Carolin Haas

910 total citations
5 papers, 30 citations indexed

About

Carolin Haas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery. According to data from OpenAlex, Carolin Haas has authored 5 papers receiving a total of 30 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Surgery. Recurrent topics in Carolin Haas's work include Multimodal Machine Learning Applications (3 papers), Natural Language Processing Techniques (3 papers) and Topic Modeling (3 papers). Carolin Haas is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Natural Language Processing Techniques (3 papers) and Topic Modeling (3 papers). Carolin Haas collaborates with scholars based in Germany and Italy. Carolin Haas's co-authors include Stefan Riezler, Lothar Rink, Martina Maywald, Andreas Goetzenich, Christian Stoppe, Carola Berking, Maximilian M. L. Knott, Lars E. French, Sebastian Mastnik and Cristel Ruini and has published in prestigious journals such as Journal of Leukocyte Biology and Journal of Immunotherapy.

In The Last Decade

Carolin Haas

5 papers receiving 25 citations

Peers

Carolin Haas

AI

CVPR

PRM

IS

EPIDE

Sanmi Koyejo United States

Dung B. Nguyen Vietnam

Shima Asaadi Germany

Narine Kokhlikyan United States

Soumya Sanyal United States

Shreyas Saxena France

Tomasz Szandała Poland

Danila Sinopalnikov United States

Mélissa Rossi France

Mukund Sridhar United States

Sanmi Koyejo United States

Carolin Haas

28 ×1.2

AI

6 ×0.6

CVPR

2 ×0.5

PRM

2 ×0.7

IS

0 ×0.0

EPIDE

Citations per year, relative to Carolin Haas Carolin Haas (= 1×) peers Sanmi Koyejo

Countries citing papers authored by Carolin Haas

Since Specialization

Citations

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

Fields of papers citing papers by Carolin Haas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolin Haas

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

All Works

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5 of 5 papers shown

1.

Ruini, Cristel, Carolin Haas, Sebastian Mastnik, et al.. (2020). Primary Biliary Cirrhosis and Granulomatous Hepatitis After Immune Checkpoint Blockade in Patients With Metastatic Melanoma: Report of 2 Cases and Literature Discussion. Journal of Immunotherapy. 44(2). 71–75. 1 indexed citations

2.

Haas, Carolin, Martina Maywald, Andreas Goetzenich, Christian Stoppe, & Lothar Rink. (2018). Proton-pump inhibitors elevate infection rate in cardiothoracic surgery patients by influencing PMN function in vitro and in vivo. Journal of Leukocyte Biology. 103(4). 777–788. 5 indexed citations

3.

Haas, Carolin & Stefan Riezler. (2016). A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap. 740–750. 12 indexed citations

4.

Haas, Carolin & Stefan Riezler. (2015). Response-based Learning for Machine Translation of Open-domain Database Queries. 1339–1344. 6 indexed citations

5.

Riezler, Stefan, et al.. (2014). Response-based Learning for Grounded Machine Translation. 881–891. 6 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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