Jakub Šimko

452 total citations
31 papers, 221 citations indexed

About

Jakub Šimko is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jakub Šimko has authored 31 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Sociology and Political Science and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jakub Šimko's work include Misinformation and Its Impacts (7 papers), Mobile Crowdsensing and Crowdsourcing (7 papers) and Gaze Tracking and Assistive Technology (5 papers). Jakub Šimko is often cited by papers focused on Misinformation and Its Impacts (7 papers), Mobile Crowdsensing and Crowdsourcing (7 papers) and Gaze Tracking and Assistive Technology (5 papers). Jakub Šimko collaborates with scholars based in Slovakia, Czechia and United States. Jakub Šimko's co-authors include Mária Bieliková, Róbert Móro, Ivan Srba, Peter Brusilovsky, Michal Kompan, Dongwon Lee, Cesare Pautasso, Dereck Toker, Pavol Návrat and Thái Hoàng Lê and has published in prestigious journals such as International Journal of Human-Computer Studies, Multimedia Tools and Applications and International Journal on Semantic Web and Information Systems.

In The Last Decade

Jakub Šimko

30 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakub Šimko Slovakia 9 89 65 45 40 39 31 221
Róbert Móro Slovakia 10 137 1.5× 77 1.2× 71 1.6× 13 0.3× 19 0.5× 38 267
Mauri Kaipainen Finland 10 73 0.8× 45 0.7× 19 0.4× 15 0.4× 33 0.8× 38 251
Mettina Veenstra Netherlands 8 67 0.8× 50 0.8× 50 1.1× 9 0.2× 69 1.8× 22 219
Amaç Herdağdelen Italy 8 100 1.1× 46 0.7× 46 1.0× 10 0.3× 14 0.4× 15 210
Jonathan Stray United States 6 78 0.9× 88 1.4× 24 0.5× 18 0.5× 50 1.3× 11 251
Mina Lee United States 7 167 1.9× 14 0.2× 46 1.0× 22 0.6× 27 0.7× 11 261
Rachael Tatman United States 6 181 2.0× 24 0.4× 18 0.4× 14 0.3× 15 0.4× 14 297
Stéfan Sinclair Canada 8 122 1.4× 29 0.4× 30 0.7× 7 0.2× 43 1.1× 47 303
Joseph Corneli United Kingdom 8 82 0.9× 17 0.3× 12 0.3× 17 0.4× 34 0.9× 32 195
Mija M. Van Der Wege United States 4 94 1.1× 28 0.4× 70 1.6× 9 0.2× 105 2.7× 5 243

Countries citing papers authored by Jakub Šimko

Since Specialization
Citations

This map shows the geographic impact of Jakub Šimko'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 Jakub Šimko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Šimko more than expected).

Fields of papers citing papers by Jakub Šimko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakub Šimko. 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 Jakub Šimko. The network helps show where Jakub Šimko may publish in the future.

Co-authorship network of co-authors of Jakub Šimko

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Šimko. A scholar is included among the top collaborators of Jakub Šimko 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 Jakub Šimko. Jakub Šimko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Šimko, Jakub, et al.. (2024). Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation. Zenodo (CERN European Organization for Nuclear Research). 11005–11044. 1 indexed citations
2.
Móro, Róbert, et al.. (2024). Authorship Obfuscation in Multilingual Machine-Generated Text Detection. Zenodo (CERN European Organization for Nuclear Research). 6348–6368. 3 indexed citations
3.
Šimko, Jakub, et al.. (2024). Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation. Zenodo (CERN European Organization for Nuclear Research). 13148–13171. 1 indexed citations
4.
Šimko, Jakub, et al.. (2023). ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness. Zenodo (CERN European Organization for Nuclear Research). 1889–1905. 14 indexed citations
5.
Móro, Róbert, Ivan Srba, Thái Hoàng Lê, et al.. (2023). MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. Zenodo (CERN European Organization for Nuclear Research). 9960–9987. 14 indexed citations
6.
Srba, Ivan, et al.. (2023). Multilingual Previously Fact-Checked Claim Retrieval. 16477–16500. 4 indexed citations
7.
Srba, Ivan, et al.. (2022). Auditing YouTube’s Recommendation Algorithm for Misinformation Filter Bubbles. arXiv (Cornell University). 1(1). 1–33. 25 indexed citations
8.
Srba, Ivan, et al.. (2022). Monant Medical Misinformation Dataset. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2949–2959. 7 indexed citations
9.
Šimko, Jakub, et al.. (2022). Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5349–5353.
10.
11.
Srba, Ivan, et al.. (2019). Unravelling the basic concepts and intents of misbehavior in post-truth society. Dialnet (Universidad de la Rioja). 15(3). 421–428. 9 indexed citations
12.
Toker, Dereck, Róbert Móro, Jakub Šimko, Mária Bieliková, & Cristina Conati. (2019). Impact of English Reading Comprehension Abilities on Processing Magazine Style Narrative Visualizations and Implications for Personalization. 309–317. 6 indexed citations
13.
Šimko, Jakub, et al.. (2019). Fake News Reading on Social Media. 221–230. 12 indexed citations
14.
Móro, Róbert, et al.. (2019). YesElf. 39–44. 3 indexed citations
15.
Kompan, Michal, et al.. (2018). Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study.. Conference on Recommender Systems. 32–36. 1 indexed citations
16.
Šimko, Jakub, et al.. (2018). Screen recording segmentation to scenes for eye-tracking analysis. Multimedia Tools and Applications. 78(2). 2401–2425. 3 indexed citations
17.
Šimko, Jakub, et al.. (2013). Human computation: Image metadata acquisition based on a single-player annotation game. International Journal of Human-Computer Studies. 71(10). 933–945. 6 indexed citations
18.
Šimko, Jakub & Mária Bieliková. (2012). Personal image tagging. 88–93. 4 indexed citations
19.
Šimko, Jakub, et al.. (2011). Semantics Discovery via Human Computation Games. International Journal on Semantic Web and Information Systems. 7(3). 23–45. 4 indexed citations
20.
Šimko, Jakub, et al.. (2010). Semantic History Map: Graphs Aiding Web Revisitation Support. 2. 206–210. 5 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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