David Lovell
Impact in
- Clinical Psychology top 5%
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Geology top 5%
Papers in
-
- Psychopathy, Forensic Psychiatry, Sexual Offending 6
- Surgery 11
- Co-authors
- Chuong Nguyen (12 shared papers)Shahram Izadi (1 shared paper)Ron Jemelka (5 shared papers)Vera Pawlowsky‐Glahn (2 shared papers)Juan José Egozcue (2 shared papers)Paul D. Peterson (2 shared papers)Gregg J. Gagliardi (2 shared papers)Samuel Marguerat (1 shared paper)
- Journals
- Food and Chemical Toxicology (11 papers)The Lancet (3 papers)Mutation Research/Genetic Toxicology and Environmental Mutagenesis (3 papers)Criminal Justice and Behavior (3 papers)Japanese Journal of Applied Physics (3 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
David Lovell
109 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 183
- Clinical Psychology 385
- Geology 97
- Ecological Modeling 65
- Cancer Research 154
- Small Animals 81
Countries citing papers authored by David Lovell
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
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-authors
The 25 scholars most cited alongside David Lovell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 231 | |
| 2 | 2015 | 190 | |
| 3 | 1978 | 185 | |
| 4 | 2006 | 158 | |
| 5 | 2017 | 131 | |
| 6 | 2002 | 117 | |
| 7 | 2020 | 89 | |
| 8 | 2014 | 81 | |
| 9 | 2010 | 78 | |
| 10 | 2007 | 64 | |
| 11 | 1987 | 64 | |
| 12 | 2005 | 62 | |
| 13 | 2009 | 57 | |
| 14 | 1996 | 57 | |
| 15 | 2018 | 57 | |
| 16 | 2008 | 56 | |
| 17 | 2005 | 56 | |
| 18 | 1984 | 54 | |
| 19 | 2014 | 52 | |
| 20 | 2004 | 52 |
About David Lovell
David Lovell is a scholar working on Clinical Psychology, Surgery, Artificial Intelligence, Genetics and Plant Science, having authored 117 papers that have together received 2.8k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (7 papers), Schizophrenia research and treatment (7 papers), Mental Health Treatment and Access (6 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (6 papers), Criminal Justice and Corrections Analysis (6 papers), Carcinogens and Genotoxicity Assessment (5 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Clinical Psychology (385 citations), Geology (97 citations), Ecological Modeling (65 citations), Cancer Research (154 citations) and Small Animals (81 citations). David Lovell has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Chuong Nguyen, Shahram Izadi, Ron Jemelka, Vera Pawlowsky‐Glahn, Juan José Egozcue, Paul D. Peterson, Gregg J. Gagliardi, Samuel Marguerat, Jürg Bähler and S. Sparrow. Their work appears in journals such as Food and Chemical Toxicology, The Lancet, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Criminal Justice and Behavior and Japanese Journal of Applied Physics.
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.