David Melvin

2.2k total citations
10 papers, 418 citations indexed

About

David Melvin is a scholar working on Molecular Biology, Control and Systems Engineering and Epidemiology. According to data from OpenAlex, David Melvin has authored 10 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Control and Systems Engineering and 2 papers in Epidemiology. Recurrent topics in David Melvin's work include Neural Networks and Applications (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). David Melvin is often cited by papers focused on Neural Networks and Applications (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). David Melvin collaborates with scholars based in United Kingdom, Germany and France. David Melvin's co-authors include Zemin Ning, Allan Bradley, Dong Lu, Wei Wang, Tony Cox, Xiaozhong Wang, Pentao Liu, Ann‐Marie Mallon, Hugh W. Morgan and Natasha A. Karp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

David Melvin

8 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Melvin United Kingdom	5	358	112	47	17	17	10	418
John Yong United States	5	492 1.4×	68 0.6×	25 0.5×	15 0.9×	40 2.4×	8	579
Kristján Eldjárn Hjörleifsson Iceland	5	229 0.6×	72 0.6×	41 0.9×	14 0.8×	18 1.1×	6	336
Cynthia Dennis France	10	603 1.7×	154 1.4×	156 3.3×	19 1.1×	17 1.0×	14	685
James Y.S. Kim United States	2	397 1.1×	81 0.7×	37 0.8×	30 1.8×	11 0.6×	2	442
Craig S. Hinkley United States	11	540 1.5×	122 1.1×	52 1.1×	28 1.6×	11 0.6×	16	609
David Landeira Spain	12	479 1.3×	64 0.6×	55 1.2×	22 1.3×	4 0.2×	19	624
Karolina Piotrowska United Kingdom	9	823 2.3×	223 2.0×	31 0.7×	17 1.0×	10 0.6×	10	1.0k
Tanmoy Roychowdhury India	8	183 0.5×	84 0.8×	62 1.3×	14 0.8×	4 0.2×	11	326
Sivaprakash Ramalingam India	12	414 1.2×	100 0.9×	65 1.4×	16 0.9×	3 0.2×	38	498
Nicolas Dénervaud Switzerland	6	531 1.5×	70 0.6×	72 1.5×	23 1.4×	39 2.3×	7	602

Countries citing papers authored by David Melvin

Since Specialization

Citations

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

Fields of papers citing papers by David Melvin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Melvin

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

1.

Karp, Natasha A., et al.. (2012). Robust and Sensitive Analysis of Mouse Knockout Phenotypes. PLoS ONE. 7(12). e52410–e52410. 24 indexed citations

2.

Mallon, Ann‐Marie, Vivek Iyer, David Melvin, et al.. (2012). Accessing data from the International Mouse Phenotyping Consortium: state of the art and future plans. Mammalian Genome. 23(9-10). 641–652. 24 indexed citations

3.

Morgan, Hugh W., Tim Beck, Andrew Blake, et al.. (2009). EuroPhenome: a repository for high-throughput mouse phenotyping data. Nucleic Acids Research. 38(suppl_1). D577–D585. 51 indexed citations

4.

Wang, Wei, Dong Lu, Zemin Ning, et al.. (2008). Chromosomal transposition of PiggyBac in mouse embryonic stem cells. Proceedings of the National Academy of Sciences. 105(27). 9290–9295. 299 indexed citations

5.

Ercole, Ari, Kim Whittlestone, David Melvin, & Jem Rashbass. (2002). Collusion detection in multiple choice examinations. Medical Education. 36(2). 166–172. 13 indexed citations

6.

Melvin, David, et al.. (2002). Neurocomputing applications in post-operative liver transplant monitoring. 216–225. 2 indexed citations

7.

Melvin, David, Mahesan Niranjan, Richard W. Prager, Andrew K. Trull, & Victoria Hughes. (2000). Neuro-computing versus linear statistical techniques applied to liver transplant monitoring: a comparative study. IEEE Transactions on Biomedical Engineering. 47(8). 1036–1043. 1 indexed citations

8.

Melvin, David. (1997). Application of neural networks to post-operative liver transplant monitoring. 1997. 323–328. 2 indexed citations

9.

Melvin, David & J. Penman. (1995). <title>Fusing human knowledge with neural networks in machine condition monitoring systems</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2492. 276–283. 2 indexed citations

10.

Melvin, David, et al.. (1992). Hybrid system architecture for reasoning in noisy domains. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1709. 887–887.

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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