Juan A. Lara
- Computer Science Applications top 0.5%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Education top 5%
- Co-authors
- David LizcanoShadi AljawarnehMaría A. MartínezCristóbal RomeroBebo WhiteJuan PazosJavier SorianoRebeca Cerezo
- Topics
- Online Learning and Analytics (12 papers)Time Series Analysis and Forecasting (12 papers)Anomaly Detection Techniques and Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorIEEE Access
- Partner nations
- SpainJordanUnited States
In The Last Decade
Juan A. Lara
59 papers receiving 992 citations
Peers
Comparison fields: 5 of 119
- Computer Science Applications 401
- Artificial Intelligence 358
- Information Systems 297
- Computer Networks and Communications 179
- Education 150
Countries citing papers authored by Juan A. Lara
This map shows the geographic impact of Juan A. Lara'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 Juan A. Lara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan A. Lara more than expected).
Fields of papers citing papers by Juan A. Lara
This network shows the impact of papers produced by Juan A. Lara. 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 Juan A. Lara. The network helps show where Juan A. Lara may publish in the future.
Co-authorship network of co-authors of Juan A. Lara
This figure shows the co-authorship network connecting the top 25 collaborators of Juan A. Lara. A scholar is included among the top collaborators of Juan A. Lara 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 Juan A. Lara. Juan A. Lara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 61 | |
| 4 | 18 | |
| 5 | 12 | |
| 6 | 43 | |
| 7 | 0 | |
| 8 | A method for generating features representing the students' degree of anticipation/delay to complete assignments. | 1 |
| 9 | 19 | |
| 10 | 154 | |
| 11 | 14 | |
| 12 | 14 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 7 | |
| 19 | 5 | |
| 20 | 4 |
About Juan A. Lara
Juan A. Lara is a scholar working on Computer Science Applications, Signal Processing and Artificial Intelligence, having authored 61 papers that have together received 1.0k indexed citations. Recurring topics across this work include Online Learning and Analytics (12 papers), Time Series Analysis and Forecasting (12 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Computer Science Applications (401 citations), Health Information Management (62 citations) and Information Systems (297 citations). Juan A. Lara has collaborated with scholars based in Spain, Jordan and United States. Frequent co-authors include David Lizcano, Shadi Aljawarneh, María A. Martínez, Cristóbal Romero, Bebo White, Juan Pazos, Javier Soriano, Rebeca Cerezo, Robert P. Schumaker and Juan Pedro Caraça-Valente Hernández. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.
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.