Lars Hillebrand

427 total citations
19 papers, 212 citations indexed

About

Lars Hillebrand is a scholar working on Artificial Intelligence, Management Science and Operations Research and Political Science and International Relations. According to data from OpenAlex, Lars Hillebrand has authored 19 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 3 papers in Political Science and International Relations. Recurrent topics in Lars Hillebrand's work include Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers) and Stock Market Forecasting Methods (5 papers). Lars Hillebrand is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers) and Stock Market Forecasting Methods (5 papers). Lars Hillebrand collaborates with scholars based in Germany. Lars Hillebrand's co-authors include Willi A. Kalender, Dirk Ertel, Y. Kyriakou, Christian Bauckhage, Rafet Sifa, Rajkumar Ramamurthy, Yiannis Kyriakou, Sebastian Houben, Cong Zhao and Gitta Domik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics in Medicine and Biology and International Journal of Data Science and Analytics.

In The Last Decade

Lars Hillebrand

17 papers receiving 200 citations

Peers

Lars Hillebrand

RNMI

RADIA

MSOR

Rishabh Kapoor United States

Laurel Orr United States

Ananya Choudhury Netherlands

Kartika Fithriasari Indonesia

Jörg Riesmeier Germany

Alexander B. Konovalov Russia

Joonki Noh United States

Roger Schaer Switzerland

Varsha Nemade India

Raj Kettimuthu United States

Rishabh Kapoor United States

Lars Hillebrand

84 ×0.9

RNMI

22 ×0.3

141 ×2.0

47 ×1.3

RADIA

15 ×0.4

MSOR

Citations per year, relative to Lars Hillebrand Lars Hillebrand (= 1×) peers Rishabh Kapoor

Countries citing papers authored by Lars Hillebrand

Since Specialization

Citations

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

Fields of papers citing papers by Lars Hillebrand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Hillebrand

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

All Works

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19 of 19 papers shown

Zhao, Cong, et al.. (2024). Leveraging Large Language Models for Few-Shot KPI Extraction from Financial Reports. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 4864–4868. 1 indexed citations

Hillebrand, Lars, et al.. (2024). Informed Named Entity Recognition Decoding for Generative Language Models. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 6001–6010. 2 indexed citations

Hillebrand, Lars, et al.. (2024). Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance. ArXiv.org. 8668–8670.

Zhao, Cong, et al.. (2024). A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 4737–4742. 1 indexed citations

Houben, Sebastian, et al.. (2023). Automatic Consistency Checking of Table and Text in Financial Documents. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 4. 3 indexed citations

Hillebrand, Lars, et al.. (2023). Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models. ArXiv.org. 4626–4635. 14 indexed citations

Hillebrand, Lars, et al.. (2023). Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2814–2822. 3 indexed citations

Hillebrand, Lars, et al.. (2023). Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–4. 14 indexed citations

Hillebrand, Lars, et al.. (2022). Towards automating Numerical Consistency Checks in Financial Reports. 2022 IEEE International Conference on Big Data (Big Data). 5915–5924. 8 indexed citations

10.

Hillebrand, Lars, et al.. (2022). KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. 2022 26th International Conference on Pattern Recognition (ICPR). 606–612. 28 indexed citations

11.

Sifa, Rafet, et al.. (2021). Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 6696–6701. 7 indexed citations

12.

Hillebrand, Lars, et al.. (2021). Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. SHILAP Revista de lepidopterología. 3(1). 123–167. 2 indexed citations

13.

Ramamurthy, Rajkumar, et al.. (2021). Anonymization of German financial documents using neural network-based language models with contextual word representations. International Journal of Data Science and Analytics. 13(2). 151–161. 23 indexed citations

14.

Hillebrand, Lars, et al.. (2020). Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

15.

Sifa, Rafet, et al.. (2019). Towards Contradiction Detection in German: a Translation-Driven Approach. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2497–2505. 9 indexed citations

16.

Hillebrand, Lars, et al.. (2009). Interactive GPU-accelerated image reconstruction in cone-beam CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7258. 72582A–72582A. 5 indexed citations

17.

Kyriakou, Y., et al.. (2009). Image-based online correction of misalignment artifacts in cone-beam CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7258. 72581V–72581V. 2 indexed citations

18.

Kyriakou, Y., et al.. (2008). Simultaneous misalignment correction for approximate circular cone-beam computed tomography. Physics in Medicine and Biology. 53(22). 6267–6289. 89 indexed citations

19.

Hillebrand, Lars, et al.. (2005). Integration of Point Based Rendering into a Common Scene Graph System. 1 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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