H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 71 Citations 19,967 515 World Ranking 790 National Ranking 4

Research.com Recognitions

Awards & Achievements

2017 - IEEE Fellow For contributions to multimedia information indexing and retrieval

2015 - Gold Medal, Royal Irish Academy Engineering Sciences

2013 - Member of the Royal Irish Academy

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Computer vision

His main research concerns Information retrieval, Artificial intelligence, Multimedia, TRECVID and Digital video. His Artificial intelligence research includes themes of Pattern recognition, Computer vision and Natural language processing. His study in Computer vision is interdisciplinary in nature, drawing from both Lifelog and Wearable computer.

His biological study spans a wide range of topics, including Digital television, Systems design and Hypertext, World Wide Web. His studies deal with areas such as NIST, Video retrieval and Baseline as well as TRECVID. His studies in Video retrieval integrate themes in fields like Feature extraction and Benchmark.

His most cited work include:

  • Evaluation campaigns and TRECVid (1214 citations)
  • TRECVID 2014 - An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics (305 citations)
  • Classifying sentiment in microblogs: is brevity an advantage? (263 citations)

What are the main themes of his work throughout his whole career to date?

Alan F. Smeaton spends much of his time researching Information retrieval, Multimedia, Artificial intelligence, World Wide Web and TRECVID. Alan F. Smeaton regularly links together related areas like Image retrieval in his Information retrieval studies. In his works, Alan F. Smeaton undertakes multidisciplinary study on Multimedia and Digital video.

His work deals with themes such as Machine learning, Pattern recognition, Computer vision and Natural language processing, which intersect with Artificial intelligence. His TRECVID research is multidisciplinary, relying on both NIST, Feature extraction and Benchmark. Alan F. Smeaton has researched Image processing in several fields, including Lifelog and Wearable computer.

He most often published in these fields:

  • Information retrieval (29.20%)
  • Multimedia (25.21%)
  • Artificial intelligence (23.28%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (23.28%)
  • Machine learning (4.55%)
  • TRECVID (15.15%)

In recent papers he was focusing on the following fields of study:

Alan F. Smeaton focuses on Artificial intelligence, Machine learning, TRECVID, Multimedia and Information retrieval. His Artificial intelligence research incorporates themes from Rapid serial visual presentation, Computer vision and Natural language processing. His Computer vision research incorporates elements of Artificial neural network, Visualization and Wearable computer.

His study in TRECVID is interdisciplinary in nature, drawing from both NIST and Closed captioning. His Multimedia study incorporates themes from Class, Computer programming, Analytics and Learning analytics. His study in Video retrieval and Search engine indexing falls under the purview of Information retrieval.

Between 2015 and 2021, his most popular works were:

  • TRECVID 2018: Benchmarking Video Activity Detection, Video Captioning and Matching, Video Storytelling Linking and Video Search (50 citations)
  • Children’s everyday exposure to food marketing: an objective analysis using wearable cameras (47 citations)
  • Kids'Cam: An Objective Methodology to Study the World in Which Children Live. (37 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • The Internet
  • Machine learning

Alan F. Smeaton mainly investigates Artificial intelligence, Learning analytics, TRECVID, Multimedia and Rapid serial visual presentation. His Artificial intelligence research incorporates themes from Machine learning, Computer vision and Natural language processing. His research in Computer vision focuses on subjects like Wearable computer, which are connected to Lifelog and Applied psychology.

The study incorporates disciplines such as Hyperlink, Information retrieval and Closed captioning in addition to TRECVID. His work on Search engine indexing as part of general Information retrieval research is frequently linked to Action, thereby connecting diverse disciplines of science. His Multimedia research includes themes of Obesity and Environmental health.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Evaluation campaigns and TRECVid

Alan F. Smeaton;Paul Over;Wessel Kraaij.
multimedia information retrieval (2006)

1562 Citations

TRECVID 2013 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics

P. Over;J. Fiscus;G. Sanders;M. Michel.
TRECVID 2013 : proceedings (2014)

724 Citations

TRECVID 2013 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics | NIST

Paul D. Over;Jonathan G. Fiscus;Gregory A. Sanders;David M. Joy.
TRECVID Publications Home (2014)

724 Citations

TRECVID 2011 - An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics

P. Over;G. Awad;J. Fiscus;B. Antonishek.
TRECVID 2011 - TREC Video Retrieval Evaluation Online (2011)

723 Citations

TRECVID 2012 - An overview of the goals, tasks, data, evaluation mechanisms, and metrics

P. Over;J. Fiscus;G. Sanders;B. Shaw.
TREC Video Retrieval Evaluation, TRECVID 2012, 26-28 November 2012, Gaithersburg, MD. USA (2013)

723 Citations

TRECVID 2014 - An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics

Paul Over;Jonathan G. Fiscus;Gregory A. Sanders;David Joy.
Proceedings of TRECvid 2014 (2014)

723 Citations

On Using Twitter to Monitor Political Sentiment and Predict Election Results

Adam Bermingham;Alan Smeaton.
Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2011) (2011)

461 Citations

Classifying sentiment in microblogs: is brevity an advantage?

Adam Bermingham;Alan F. Smeaton.
conference on information and knowledge management (2010)

455 Citations

Lifelogging: Personal Big Data

Cathal Gurrin;Alan F. Smeaton;Aiden R. Doherty.
(2014)

404 Citations

TRECVID 2013 ― An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics

Paul Over;George Awad;Jonathan Fiscus;Greg Sanders.
Proceedings of TRECVID 2013 (2013)

399 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Alan F. Smeaton

Alexander G. Hauptmann

Alexander G. Hauptmann

Carnegie Mellon University

Publications: 83

Cees G. M. Snoek

Cees G. M. Snoek

University of Amsterdam

Publications: 78

Noel E. O'Connor

Noel E. O'Connor

Dublin City University

Publications: 72

Joemon M. Jose

Joemon M. Jose

University of Glasgow

Publications: 58

Marcel Worring

Marcel Worring

University of Amsterdam

Publications: 51

Chong-Wah Ngo

Chong-Wah Ngo

Singapore Management University

Publications: 48

Arnold W. M. Smeulders

Arnold W. M. Smeulders

University of Amsterdam

Publications: 45

Mei-Ling Shyu

Mei-Ling Shyu

University of Miami

Publications: 43

Gareth JF Jones

Gareth JF Jones

Dublin City University

Publications: 43

Shih-Fu Chang

Shih-Fu Chang

Columbia University

Publications: 41

Ioannis Kompatsiaris

Ioannis Kompatsiaris

Information Technologies Institute, Greece

Publications: 37

Marc Davis

Marc Davis

Yahoo (United Kingdom)

Publications: 36

Shin'ichi Satoh

Shin'ichi Satoh

National Institute of Informatics

Publications: 36

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 32

Gabriel-Miro Muntean

Gabriel-Miro Muntean

Dublin City University

Publications: 31

Something went wrong. Please try again later.