What is he best known for?
The fields of study he is best known for:
- Law
- Artificial intelligence
- The Internet
Manuel Cebrian focuses on Computer security, Scale, Social network, Econometrics and Social media.
As a member of one scientific family, Manuel Cebrian mostly works in the field of Computer security, focusing on Emergency management and, on occasion, The Internet.
He studies Social network, focusing on Friendship paradox in particular.
His Econometrics study incorporates themes from Dependency, Empirical evidence, Function and Hierarchy.
His work in Social media addresses subjects such as Information Dissemination, which are connected to disciplines such as Natural disaster.
His Key study combines topics in areas such as Cognitive psychology, Local area network, Data mining and Process.
His most cited work include:
- Rapid assessment of disaster damage using social media activity. (255 citations)
- Rapid assessment of disaster damage using social media activity. (255 citations)
- Time-Critical Social Mobilization (202 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Social media, Social network, Data science and Computer security.
His work in Artificial intelligence tackles topics such as Theoretical computer science which are related to areas like Algorithm.
His Social media study integrates concerns from other disciplines, such as Information Dissemination, Power, Popularity, Crisis communication and Internet privacy.
His Social network research includes elements of Key and Data mining.
His study explores the link between Data science and topics such as Crowdsourcing that cross with problems in Dilemma and Crowds.
His study in The Internet extends to Computer security with its themes.
He most often published in these fields:
- Artificial intelligence (19.19%)
- Social media (19.77%)
- Social network (15.70%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (19.19%)
- Social media (19.77%)
- Machine learning (6.40%)
In recent papers he was focusing on the following fields of study:
Manuel Cebrian spends much of his time researching Artificial intelligence, Social media, Machine learning, Data science and Cultural diversity.
His biological study spans a wide range of topics, including Cooperative behavior and Identification.
His studies in Social media integrate themes in fields like Extreme events, Crisis communication, Power and Internet privacy.
His Machine learning study which covers Biometrics that intersects with Feature vector, Function and Tree.
Manuel Cebrian has included themes like Normative, Network science, Complex network and Set in his Data science study.
Manuel Cebrian studied Resilience and Computer security that intersect with Social network.
Between 2017 and 2021, his most popular works were:
- Cooperating with machines. (75 citations)
- Toward understanding the impact of artificial intelligence on labor. (69 citations)
- Weather impacts expressed sentiment. (30 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Law
- The Internet
His primary areas of study are Artificial intelligence, Social media, Power, Scale and Crisis communication.
As part of his studies on Artificial intelligence, Manuel Cebrian often connects relevant areas like Machine learning.
His Machine learning research is multidisciplinary, relying on both Tree and Function.
While working on this project, Manuel Cebrian studies both Social media and Event.
The concepts of his Power study are interwoven with issues in Digital divide, Network effect, Interpersonal relationship and Demographic economics.
The various areas that Manuel Cebrian examines in his Crisis communication study include Emergency management, Economy and Internet privacy.
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