K. Lovell
- Developmental and Educational Psychology top 2%
- Education top 5%
- Statistics and Probability top 2%
- Experimental and Cognitive Psychology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Emma OgilvieRobert M. GagnéBryan ThwaitesNoël EntwistleJohn NisbetBrian RichardsonDione HealeyJohn Eliot
- Topics
- Reading and Literacy Development (7 papers)Educational and Psychological Assessments (6 papers)Mathematics Education and Teaching Techniques (4 papers)
- Partner nations
- United KingdomMexicoUnited States
In The Last Decade
K. Lovell
40 papers receiving 651 citations
Peers
Comparison fields: 5 of 93
- Developmental and Educational Psychology 398
- Education 343
- Statistics and Probability 191
- Experimental and Cognitive Psychology 112
- Cognitive Neuroscience 105
Countries citing papers authored by K. Lovell
This map shows the geographic impact of K. 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 K. Lovell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Lovell more than expected).
Fields of papers citing papers by K. Lovell
This network shows the impact of papers produced by K. 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 K. Lovell. The network helps show where K. Lovell may publish in the future.
Co-authorship network of co-authors of K. Lovell
This figure shows the co-authorship network connecting the top 25 collaborators of K. Lovell. A scholar is included among the top collaborators of K. 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 K. Lovell. K. Lovell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Piaget, psychology and education : papers in honour of Jean Piaget | 4 |
| 2 | DESARROLLO DE LOS CONCEPTOS BASICOS MATEMATICOS Y CIENTIFICOS EN LOS NIÑOS | 1 |
| 3 | 33 | |
| 4 | 8 | |
| 5 | The growth of understanding in mathematics : kindergarten through grade three | 16 |
| 6 | 13 | |
| 7 | Understanding Research in Education | 25 |
| 8 | The learning of English morphology in educationally subnormal special school children. | 9 |
| 9 | 7 | |
| 10 | 16 | |
| 11 | 37 | |
| 12 | 18 | |
| 13 | 43 | |
| 14 | 15 | |
| 15 | 38 | |
| 16 | 37 | |
| 17 | 32 | |
| 18 | 74 | |
| 19 | 2 | |
| 20 | The teaching of arithmetic in primary schools | 5 |
About K. Lovell
K. Lovell is a scholar working on Developmental and Educational Psychology, General Psychology and Education, having authored 43 papers that have together received 903 indexed citations. Recurring topics across this work include Reading and Literacy Development (7 papers), Educational and Psychological Assessments (6 papers) and Mathematics Education and Teaching Techniques (4 papers). The work is most often cited by research in Developmental and Educational Psychology (398 citations), Statistics and Probability (191 citations) and Education (343 citations). K. Lovell has collaborated with scholars based in United Kingdom, Mexico and United States. Frequent co-authors include Emma Ogilvie, Robert M. Gagné, Bryan Thwaites, Noël Entwistle, John Nisbet, Brian Richardson, Dione Healey, John Eliot, C. Mitchell Dayton and Douglass Price‐Williams. Their work appears in journals such as Child Development, Journal of Child Psychology and Psychiatry and British Journal of Sociology.
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.