A. Hermoso‐Carazo
- Control and Systems Engineering top 1%
- Artificial Intelligence top 1%
- Computer Networks and Communications top 1%
- Aerospace Engineering
- Electrical and Electronic Engineering
- Co-authors
- J. Linares‐PérezR. Caballero‐ÁguilaSeiichi NakamoriZidong WangMaría Isabel Sánchez‐Rodríguez
- Topics
- Target Tracking and Data Fusion in Sensor Networks (73 papers)Control Systems and Identification (41 papers)Distributed Sensor Networks and Detection Algorithms (38 papers)
- Partner nations
- SpainJapanAzerbaijan
In The Last Decade
A. Hermoso‐Carazo
90 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 62
- Control and Systems Engineering 1.1k
- Artificial Intelligence 972
- Computer Networks and Communications 827
- Aerospace Engineering 85
- Electrical and Electronic Engineering 72
Countries citing papers authored by A. Hermoso‐Carazo
This map shows the geographic impact of A. Hermoso‐Carazo'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 A. Hermoso‐Carazo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Hermoso‐Carazo more than expected).
Fields of papers citing papers by A. Hermoso‐Carazo
This network shows the impact of papers produced by A. Hermoso‐Carazo. 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 A. Hermoso‐Carazo. The network helps show where A. Hermoso‐Carazo may publish in the future.
Co-authorship network of co-authors of A. Hermoso‐Carazo
This figure shows the co-authorship network connecting the top 25 collaborators of A. Hermoso‐Carazo. A scholar is included among the top collaborators of A. Hermoso‐Carazo 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 A. Hermoso‐Carazo. A. Hermoso‐Carazo 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 | 13 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 28 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 46 | |
| 10 | 18 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | 15 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | Fixed-point, fixed-interval and fixed-lag smoothing algorithms from uncertain observations based on covariances | 3 |
| 19 | Fixed-Interval Smoothing from Uncertain Observations with White Plus Coloured Noises Using Covariance Information | 4 |
| 20 | Estimation Algorithm from Delayed Measurements with Correlation between Signal and Noise Using Covariance Information | 6 |
About A. Hermoso‐Carazo
A. Hermoso‐Carazo is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 91 papers that have together received 1.4k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (73 papers), Control Systems and Identification (41 papers) and Distributed Sensor Networks and Detection Algorithms (38 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Computer Networks and Communications (827 citations) and Artificial Intelligence (972 citations). A. Hermoso‐Carazo has collaborated with scholars based in Spain, Japan and Azerbaijan. Frequent co-authors include J. Linares‐Pérez, R. Caballero‐Águila, Seiichi Nakamori, Zidong Wang and María Isabel Sánchez‐Rodríguez. Their work appears in journals such as Sensors, Information Fusion and Signal Processing.
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.