What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- The Internet
His primary areas of investigation include Human–computer interaction, World Wide Web, Artificial intelligence, Information retrieval and Data mining.
The Human–computer interaction study combines topics in areas such as Context, User interface, Task and Control.
His Context research includes themes of Real-time computing, Focus and Component.
His study on World Wide Web is mostly dedicated to connecting different topics, such as Internet privacy.
Eric Horvitz focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Machine learning and, in some cases, The Internet.
His Information retrieval research is multidisciplinary, incorporating perspectives in Timeline and Index.
His most cited work include:
- A Bayesian Approach to Filtering Junk E-Mail (1120 citations)
- Principles of mixed-initiative user interfaces (907 citations)
- Personalizing search via automated analysis of interests and activities (803 citations)
What are the main themes of his work throughout his whole career to date?
Eric Horvitz mainly investigates Artificial intelligence, World Wide Web, Human–computer interaction, Machine learning and Context.
His biological study spans a wide range of topics, including Data mining, Computer vision and Natural language processing.
His studies deal with areas such as Information retrieval and Component as well as World Wide Web.
His Information retrieval research is mostly focused on the topic Web search query.
His studies in Human–computer interaction integrate themes in fields like User interface, User modeling, Dialog box and Set.
He most often published in these fields:
- Artificial intelligence (24.24%)
- World Wide Web (14.42%)
- Human–computer interaction (13.58%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (24.24%)
- Data science (6.90%)
- Machine learning (11.18%)
In recent papers he was focusing on the following fields of study:
Eric Horvitz focuses on Artificial intelligence, Data science, Machine learning, Set and World Wide Web.
Eric Horvitz works mostly in the field of Artificial intelligence, limiting it down to topics relating to Perception and, in certain cases, Focus.
His Data science study incorporates themes from Key and Missing data.
His study focuses on the intersection of Machine learning and fields such as Blind spot with connections in the field of Noise.
In his work, Quality is strongly intertwined with Debugging, which is a subfield of Set.
Eric Horvitz studies The Internet, a branch of World Wide Web.
Between 2015 and 2021, his most popular works were:
- Influence of Pokémon Go on Physical Activity: Study and Implications (262 citations)
- Guidelines for Human-AI Interaction (247 citations)
- Screening for Pancreatic Adenocarcinoma Using Signals From Web Search Logs: Feasibility Study and Results (86 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- The Internet
His primary scientific interests are in Artificial intelligence, Set, Data science, Machine learning and World Wide Web.
His Artificial intelligence research is multidisciplinary, relying on both Pattern recognition, Perception and Natural language processing.
Eric Horvitz interconnects Pathfinder, Expert system, Health screening, False positive rate and Key in the investigation of issues within Data science.
His Machine learning research incorporates themes from Classifier, Intellect, Troubleshooting, Workflow and Component.
His World Wide Web research includes elements of Psychological intervention and Adenocarcinoma.
His work in Context tackles topics such as Receiver operating characteristic which are related to areas like Data mining.
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