Adam Jatowt

5.3k total citations · 1 hit paper
199 papers, 2.2k citations indexed

About

Adam Jatowt is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Adam Jatowt has authored 199 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Artificial Intelligence, 71 papers in Information Systems and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Adam Jatowt's work include Topic Modeling (74 papers), Advanced Text Analysis Techniques (53 papers) and Natural Language Processing Techniques (44 papers). Adam Jatowt is often cited by papers focused on Topic Modeling (74 papers), Advanced Text Analysis Techniques (53 papers) and Natural Language Processing Techniques (44 papers). Adam Jatowt collaborates with scholars based in Japan, Austria and China. Adam Jatowt's co-authors include Katsumi Tanaka, Ricardo Campos, Alípio Jorge, Célia Nunes, Arian Pasquali, Vítor Mangaravite, Yukiko Kawai, Michael Färber, Ching‐man Au Yeung and Antoine Doucet and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Adam Jatowt

179 papers receiving 2.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

YAKE! Keyword extraction from single documents using multiple local features

2019 339 citations Ricardo Campos, Alípio Jorge et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Adam Jatowt Japan	21	1.4k	703	275	207	198	199	2.2k
Roger Nkambou Canada	18	949 0.7×	728 1.0×	210 0.8×	153 0.7×	148 0.7×	101	1.7k
Petr Sojka Czechia	11	1.7k 1.2×	494 0.7×	218 0.8×	298 1.4×	139 0.7×	81	2.7k
Jie Yang Netherlands	19	1.0k 0.7×	711 1.0×	246 0.9×	146 0.7×	121 0.6×	134	1.8k
Nataša Milić-Frayling United Kingdom	20	812 0.6×	618 0.9×	359 1.3×	245 1.2×	122 0.6×	82	2.1k
Pavel Serdyukov Russia	22	818 0.6×	939 1.3×	371 1.3×	148 0.7×	227 1.1×	102	1.9k
Prem Melville United States	21	1.7k 1.2×	1.0k 1.5×	531 1.9×	158 0.8×	166 0.8×	40	2.7k
Yanyan Lan China	25	2.2k 1.5×	1.2k 1.8×	545 2.0×	243 1.2×	147 0.7×	107	3.3k
Wanli Zuo China	18	1.0k 0.7×	482 0.7×	124 0.5×	170 0.8×	116 0.6×	127	1.5k
Jaap Kamps Netherlands	22	1.8k 1.3×	1.2k 1.7×	287 1.0×	146 0.7×	197 1.0×	209	2.6k

Countries citing papers authored by Adam Jatowt

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Adam Jatowt

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Jatowt. A scholar is included among the top collaborators of Adam Jatowt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adam Jatowt. Adam Jatowt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sugiyama, Kazunari, et al.. (2025). Domain Counterfactual Data Augmentation for Explainable Recommendation. ACM Transactions on Information Systems. 43(3). 1–30. 1 indexed citations

Kumar, Raghvendra, et al.. (2024). Extracting the Full Story: A Multimodal Approach and Dataset to Crisis Summarization in Tweets. IEEE Transactions on Computational Social Systems. 11(6). 7846–7856. 3 indexed citations

Campos, Ricardo, Alípio Jorge, Adam Jatowt, et al.. (2024). Report on the 7th International Workshop on Narrative Extraction from Texts (Text2Story 2024) at ECIR 2024. ACM SIGIR Forum. 58(1). 1–11.

Jatowt, Adam, et al.. (2024). An Investigation of SMOTE Based Methods for Imbalanced Datasets with Data Complexity Analysis (Extended Abstract). 5735–5736.

Kumar, Raghvendra, et al.. (2024). Silver Lining in the Fake News Cloud: Can Large Language Models Help Detect Misinformation?. IEEE Transactions on Artificial Intelligence. 6(1). 14–24. 8 indexed citations

Jatowt, Adam, et al.. (2024). Temporal validity reassessment: commonsense reasoning about information obsoleteness. Discover Computing. 27(1).

Mahmoud, Mohamed, et al.. (2024). ArabicaQA: A Comprehensive Dataset for Arabic Question Answering. 2049–2059. 8 indexed citations

Jatowt, Adam, et al.. (2023). Exploring the state of the art in legal QA systems. Journal Of Big Data. 10(1). 12 indexed citations

Sugiyama, Kazunari, et al.. (2023). AdaReX: Cross-Domain, Adaptive, and Explainable Recommender System. 272–281. 3 indexed citations

10.

Tanveer, M., Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, & Adam Jatowt. (2023). Neural Information Processing. Lecture notes in computer science. 1 indexed citations

11.

Ang, Chee Siang, Robert A. Neimeyer, Laurie A. Burke, et al.. (2022). Investigation of a Web-Based Explainable AI Screening for Prolonged Grief Disorder. IEEE Access. 10. 41164–41185. 8 indexed citations

12.

Jatowt, Adam, et al.. (2021). Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries. 377–387. 14 indexed citations

13.

Siriaraya, Panote, Yihong Zhang, Yuanyuan Wang, et al.. (2019). Witnessing Crime through Tweets. 568–571. 14 indexed citations

14.

Jatowt, Adam, et al.. (2018). Understanding Characteristics of Biased Sentences in News Articles.. 10 indexed citations

15.

Li, Qian, Ziwei Li, Jinmao Wei, et al.. (2018). A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task. International Conference on Computational Linguistics. 1754–1762. 14 indexed citations

16.

Färber, Michael, Alexander Thiemann, & Adam Jatowt. (2018). A High-Quality Gold Standard for Citation-based Tasks.. Language Resources and Evaluation. 7 indexed citations

17.

Jatowt, Adam, et al.. (2016). Proceedings of the 3rd HistoInformatics Workshop on Computational History (HistoInformatics 2016) co-located with the Digital Humanities 2016 conference (DH 2016). Open Repository and Bibliography (University of Luxembourg). 1 indexed citations

18.

Joho, Hideo, et al.. (2014). Overview of NTCIR-11 Temporal Information Access (Temporalia) Task. NTCIR. 22 indexed citations

19.

Nakamura, Satoshi, et al.. (2007). Interactive Re-ranking of Web Search Results by Social Bookmarks. IEICE Technical Report; IEICE Tech. Rep.. 107(131). 259–264.

20.

Jatowt, Adam & Mitsuru Ishizuka. (2006). Temporal multi-page summarization. Web Intelligence and Agent Systems An International Journal. 4(2). 163–180. 10 indexed citations

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.

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