Adam Jatowt
- Artificial Intelligence top 0.5%
- Topic Modeling 74
- Advanced Text Analysis Techniques 53
- Natural Language Processing Techniques 44
- Information Systems top 1%
- Web Data Mining and Analysis 43
- Information Retrieval and Search Behavior 18
- Signal Processing top 5%
- Data Management and Algorithms 12
- Health Informatics top 10%
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- Complex Network Analysis Techniques 25
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- Human Mobility and Location-Based Analysis 14
- Co-authors
- Katsumi TanakaRicardo CamposAlípio JorgeArian PasqualiVítor MangaraviteCélia NunesYukiko KawaiMichael Färber
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)IEEE Access (3 papers)
In The Last Decade
Adam Jatowt
179 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 1.4k
- Information Systems 703
- Signal Processing 198
- Health Informatics 19
- Computer Vision and Pattern Recognition 275
Countries citing papers authored by Adam Jatowt
This map shows the geographic impact of Adam Jatowt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Adam Jatowt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Jatowt more than expected).
Fields of papers citing papers by Adam Jatowt
This network shows the impact of papers produced by Adam Jatowt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Adam Jatowt. The network helps show where Adam Jatowt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adam Jatowt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 14 | |
| 17 | 2021 | 0 | |
| 18 | Understanding Characteristics of Biased Sentences in News Articles. | 2018 | 10 |
| 19 | Proceedings of the 3rd HistoInformatics Workshop on Computational History (HistoInformatics 2016) co-located with the Digital Humanities 2016 conference (DH 2016) | 2016 | 1 |
| 20 | Overview of NTCIR-11 Temporal Information Access (Temporalia) Task | 2014 | 22 |
About Adam Jatowt
Adam Jatowt is a scholar working on Artificial Intelligence, Information Systems and Communication, having authored 199 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (74 papers), Advanced Text Analysis Techniques (53 papers), Natural Language Processing Techniques (44 papers), Web Data Mining and Analysis (43 papers), Complex Network Analysis Techniques (25 papers), Information Retrieval and Search Behavior (18 papers), Human Mobility and Location-Based Analysis (14 papers) and Data Management and Algorithms (12 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Information Systems (703 citations) and Signal Processing (198 citations). Adam Jatowt has collaborated with scholars based in Japan, Austria and China. Frequent co-authors include Katsumi Tanaka, Ricardo Campos, Alípio Jorge, Arian Pasquali, Vítor Mangaravite, Célia Nunes, Yukiko Kawai, Michael Färber, Ching‐man Au Yeung and Antoine Doucet. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.