Luisa M. Díaz‐Aranda
- Insect Science top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Genetics
- Ecology
- Small Animals
- Co-authors
- Daniel Martín‐VegaArturo BazBlanca CifriánV. J. MonserratCristina BotíasSalvador RebolloMaría Hernández
- Topics
- Forensic Entomology and Diptera Studies (15 papers)Insect behavior and control techniques (8 papers)Fossil Insects in Amber (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPest Management ScienceForensic Science International
- Partner nations
- SpainUnited Kingdom
In The Last Decade
Luisa M. Díaz‐Aranda
23 papers receiving 367 citations
Peers
Comparison fields: 5 of 25
- Insect Science 312
- Ecology, Evolution, Behavior and Systematics 155
- Genetics 138
- Ecology 101
- Small Animals 21
Countries citing papers authored by Luisa M. Díaz‐Aranda
This map shows the geographic impact of Luisa M. Díaz‐Aranda'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 Luisa M. Díaz‐Aranda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa M. Díaz‐Aranda more than expected).
Fields of papers citing papers by Luisa M. Díaz‐Aranda
This network shows the impact of papers produced by Luisa M. Díaz‐Aranda. 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 Luisa M. Díaz‐Aranda. The network helps show where Luisa M. Díaz‐Aranda may publish in the future.
Co-authorship network of co-authors of Luisa M. Díaz‐Aranda
This figure shows the co-authorship network connecting the top 25 collaborators of Luisa M. Díaz‐Aranda. A scholar is included among the top collaborators of Luisa M. Díaz‐Aranda 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 Luisa M. Díaz‐Aranda. Luisa M. Díaz‐Aranda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 17 | |
| 7 | 23 | |
| 8 | 27 | |
| 9 | 41 | |
| 10 | 9 | |
| 11 | 32 | |
| 12 | 18 | |
| 13 | 23 | |
| 14 | Forensic Entomology in Spain: past, present and future perspectives | 0 |
| 15 | 74 | |
| 16 | 4 | |
| 17 | 0 | |
| 18 | 33 | |
| 19 | Larval stages of Iberian Neuropterans. VI: Chrysoperla carnea (Stephens, 1836), Chrysoperla mediterranea (Holzel, 1972) and Chrysoperla ankylopteryformis Monserrat and Diaz-Aranda, 1989 (Insecta, Neuroptera: Chrysopidae). | 4 |
| 20 | Contribution to the knowledge of the Neuroptera of Morocco (Insecta, Neuropteroidea). | 0 |
About Luisa M. Díaz‐Aranda
Luisa M. Díaz‐Aranda is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 26 papers that have together received 384 indexed citations. Recurring topics across this work include Forensic Entomology and Diptera Studies (15 papers), Insect behavior and control techniques (8 papers) and Fossil Insects in Amber (7 papers). The work is most often cited by research in Insect Science (312 citations), Ecology, Evolution, Behavior and Systematics (155 citations) and Genetics (138 citations). Luisa M. Díaz‐Aranda has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include Daniel Martín‐Vega, Arturo Baz, Blanca Cifrián, V. J. Monserrat, Cristina Botías, Salvador Rebollo and María Hernández. Their work appears in journals such as SHILAP Revista de lepidopterología, Pest Management Science and Forensic Science International.
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.