Carsten Eickhoff
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Information Retrieval and Search Behavior 47
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- Topic Modeling 19
- Machine Learning in Healthcare 16
- Natural Language Processing Techniques 10
- Explainable Artificial Intelligence (XAI) 8
- Co-authors
- Arjen P. de Vries (25 shared papers)George Zerveas (9 shared papers)Anuradha Bhamidipaty (1 shared paper)Srideepika Jayaraman (1 shared paper)Dhaval J. Patel (1 shared paper)Padmini Srinivasan (3 shared papers)Volkmar Falk (5 shared papers)Alexander Meyer (5 shared papers)
- Journals
- ACM SIGIR Forum (4 papers)npj Digital Medicine (2 papers)Scientific Reports (2 papers)JMIR Medical Education (2 papers)Journal of Medical Internet Research (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Carsten Eickhoff
132 papers receiving 3.1k citations
Carsten Eickhoff's Hit Papers
Peers
Comparison fields: 5 of 156
- Health Informatics 309
- Computer Science Applications 287
- Signal Processing 255
- Information Systems 628
- Artificial Intelligence 714
Countries citing papers authored by Carsten Eickhoff
This map shows the geographic impact of Carsten Eickhoff'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 Carsten Eickhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Eickhoff more than expected).
Fields of papers citing papers by Carsten Eickhoff
This network shows the impact of papers produced by Carsten Eickhoff. 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 Carsten Eickhoff. The network helps show where Carsten Eickhoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Carsten Eickhoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Transformer-based Framework for Multivariate Time Series Representation Learning Hit paper breakdown → | 2021 | 778 |
| 2 | 2018 | 264 | |
| 3 | 2012 | 156 | |
| 4 | 2012 | 133 | |
| 5 | 2014 | 118 | |
| 6 | 2018 | 115 | |
| 7 | 2020 | 106 | |
| 8 | 2016 | 97 | |
| 9 | 2021 | 93 | |
| 10 | 2011 | 71 | |
| 11 | 2024 | 69 | |
| 12 | 2020 | 63 | |
| 13 | 2020 | 62 | |
| 14 | How Crowdsourcable is Your Task | 2011 | 53 |
| 15 | 2023 | 46 | |
| 16 | 2018 | 44 | |
| 17 | 2017 | 40 | |
| 18 | 2015 | 33 | |
| 19 | 2011 | 31 | |
| 20 | 2022 | 30 |
About Carsten Eickhoff
Carsten Eickhoff is a scholar working on Information Systems, Artificial Intelligence, Health Informatics, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 149 papers that have together received 3.3k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (47 papers), Topic Modeling (19 papers), Machine Learning in Healthcare (16 papers), Biomedical Text Mining and Ontologies (10 papers), Natural Language Processing Techniques (10 papers), Artificial Intelligence in Healthcare and Education (9 papers), Mobile Crowdsensing and Crowdsourcing (9 papers) and Explainable Artificial Intelligence (XAI) (8 papers). The work is most often cited by research in Health Informatics (309 citations), Computer Science Applications (287 citations), Signal Processing (255 citations), Information Systems (628 citations) and Artificial Intelligence (714 citations). Carsten Eickhoff has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Arjen P. de Vries, George Zerveas, Anuradha Bhamidipaty, Srideepika Jayaraman, Dhaval J. Patel, Padmini Srinivasan, Volkmar Falk, Alexander Meyer, Christopher G. Harris and Titus Kühne. Their work appears in journals such as ACM SIGIR Forum, npj Digital Medicine, Scientific Reports, JMIR Medical Education and Journal of Medical Internet Research.
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.