Anisa Rula

2.8k total citations · 2 hit papers
29 papers, 1.3k citations indexed

About

Anisa Rula is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Anisa Rula has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 16 papers in Management Science and Operations Research and 11 papers in Information Systems. Recurrent topics in Anisa Rula's work include Semantic Web and Ontologies (18 papers), Data Quality and Management (16 papers) and Service-Oriented Architecture and Web Services (4 papers). Anisa Rula is often cited by papers focused on Semantic Web and Ontologies (18 papers), Data Quality and Management (16 papers) and Service-Oriented Architecture and Web Services (4 papers). Anisa Rula collaborates with scholars based in Italy, Germany and United Kingdom. Anisa Rula's co-authors include Andrea Maurino, Amrapali Zaveri, Jens Lehmann, Sören Auer, Ricardo Pietrobon, Axel-Cyrille Ngonga Ngomo, Steffen Staab, Eva Blomqvist, Michael Cochez and Antoine Zimmermann and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Future Generation Computer Systems.

In The Last Decade

Anisa Rula

28 papers receiving 1.2k 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.

Knowledge Graphs

2021 632 citations Aidan Hogan, Eva Blomqvist et al. ACM Computing Surveys profile →
Quality assessment for Linked Data: A Survey

2015 328 citations Amrapali Zaveri, Anisa Rula et al. Semantic Web profile →

Peers

Anisa Rula

AI

MSOR

IS

MB

CNC

Sebastian Neumaier Austria

Eva Blomqvist Sweden

Claudia d’Amato Italy

Antoine Zimmermann France

Rafael Berlanga Spain

María-Esther Vidal Germany

Sabrina Kirrane Austria

Ernesto Jiménez-Ruiz United Kingdom

Dimitris Kontokostas Germany

Juan Sequeda United States

Sebastian Neumaier Austria

Anisa Rula

619 ×0.7

AI

323 ×0.7

MSOR

252 ×0.7

IS

113 ×0.6

MB

99 ×0.8

CNC

Citations per year, relative to Anisa Rula Anisa Rula (= 1×) peers Sebastian Neumaier

Countries citing papers authored by Anisa Rula

Since Specialization

Citations

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

Fields of papers citing papers by Anisa Rula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anisa Rula

This figure shows the co-authorship network connecting the top 25 collaborators of Anisa Rula. A scholar is included among the top collaborators of Anisa Rula 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 Anisa Rula. Anisa Rula 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:

20 of 20 papers shown

1.

Cappiello, Cinzia, Irene Celino, David Chaves-Fraga, et al.. (2025). From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles. Proceedings of the VLDB Endowment. 18(5). 1390–1397. 1 indexed citations

2.

Bianchini, Devis, et al.. (2024). Leveraging Large Language Models for Data Service Discovery. Institutional Research Information System (Università degli Studi di Brescia). 1097–1099.

3.

Bianchini, Devis, et al.. (2024). Digital Thread for Smart Products: A Survey on Technologies, Challenges, and Opportunities in Service-Oriented Supply Chains. IEEE Access. 12. 125284–125305. 5 indexed citations

4.

Rula, Anisa & Jennifer D’Souza. (2023). Procedural Text Mining with Large Language Models. Institutional Research Information System (Università degli Studi di Brescia). 9–16. 4 indexed citations

5.

Rula, Anisa, et al.. (2023). Annotation and Extraction of Industrial Procedural Knowledge from Textual Documents. Institutional Research Information System (Università degli Studi di Brescia). 1–8. 2 indexed citations

6.

Gayo, José Emilio Labra, Anastasia Dimou, Katherine Thornton, & Anisa Rula. (2022). Editorial of knowledge graphs validation and quality. Semantic Web. 14(1). 3–4. 1 indexed citations

7.

Groth, Paul, Anisa Rula, Jodi Schneider, et al.. (2022). The Semantic Web: ESWC 2022 Satellite Events. Lecture notes in computer science. 4 indexed citations

8.

Batini, Carlo & Anisa Rula. (2021). From Data Quality to Big Data Quality: A Data Integration Scenario.. SEBD. 36–47. 2 indexed citations

9.

Hogan, Aidan, Eva Blomqvist, Michael Cochez, et al.. (2021). Knowledge Graphs. ACM Computing Surveys. 54(4). 1–37. 632 indexed citations breakdown →

10.

Paoli, Flavio De, et al.. (2020). A fully automated approach to a complete Semantic Table Interpretation. Future Generation Computer Systems. 112. 478–500. 25 indexed citations

11.

Rula, Anisa, et al.. (2019). Semantic Table Interpretation Using MantisTable.. 2536. 195–196. 1 indexed citations

12.

Maurino, Andrea, et al.. (2019). Modelling and Linking Company Data in the euBusinessGraph Platform. BOA (University of Milano-Bicocca). 1–6. 2 indexed citations

13.

Rula, Anisa, Matteo Palmonari, Simone Rubinacci, et al.. (2018). TISCO: Temporal scoping of facts. Journal of Web Semantics. 54. 72–86. 10 indexed citations

14.

Rula, Anisa, et al.. (2017). Toward Veracity Assessment in RDF Knowledge Bases. Journal of Data and Information Quality. 9(3). 1–26. 12 indexed citations

15.

Rula, Anisa, et al.. (2015). Proceedings of the 2nd Workshop on Linked Data Quality (LDQ). Data Archiving and Networked Services (DANS). 1 indexed citations

16.

Batini, Carlo, Anisa Rula, Monica Scannapieco, & Gianluigi Viscusi. (2015). From Data Quality to Big Data Quality. Journal of Database Management. 26(1). 60–82. 78 indexed citations

17.

Rula, Anisa, Luca Panziera, Matteo Palmonari, & Andrea Maurino. (2014). Capturing the currency of DBpedia descriptions and get insight into their validity. BOA (University of Milano-Bicocca). 1264. 61–72. 6 indexed citations

18.

Rula, Anisa & Amrapali Zaveri. (2014). Methodology for assessment of linked data quality. BOA (University of Milano-Bicocca). 1215. 1–4. 11 indexed citations

19.

Rula, Anisa, Matteo Palmonari, & Andrea Maurino. (2012). Capturing the Age of Linked Open Data: Towards a Dataset-Independent Framework. BOA (University of Milano-Bicocca). 218–225. 12 indexed citations

20.

Zaveri, Amrapali, Anisa Rula, Andrea Maurino, et al.. (2012). Quality Assessment Methodologies for Linked Open Data A Systematic Literature Review and Conceptual Framework. 26 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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