Martin Riedl
- Artificial Intelligence top 2%
- Communication top 2%
- Sociology and Political Science top 5%
- Molecular Biology
- Information Systems top 10%
- Co-authors
- Chris BiemannSamuel WoolleyDanielle K. BrownGina Masullo ChenMatthew LeaseJosephine LukitoKyser LoughSeid Muhie Yimam
- Topics
- Topic Modeling (29 papers)Natural Language Processing Techniques (28 papers)Social Media and Politics (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorClinical Chemistry
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Martin Riedl
78 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 574
- Communication 295
- Sociology and Political Science 281
- Molecular Biology 76
- Information Systems 76
Countries citing papers authored by Martin Riedl
This map shows the geographic impact of Martin Riedl'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 Martin Riedl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Riedl more than expected).
Fields of papers citing papers by Martin Riedl
This network shows the impact of papers produced by Martin Riedl. 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 Martin Riedl. The network helps show where Martin Riedl may publish in the future.
Co-authorship network of co-authors of Martin Riedl
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Riedl. A scholar is included among the top collaborators of Martin Riedl 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 Martin Riedl. Martin Riedl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 31 | |
| 3 | 7 | |
| 4 | 31 | |
| 5 | 13 | |
| 6 | 9 | |
| 7 | 22 | |
| 8 | 43 | |
| 9 | CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups | 26 |
| 10 | 21 | |
| 11 | Noun Sense Induction and Disambiguation using Graph-Based Distributional Semantics. | 4 |
| 12 | Distributional Semantics for Resolving Bridging Mentions | 3 |
| 13 | DISTRIBUTED DISTRIBUTIONAL SIMILARITIES OF GOOGLE BOOKS OVER THE CENTURIES | 5 |
| 14 | Combining Supervised and Unsupervised Parsing for Distributional Similarity | 1 |
| 15 | 4 | |
| 16 | Exploring Cities in Crime: Significant Concordance and Co-occurrence in Quantitative Literary Analysis | 2 |
| 17 | 12 | |
| 18 | TopicTiling: A Text Segmentation Algorithm based on LDA | 77 |
| 19 | How Text Segmentation Algorithms Gain from Topic Models | 16 |
| 20 | 11 |
About Martin Riedl
Martin Riedl is a scholar working on Communication, Artificial Intelligence and Gender Studies, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Natural Language Processing Techniques (28 papers) and Social Media and Politics (26 papers). The work is most often cited by research in Communication (295 citations), Artificial Intelligence (574 citations) and Cultural Studies (56 citations). Martin Riedl has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Chris Biemann, Samuel Woolley, Danielle K. Brown, Gina Masullo Chen, Matthew Lease, Josephine Lukito, Kyser Lough, Seid Muhie Yimam, Pawan Goyal and Sebastian Padó. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Clinical Chemistry.
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.