Vanessa Miranda-López
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Co-authors
- Andrei TchernykhMikhail BabenkoN.I. ChervyakovJorge M. Cortés-MendozaArutyun AvetisyanGleb RadchenkoRaúl Rivera-RodríguezMaxim Deryabin
- Topics
- Cryptography and Data Security (13 papers)Advanced Data Storage Technologies (9 papers)Cryptography and Residue Arithmetic (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Internet of Things Journal
In The Last Decade
Vanessa Miranda-López
16 papers receiving 239 citations
Peers
Comparison fields: 5 of 37
- Information Systems 178
- Computer Networks and Communications 147
- Artificial Intelligence 134
- Computer Vision and Pattern Recognition 40
- Computational Theory and Mathematics 18
Countries citing papers authored by Vanessa Miranda-López
This map shows the geographic impact of Vanessa Miranda-López'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 Vanessa Miranda-López with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa Miranda-López more than expected).
Fields of papers citing papers by Vanessa Miranda-López
This network shows the impact of papers produced by Vanessa Miranda-López. 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 Vanessa Miranda-López. The network helps show where Vanessa Miranda-López may publish in the future.
Co-authorship network of co-authors of Vanessa Miranda-López
This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa Miranda-López. A scholar is included among the top collaborators of Vanessa Miranda-López 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 Vanessa Miranda-López. Vanessa Miranda-López is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 18 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 34 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 74 | |
| 16 | 20 |
About Vanessa Miranda-López
Vanessa Miranda-López is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 16 papers that have together received 252 indexed citations. Recurring topics across this work include Cryptography and Data Security (13 papers), Advanced Data Storage Technologies (9 papers) and Cryptography and Residue Arithmetic (8 papers). The work is most often cited by research in Information Systems (178 citations), Computer Networks and Communications (147 citations) and Artificial Intelligence (134 citations). Vanessa Miranda-López has collaborated with scholars based in Mexico, Russia and China. Frequent co-authors include Andrei Tchernykh, Mikhail Babenko, N.I. Chervyakov, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, Gleb Radchenko, Raúl Rivera-Rodríguez, Maxim Deryabin, Zhihui Du and Ramin Yahyapour. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Internet of Things Journal.
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.