World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4724
World Ranking
12211
National Ranking
233

Overview

Evangelos Kanoulas is affiliated with the University of Amsterdam in the Netherlands. Their research spans multiple subfields within computer science, with a primary focus on artificial intelligence and information systems.

Their scientific work covers several specialized areas, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Recommender Systems and Techniques
  • Expert Finding and Q&A Systems
  • Multimodal Machine Learning Applications
  • Speech and Dialogue Systems
  • Data Quality and Management

Evangelos Kanoulas has published extensively, with more than 200 publications in computer science and associated disciplines. Key subfields of study connected to their work include:

  • Artificial Intelligence
  • Information Systems
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research
  • Information Systems and Management

Frequent publication venues for Kanoulas's research include:

  • arXiv (Cornell University)
  • ACM Transactions on Information Systems
  • ACM SIGIR Forum
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Information Processing & Management

Some of their most recent papers are:

  • "Temporal knowledge graph question answering via subgraph reasoning," 2022, Knowledge-Based Systems
  • "Conversations with Search Engines: SERP-based Conversational Response Generation," 2021, ACM Transactions on Information Systems
  • "Improving Conversational Recommender Systems via Transformer-based Sequential Modelling," 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "Towards Question-based High-recall Information Retrieval," 2020, ACM Transactions on Information Systems
  • "When to Stop Reviewing in Technology-Assisted Reviews," 2020, ACM Transactions on Information Systems

In addition to articles, Kanoulas has contributed to books published by Springer Science+Business Media, such as:

  • "Experimental IR Meets Multilinguality, Multimodality, and Interaction," editions in 2020 and 2023
  • "Web Information Systems and Applications," 2023

Kanoulas frequently collaborates with a core group of co-authors including:

  • Mohammad Aliannejadi
  • Maarten de Rijke
  • Svitlana Vakulenko
  • Jia-Hong Huang
  • Samarth Bhargav

Best Publications

  • Finding Fastest Paths on A Road Network with Speed Patterns

    E. Kanoulas;Yang Du;Tian Xia;Donghui Zhang

  • A simple and efficient sampling method for estimating AP and NDCG

    Emine Yilmaz;Evangelos Kanoulas;Javed A. Aslam

  • Do user preferences and evaluation measures line up

    Mark Sanderson;Monica Lestari Paramita;Paul Clough;Evangelos Kanoulas

  • On computing top- t most influential spatial sites

    Tian Xia;Donghui Zhang;Evangelos Kanoulas;Yang Du

  • Learning Latent Vector Spaces for Product Search

    Christophe Van Gysel;Maarten de Rijke;Evangelos Kanoulas

  • Evaluation over thousands of queries

    Ben Carterette;Virgil Pavlu;Evangelos Kanoulas;Javed A. Aslam

  • Million Query Track 2007 Overview

    James Allan;Ben Carterette;Javed A. Aslam;Virgil Pavlu

  • Extending average precision to graded relevance judgments

    Stephen E. Robertson;Evangelos Kanoulas;Emine Yilmaz

  • Evaluating multi-query sessions

    Evangelos Kanoulas;Ben Carterette;Paul D. Clough;Mark Sanderson

  • Dynamic Clustering of Streaming Short Documents

    Shangsong Liang;Emine Yilmaz;Evangelos Kanoulas

  • CLEF 2017 eHealth Evaluation Lab Overview

    Lorraine Goeuriot;Liadh Kelly;Hanna Suominen;Hanna Suominen;Hanna Suominen;Aurélie Névéol

  • CLEF 2018 technologically assisted reviews in empirical medicine overview

    Evangelos Kanoulas;Dan Li;Leif Azzopardi;Rene Spijker

  • Million Query Track 2009 Overview.

    Ben Carterette;Virgiliu Pavlu;Hui Fang;Evangelos Kanoulas

  • Simulating simple user behavior for system effectiveness evaluation

    Ben Carterette;Evangelos Kanoulas;Emine Yilmaz

  • Overview of the TREC 2011 Session Track

    Evangelos Kanoulas;Mark M. Hall;Paul D. Clough;Ben Carterette

  • Derivation of the tumor position from external respiratory surrogates with periodical updating of the internal/external correlation.

    E Kanoulas;J A Aslam;G C Sharp;R I Berbeco

  • Document selection methodologies for efficient and effective learning-to-rank

    Javed A. Aslam;Evangelos Kanoulas;Virgil Pavlu;Stefan Savev

  • Towards Question-based Recommender Systems

    Jie Zou;Yifan Chen;Evangelos Kanoulas

  • Overview of the TREC 2014 Session Track

    Ben Carterette;Evangelos Kanoulas;Mark M. Hall;Paul D. Clough

  • Dynamic Embeddings for User Profiling in Twitter

    Shangsong Liang;Xiangliang Zhang;Zhaochun Ren;Evangelos Kanoulas

  • Query Resolution for Conversational Search with Limited Supervision.

    Nikos Voskarides;Dan Li;Pengjie Ren;Evangelos Kanoulas

  • Query Resolution for Conversational Search with Limited Supervision

    Nikos Voskarides;Dan Li;Pengjie Ren;Evangelos Kanoulas

  • Neural Vector Spaces for Unsupervised Information Retrieval

    Christophe Van Gysel;Maarten de Rijke;Evangelos Kanoulas

  • Million Query Track 2008 Overview

    James Allan;Javed A. Aslam;Ben Carterette;Virgil Pavlu

Frequent Co-Authors

Maarten de Rijke
Maarten de Rijke University of Amsterdam
Ben Carterette
Ben Carterette Spotify, US
Javed A. Aslam
Javed A. Aslam Northeastern University
Paul Clough
Paul Clough University of Sheffield
Mark Sanderson
Mark Sanderson RMIT University
Leif Azzopardi
Leif Azzopardi University of Strathclyde
James Allan
James Allan University of Massachusetts Amherst
Nick Craswell
Nick Craswell Microsoft (United States)
Stephen Robertson
Stephen Robertson University College London
Robert Gaizauskas
Robert Gaizauskas University of Sheffield

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a range of online degrees and additional career pathways. If you are considering expanding your expertise, related fields like physics and engineering offer strong technical foundations. Some of the cheapest online physics degree options can make it affordable to add this highly respected qualification to your credentials.

The tech sector also has a strong demand for data experts. If your interests align with big data, analytics, or machine learning, pursuing a data scientist degree can provide advanced skills to stand out in this field. Likewise, many students consider engineering tracks. Some of the top online electrical engineering schools in the USA offer programs that blend well with computer science backgrounds, creating new opportunities in tech development and research.

For those wishing to quickly enhance their CVs, you might look into quick certifications that pay well. These certifications can help you advance or pivot your career with less time and investment compared to traditional degrees.

Best Scientists Citing Evangelos Kanoulas

Trending Scientists