn, Thomas P., et al.. (2020). Trust and medical AI: the challenges we face and the expertise needed to overcome them. Journal of the American Medical Informatics Association. 28(4). 890–894. 134 indexed citations

Miller, Wendy & Manisha Senadeera. (2017). Social transition from energy consumers to prosumers: Rethinking the purpose and functionality of eco-feedback technologies. Sustainable Cities and Society. 35. 615–625. 40 indexed citations

Senadeera, Manisha & James McGree. (2015). Earth hour energy impact. 5. 1–5. 1 indexed citations

10.

Senadeera, Manisha & Wendy Miller. (2015). Residential electricity costs — Assessment of queensland electricity tariffs for solar households. 2. 1–4. 4 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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