Emilio Serrano
Impact in
- Health Informatics top 5%
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Mobile Crowdsensing and Crowdsourcing 8
-
- Human Mobility and Location-Based Analysis 7
- Co-authors
- Juan A. BotíaCarlos Á. IglesiasJavier BajoMarı́a S. PérezMercedes Ruiz GarijoDaniel ManriqueMichael RovatsosAndrés Muñoz
- Journals
- Information Sciences (7 papers)Sensors (5 papers)Engineering Applications of Artificial Intelligence (4 papers)Neurocomputing (3 papers)Expert Systems with Applications (3 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Emilio Serrano
49 papers receiving 487 citations
Peers
Comparison fields: 5 of 104
- Health Informatics 26
- Computer Science Applications 40
- Transportation 49
- Artificial Intelligence 203
- Computer Vision and Pattern Recognition 93
Countries citing papers authored by Emilio Serrano
This map shows the geographic impact of Emilio Serrano'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 Emilio Serrano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emilio Serrano more than expected).
Fields of papers citing papers by Emilio Serrano
This network shows the impact of papers produced by Emilio Serrano. 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 Emilio Serrano. The network helps show where Emilio Serrano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emilio Serrano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 17 | |
| 4 | 2024 | 32 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 21 | |
| 9 | 2022 | 17 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 4 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 12 | |
| 14 | Challenge-Based Learning in Computational Biology and Data Science. | 2018 | 3 |
| 15 | 2012 | 2 | |
| 16 | 2012 | 9 | |
| 17 | 2012 | 11 | |
| 18 | An Approach for the Qualitative Analysis of Open Agent Conversations | 2012 | 1 |
| 19 | 2010 | 20 | |
| 20 | 2009 | 17 |
About Emilio Serrano
Emilio Serrano is a scholar working on Computer Science Applications, Transportation, Computer Vision and Pattern Recognition, Artificial Intelligence and Energy Engineering and Power Technology, having authored 52 papers that have together received 524 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Multi-Agent Systems and Negotiation (7 papers), Human Mobility and Location-Based Analysis (7 papers), Semantic Web and Ontologies (5 papers), Topic Modeling (4 papers), Mobile Agent-Based Network Management (3 papers) and Evacuation and Crowd Dynamics (3 papers). The work is most often cited by research in Health Informatics (26 citations), Computer Science Applications (40 citations), Transportation (49 citations), Artificial Intelligence (203 citations) and Computer Vision and Pattern Recognition (93 citations). Emilio Serrano has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Juan A. Botía, Carlos Á. Iglesias, Javier Bajo, Marı́a S. Pérez, Mercedes Ruiz Garijo, Daniel Manrique, Michael Rovatsos, Andrés Muñoz, Harlan Sayles and Robert F. Belli. Their work appears in journals such as Information Sciences, Sensors, Engineering Applications of Artificial Intelligence, Neurocomputing and Expert Systems with Applications.
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.