David Lovell

4.5k total citations
116 papers, 2.8k citations indexed

About

David Lovell is a scholar working on Clinical Psychology, Surgery and Artificial Intelligence. According to data from OpenAlex, David Lovell has authored 116 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Clinical Psychology, 12 papers in Surgery and 10 papers in Artificial Intelligence. Recurrent topics in David Lovell's work include Schizophrenia research and treatment (8 papers), Species Distribution and Climate Change (7 papers) and Criminal Justice and Corrections Analysis (7 papers). David Lovell is often cited by papers focused on Schizophrenia research and treatment (8 papers), Species Distribution and Climate Change (7 papers) and Criminal Justice and Corrections Analysis (7 papers). David Lovell collaborates with scholars based in Australia, United Kingdom and United States. David Lovell's co-authors include Chuong Nguyen, Shahram Izadi, Ron Jemelka, Juan José Egozcue, Vera Pawlowsky‐Glahn, Gregg J. Gagliardi, Paul D. Peterson, T.A. Connors, Jürg Bähler and Dennis May and has published in prestigious journals such as Nature, The Lancet and Nature Communications.

In The Last Decade

David Lovell

107 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Lovell Australia 27 479 417 407 248 218 116 2.8k
Julia Schneider Germany 23 741 1.5× 282 0.7× 67 0.2× 523 2.1× 54 0.2× 61 5.9k
Michael J. Vjecha United States 12 517 1.1× 111 0.3× 95 0.2× 378 1.5× 28 0.1× 15 3.1k
Min Xu China 28 1.0k 2.1× 517 1.2× 92 0.2× 337 1.4× 26 0.1× 120 3.5k
Deborah Wentworth United States 10 560 1.2× 113 0.3× 93 0.2× 380 1.5× 26 0.1× 11 4.0k
Joachim Härtung Germany 19 167 0.3× 377 0.9× 135 0.3× 270 1.1× 16 0.1× 51 3.6k
Søren Højsgaard Denmark 27 392 0.8× 113 0.3× 111 0.3× 306 1.2× 22 0.1× 65 4.7k
Daniel D. Murray Denmark 14 760 1.6× 106 0.3× 93 0.2× 281 1.1× 26 0.1× 35 3.1k
Toshio Kobayashi Japan 42 644 1.3× 138 0.3× 74 0.2× 236 1.0× 28 0.1× 360 6.4k
Qi Gao China 34 460 1.0× 215 0.5× 107 0.3× 665 2.7× 22 0.1× 132 3.5k
Not Available Not Available India 29 541 1.1× 167 0.4× 100 0.2× 259 1.0× 17 0.1× 270 4.5k

Countries citing papers authored by David Lovell

Since Specialization
Citations

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

Fields of papers citing papers by David Lovell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lovell

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

All Works

20 of 20 papers shown
1.
Tran, Khoa, Venkateswar Addala, Rebecca L. Johnston, et al.. (2023). Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures. Nature Communications. 14(1). 5758–5758. 22 indexed citations
2.
Lovell, David, et al.. (2022). Exploring Technologies to Better Link Physical Evidence and Digital Information for Disaster Victim Identification. Forensic Sciences Research. 7(3). 467–483. 6 indexed citations
3.
Geva, Shlomo, et al.. (2022). Metagenomic Geolocation Using Read Signatures. Frontiers in Genetics. 13. 643592–643592. 2 indexed citations
4.
5.
Zwart, Alexander B., et al.. (2016). PolyPatEx: An R package for paternity exclusion in autopolyploids. Science & Engineering Faculty. 1 indexed citations
6.
Lovell, David, Vera Pawlowsky‐Glahn, Juan José Egozcue, Samuel Marguerat, & Jürg Bähler. (2015). Proportionality: A Valid Alternative to Correlation for Relative Data. PLoS Computational Biology. 11(3). e1004075–e1004075. 186 indexed citations
7.
Uno, Yoshifumi, Hajime Kojima, Takashi Omori, et al.. (2015). JaCVAM-organized international validation study of the in vivo rodent alkaline comet assay for the detection of genotoxic carcinogens: I. Summary of pre-validation study results. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 786-788. 3–13. 13 indexed citations
8.
Lagerstrom, Ryan, Katherine Holt, Yulia Arzhaeva, et al.. (2014). Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey. Advances in experimental medicine and biology. 823. 207–226. 18 indexed citations
9.
Vallotton, Pascal, et al.. (2011). Identifying Weak Linear Features with the “Coalescing Shortest Path Image Transform”. Microscopy and Microanalysis. 17(6). 911–914.
10.
Vallotton, Pascal, Cai Sun, David Lovell, Vincent Fazio, & Jennifer Newman. (2010). DroplIT, an improved image analysis method for droplet identification in high-throughput crystallization trials. International Union of Crystallography. 1 indexed citations
11.
Hayashi, Makoto, Kerry L. Dearfield, Peter Kasper, et al.. (2010). Compilation and use of genetic toxicity historical control data. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 723(2). 87–90. 40 indexed citations
12.
Sooriakumaran, Prasanna, Patricia Macanas-Pirard, Stephen Langley, et al.. (2006). The COX-2 inhibitor celecoxib and its use in the management of prostate cancer.. Cancer Research. 66. 1239–1239. 1 indexed citations
13.
Khaksar, Sara, Robert Laing, Alastair Henderson, et al.. (2006). Biochemical (prostate‐specific antigen) relapse‐free survival and toxicity after 125 I low‐dose‐rate prostate brachytherapy. British Journal of Urology. 98(6). 1210–1215. 15 indexed citations
14.
Shojaee‐Moradie, Fariba, Kevin Baynes, Claire Pentecost, et al.. (2006). Exercise training reduces fatty acid availability and improves the insulin sensitivity of glucose metabolism. Diabetologia. 50(2). 404–413. 157 indexed citations
15.
Sooriakumaran, Prasanna, David Lovell, & Ruth Brown. (2005). A comparison of clinical judgment Vs the modified Alvarado score in acute appendicitis. International Journal of Surgery. 3(1). 49–52. 17 indexed citations
16.
Lovell, David, et al.. (2002). Implementing residential treatment for prison inmates with mental illness. Archives of Psychiatric Nursing. 16(5). 232–238. 17 indexed citations
17.
Becker, Roswitha, et al.. (2001). Frequency of HPRT mutants in humans exposed to vinyl chloride via an environmental accident. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 494(1-2). 87–96. 7 indexed citations
18.
Feder, Paul I., G.J. Carr, Hermann−Georg Holzhütter, David Lovell, & Janet A. Springer. (1997). Statistical planning and analysis considerations in the evaluation of in vitro alternatives to whole animal use for eye irritation testing. Food and Chemical Toxicology. 35(1). 167–174. 9 indexed citations
19.
Lovell, David, Barbara Rosario, Mahesan Niranjan, et al.. (1997). Design, construction and evaluation of systems to predict risk in obstetrics. International Journal of Medical Informatics. 46(3). 159–173.
20.
Harbell, John W., et al.. (1997). IRAG Working Group 4: Cell cytotoxicity assays. Food and Chemical Toxicology. 35(1). 79–126. 45 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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