B.D. Conduit

416 total citations
9 papers, 320 citations indexed

About

B.D. Conduit is a scholar working on Mechanical Engineering, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, B.D. Conduit has authored 9 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 4 papers in Aerospace Engineering and 4 papers in Biomedical Engineering. Recurrent topics in B.D. Conduit's work include High Temperature Alloys and Creep (3 papers), Refrigeration and Air Conditioning Technologies (2 papers) and Aluminum Alloy Microstructure Properties (2 papers). B.D. Conduit is often cited by papers focused on High Temperature Alloys and Creep (3 papers), Refrigeration and Air Conditioning Technologies (2 papers) and Aluminum Alloy Microstructure Properties (2 papers). B.D. Conduit collaborates with scholars based in United Kingdom, Italy and Israel. B.D. Conduit's co-authors include H.J. Stone, G. J. Conduit, N.G. Jones, David M. Collins, Robert J. Mitchell, Mark Hardy, S. Baker, James H. Mabe, Siân E. Harding and Othmane Benafan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Scripta Materialia.

In The Last Decade

B.D. Conduit

8 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B.D. Conduit United Kingdom	7	220	127	91	65	65	9	320
Vivek Kumar Barnwal India	11	306 1.4×	152 1.2×	57 0.6×	217 3.3×	21 0.3×	19	381
Robert Tryon United States	9	183 0.8×	109 0.9×	47 0.5×	166 2.6×	11 0.2×	34	300
Insung Hwang South Korea	12	223 1.0×	73 0.6×	58 0.6×	60 0.9×	56 0.9×	38	376
K. Madhusoodanan India	8	194 0.9×	115 0.9×	51 0.6×	110 1.7×	37 0.6×	42	314
Yuxuan Zhang China	8	199 0.9×	106 0.8×	134 1.5×	125 1.9×	15 0.2×	26	420
Anmin Yin China	12	221 1.0×	67 0.5×	54 0.6×	165 2.5×	29 0.4×	42	316
Jianwei Zhao China	12	276 1.3×	139 1.1×	26 0.3×	231 3.6×	22 0.3×	26	341
Yulong Cai China	11	248 1.1×	133 1.0×	72 0.8×	107 1.6×	23 0.4×	13	385
Αλέξανδρος Σολωμού United States	11	66 0.3×	265 2.1×	54 0.6×	46 0.7×	29 0.4×	22	332
Xiaoguang Zhou China	12	269 1.2×	187 1.5×	30 0.3×	180 2.8×	29 0.4×	42	461

Countries citing papers authored by B.D. Conduit

Since Specialization

Citations

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

Fields of papers citing papers by B.D. Conduit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.D. Conduit. 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 B.D. Conduit. The network helps show where B.D. Conduit may publish in the future.

Co-authorship network of co-authors of B.D. Conduit

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Conduit, G. J., B.D. Conduit, Katerina A. Christofidou, et al.. (2022). Design of a Ni-based superalloy for laser repair applications using probabilistic neural network identification. SHILAP Revista de lepidopterología. 3. 3 indexed citations

2.

Conduit, B.D., et al.. (2020). Predicting the Operability of Damaged Compressors Using Machine Learning. Journal of Turbomachinery. 142(5). 10 indexed citations

3.

Conduit, B.D., T. Illston, S. Baker, et al.. (2019). Probabilistic neural network identification of an alloy for direct laser deposition. Materials & Design. 168. 107644–107644. 30 indexed citations

4.

Conduit, B.D., et al.. (2019). Predicting the Operability of Damaged Compressors Using Machine Learning. Apollo (University of Cambridge). 14 indexed citations

5.

Conduit, B.D., N.G. Jones, H.J. Stone, & G. J. Conduit. (2017). Probabilistic design of a molybdenum-base alloy using a neural network. Scripta Materialia. 146. 82–86. 37 indexed citations

6.

Conduit, B.D., N.G. Jones, H.J. Stone, & G. J. Conduit. (2017). Design of a nickel-base superalloy using a neural network. Materials & Design. 131. 358–365. 122 indexed citations

7.

Hartl, Darren J., et al.. (2015). Standardization of shape memory alloy test methods toward certification of aerospace applications. Smart Materials and Structures. 24(8). 82001–82001. 26 indexed citations

8.

Collins, David M., B.D. Conduit, H.J. Stone, et al.. (2013). Grain growth behaviour during near-γ′ solvus thermal exposures in a polycrystalline nickel-base superalloy. Acta Materialia. 61(9). 3378–3391. 77 indexed citations

9.

Conduit, G. J., et al.. (2009). Measurement for a more visible world: colour contrast and visual impairment. Research Repository (Kingston University London). 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.

Explore authors with similar magnitude of impact