David J. Livingstone
- Computational Theory and Mathematics top 0.1%
- Molecular Biology top 5%
- Organic Chemistry top 2%
- Spectroscopy top 0.5%
- Materials Chemistry top 10%
- Co-authors
- Igor V. TetkoDavid T. ManallackAlexander I. LuikVladimir A. PalyulinPeter ErtlJohann GasteigerAndrea MauriRoberto Todeschini
- Topics
- Computational Drug Discovery Methods (42 papers)Analytical Chemistry and Chromatography (27 papers)Spectroscopy and Chemometric Analyses (22 papers)
- Partner nations
- United KingdomUkraineUnited States
In The Last Decade
David J. Livingstone
113 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Computational Theory and Mathematics 2.0k
- Molecular Biology 1.4k
- Organic Chemistry 1.0k
- Spectroscopy 1.0k
- Materials Chemistry 622
Countries citing papers authored by David J. Livingstone
This map shows the geographic impact of David J. Livingstone'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 J. Livingstone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Livingstone more than expected).
Fields of papers citing papers by David J. Livingstone
This network shows the impact of papers produced by David J. Livingstone. 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 J. Livingstone. The network helps show where David J. Livingstone may publish in the future.
Co-authorship network of co-authors of David J. Livingstone
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Livingstone. A scholar is included among the top collaborators of David J. Livingstone 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 J. Livingstone. David J. Livingstone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Drug design strategies : quantitative approaches | 24 |
| 2 | Artificial Neural Networks: Methods and Applications (Methods in Molecular Biology) | 16 |
| 3 | 29 | |
| 4 | 20 | |
| 5 | 10 | |
| 6 | Virtual Computational Chemistry Laboratory – Design and Descriptionbreakdown → | 1267 |
| 7 | 80 | |
| 8 | 50 | |
| 9 | 3 | |
| 10 | 23 | |
| 11 | 50 | |
| 12 | Spits and Nesses: Basic Processes and Effects on Long-Term Coastal Morphodynamics | 1 |
| 13 | 66 | |
| 14 | Artificial neural networks: Application and chance effects for QSAR data analysis | 19 |
| 15 | 18 | |
| 16 | 104 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | A CLINICAL TRIAL OF A NEW COMPOUND (DEHYDROEMETINE BISMUTH IODIDE, RO 4,3076) IN AMOEBIC DYSENTERY. | 2 |
About David J. Livingstone
David J. Livingstone is a scholar working on Computational Theory and Mathematics, Analytical Chemistry and Spectroscopy, having authored 118 papers that have together received 5.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (42 papers), Analytical Chemistry and Chromatography (27 papers) and Spectroscopy and Chemometric Analyses (22 papers). The work is most often cited by research in Computational Theory and Mathematics (2.0k citations), Spectroscopy (1.0k citations) and Analytical Chemistry (494 citations). David J. Livingstone has collaborated with scholars based in United Kingdom, Ukraine and United States. Frequent co-authors include Igor V. Tetko, David T. Manallack, Alexander I. Luik, Vladimir A. Palyulin, Peter Ertl, Johann Gasteiger, Andrea Mauri, Roberto Todeschini, Vsevolod Yu. Tanchuk and Н. С. Зефиров. Their work appears in journals such as The Lancet, Analytical Chemistry and Chemical Communications.
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.