World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5421
World Ranking
13030
National Ranking
116

Overview

Adam Jatowt is affiliated with the University of Innsbruck in Austria and specializes primarily in the field of Computer Science. Their research contributions are especially prominent in subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Statistical and Nonlinear Physics.

The scientist's research spans several main topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Web Data Mining and Analysis
  • Complex Network Analysis Techniques

Several recent papers illustrate the scope of Adam Jatowt's work. These include:

  • "Survey of Post-OCR Processing Approaches" (2021), published in ACM Computing Surveys
  • "Citation recommendation: approaches and datasets" (2020), published in Repository KITopen (Karlsruhe Institute of Technology)
  • "An Investigation of SMOTE based Methods for Imbalanced Datasets with Data Complexity Analysis" (2022), published in IEEE Transactions on Knowledge and Data Engineering
  • "A Survey on Multi-modal Summarization" (2023), published in ACM Computing Surveys
  • "Joint event extraction along shortest dependency paths using graph convolutional networks" (2020), published in Knowledge-Based Systems

Frequent collaborators include Ricardo Campos, Antoine Doucet, Alípio Jorge, Abdelrahman Abdallah, and Sumit Bhatia, reflecting a network of sustained co-authorship engagements.

Adam Jatowt has published extensively in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), ACM SIGIR Forum, International Journal on Digital Libraries, and IEEE Access.

The scientist has also contributed to several book publications, primarily with Springer Science+Business Media. Notable titles include multiple editions of "Neural Information Processing" (2023) and "Computational approaches to semantic change (Volume 6)" (2021), published by BiblioBoard Library Catalog (Open Research Library).

Best Publications

  • YAKE! Keyword extraction from single documents using multiple local features

    Ricardo Campos;Vítor Mangaravite;Arian Pasquali;Alípio Jorge

  • Survey of Temporal Information Retrieval and Related Applications

    Ricardo Campos;Gaël Dias;Alípio M. Jorge;Adam Jatowt

  • Can social bookmarking enhance search in the web

    Yusuke Yanbe;Adam Jatowt;Satoshi Nakamura;Katsumi Tanaka

  • Survey of Post-OCR Processing Approaches

    Thi Tuyet Hai Nguyen;Adam Jatowt;Mickael Coustaty;Antoine Doucet

  • YAKE! Collection-Independent Automatic Keyword Extractor

    Ricardo Campos;Vítor Mangaravite;Arian Pasquali;Alípio Mário Jorge

  • Citation recommendation: approaches and datasets

    Michael Färber;Adam Jatowt

  • A framework for analyzing semantic change of words across time

    Adam Jatowt;Kevin Duh

  • Survey of Computational Approaches to Lexical Semantic Change

    Nina Tahmasebi;Lars Borin;Adam Jatowt

  • Studying how the past is remembered: towards computational history through large scale text mining

    Ching-man Au Yeung;Adam Jatowt

  • A Text Feature Based Automatic Keyword Extraction Method for Single Documents

    Ricardo Campos;Vítor Mangaravite;Arian Pasquali;Alípio Mário Jorge

  • Trustworthiness analysis of web search results

    Satoshi Nakamura;Shinji Konishi;Adam Jatowt;Hiroaki Ohshima

  • An Investigation of SMOTE Based Methods for Imbalanced Datasets With Data Complexity Analysis

    Unknown

  • Survey of Computational Approaches to Diachronic Conceptual Change.

    Nina Tahmasebi;Lars Borin;Adam Jatowt

  • A Survey on Multi-modal Summarization.

    Anubhav Jangra;Adam Jatowt;Sriparna Saha;Mohammad Hasanuzzaman

  • Estimating document focus time

    Adam Jatowt;Ching-Man Au Yeung;Katsumi Tanaka

  • Deep statistical analysis of OCR errors for effective post-OCR processing

    Thi-Tuyet-Hai Nguyen;Adam Jatowt;Mickael Coustaty;Nhu-Van Nguyen

  • Identifying breakthrough scientific papers

    Pavel Savov;Adam Jatowt;Radoslaw Nielek

  • Extracting collective expectations about the future from large text collections

    Adam Jatowt;Ching-man Au Yeung

  • Multi-hop Question Answering

    Unknown

  • Neural Machine Translation with BERT for Post-OCR Error Detection and Correction

    Thi Tuyet Hai Nguyen;Adam Jatowt;Nhu-Van Nguyen;Mickael Coustaty

  • The Past is Not a Foreign Country : Detecting Semantically Similar Terms across Time

    Yating Zhang;Adam Jatowt;Sourav S. Bhowmick;Katsumi Tanaka

  • Overview of NTCIR-11 Temporal Information Access (Temporalia) Task

    Hideo Joho;Adam Jatowt;Roi Blanco;Hajime Naka

  • Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing

    Sora Lim;Adam Jatowt;Michael Färber;Masatoshi Yoshikawa

Frequent Co-Authors

Katsumi Tanaka
Katsumi Tanaka Kyoto University
Sourav S. Bhowmick
Sourav S. Bhowmick Nanyang Technological University
Mitsuru Ishizuka
Mitsuru Ishizuka University of Tokyo
Carlos Castillo
Carlos Castillo Pompeu Fabra University
Joemon M. Jose
Joemon M. Jose University of Glasgow
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Antal van den Bosch
Antal van den Bosch Radboud University
Ee-Peng Lim
Ee-Peng Lim Singapore Management University
Min Zhang
Min Zhang Tsinghua University
James Caverlee
James Caverlee Texas A&M University

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