Michael Schlichtkrull

5.9k total citations · 1 hit paper
11 papers, 295 citations indexed

About

Michael Schlichtkrull is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Schlichtkrull has authored 11 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Schlichtkrull's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Misinformation and Its Impacts (3 papers). Michael Schlichtkrull is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Misinformation and Its Impacts (3 papers). Michael Schlichtkrull collaborates with scholars based in United Kingdom, Netherlands and Denmark. Michael Schlichtkrull's co-authors include Andreas Vlachos, Zhijiang Guo, Oana Cocarascu, Arpit Mittal, Xilun Chen, Dmytro Okhonko, Sonal Gupta, Vladimir Karpukhin, Christos Christodoulopoulos and Scott Yih and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, ORCA Online Research @Cardiff (Cardiff University) and Queen Mary Research Online (Queen Mary University of London).

In The Last Decade

Michael Schlichtkrull

10 papers receiving 287 citations

Hit Papers

align trajectories

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.

A Survey on Automated Fact-Checking

2022 167 citations Zhijiang Guo, Michael Schlichtkrull et al. Transactions of the Association for Computational Linguistics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Schlichtkrull United Kingdom	7	241	104	80	21	20	11	295
Zhijiang Guo United Kingdom	10	359 1.5×	132 1.3×	95 1.2×	25 1.2×	43 2.1×	12	431
Maram Hasanain Qatar	9	191 0.8×	146 1.4×	84 1.1×	10 0.5×	10 0.5×	36	269
Yaakov HaCohen‐Kerner Israel	10	305 1.3×	36 0.3×	105 1.3×	8 0.4×	20 1.0×	42	379
Davide Ceolin Netherlands	8	103 0.4×	80 0.8×	64 0.8×	23 1.1×	10 0.5×	33	182
Rohan Ramanath United States	7	144 0.6×	167 1.6×	100 1.3×	23 1.1×	11 0.6×	10	245
Tim Gollub Germany	8	193 0.8×	58 0.6×	102 1.3×	14 0.7×	29 1.4×	19	268
Jesús Vilares Spain	9	233 1.0×	118 1.1×	143 1.8×	12 0.6×	15 0.8×	48	320
Fouzi Harrag Algeria	9	315 1.3×	40 0.4×	167 2.1×	9 0.4×	14 0.7×	25	356
Youness Madani Morocco	11	190 0.8×	60 0.6×	134 1.7×	11 0.5×	13 0.7×	23	275
Yunqiu Shao China	9	169 0.7×	23 0.2×	57 0.7×	21 1.0×	27 1.4×	21	264

Countries citing papers authored by Michael Schlichtkrull

Since Specialization

Citations

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

Fields of papers citing papers by Michael Schlichtkrull

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schlichtkrull

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Schlichtkrull, Michael, et al.. (2024). Document-level Claim Extraction and Decontextualisation for Fact-Checking. 11943–11954.

2.

Schlichtkrull, Michael, et al.. (2024). Automated Focused Feedback Generation for Scientific Writing Assistance. 9742–9763. 6 indexed citations

3.

Schlichtkrull, Michael, Yulong Chen, Zhenyun Deng, et al.. (2024). The Automated Verification of Textual Claims (AVeriTeC) Shared Task. 1–26. 1 indexed citations

4.

Schlichtkrull, Michael, et al.. (2023). The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who. ORCA Online Research @Cardiff (Cardiff University). 8618–8642. 2 indexed citations

5.

Schlichtkrull, Michael, et al.. (2023). Multimodal Automated Fact-Checking: A Survey. Queen Mary Research Online (Queen Mary University of London). 5430–5448. 5 indexed citations

6.

Oğuz, Barlas, Xilun Chen, Vladimir Karpukhin, et al.. (2022). UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. 1535–1546. 45 indexed citations

7.

Guo, Zhijiang, Michael Schlichtkrull, & Andreas Vlachos. (2022). A Survey on Automated Fact-Checking. Transactions of the Association for Computational Linguistics. 10. 178–206. 167 indexed citations breakdown →

8.

Guo, Zhijiang, Michael Schlichtkrull, James Thorne, et al.. (2021). The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task. Queen Mary Research Online (Queen Mary University of London). 1–13. 42 indexed citations

9.

Schlichtkrull, Michael & Anders Søgaard. (2017). Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages. 220–229. 10 indexed citations

10.

Schlichtkrull, Michael & Hėctor Martínez Alonso. (2016). MSejrKu at SemEval-2016 Task 14: Taxonomy Enrichment by Evidence Ranking. 7 indexed citations

11.

Schlichtkrull, Michael. (2015). Learning affective projections for emoticons on Twitter. abs 1309 4168. 539–543. 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.

Explore authors with similar magnitude of impact