Johannes Kiesel
- Artificial Intelligence top 2%
- Sociology and Political Science top 5%
- Information Systems top 2%
- Signal Processing top 10%
- Communication top 10%
- Co-authors
- Benno SteinMartin PotthastJanek BevendorffHenning WachsmuthMatthias HagenRishabh ShuklaDavid CorneyEmmanuel Vincent
- Topics
- Topic Modeling (14 papers)Natural Language Processing Techniques (11 papers)Web Data Mining and Analysis (7 papers)
- Journals
- ACM Transactions on Information SystemsACM SIGIR ForumJournal of Data and Information Quality
- Partner nations
- GermanyAustraliaNetherlands
In The Last Decade
Johannes Kiesel
32 papers receiving 781 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 572
- Sociology and Political Science 456
- Information Systems 379
- Signal Processing 80
- Communication 62
Countries citing papers authored by Johannes Kiesel
This map shows the geographic impact of Johannes Kiesel'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 Johannes Kiesel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Kiesel more than expected).
Fields of papers citing papers by Johannes Kiesel
This network shows the impact of papers produced by Johannes Kiesel. 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 Johannes Kiesel. The network helps show where Johannes Kiesel may publish in the future.
Co-authorship network of co-authors of Johannes Kiesel
This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Kiesel. A scholar is included among the top collaborators of Johannes Kiesel 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 Johannes Kiesel. Johannes Kiesel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 23 | |
| 13 | 7 | |
| 14 | 131 | |
| 15 | 2 | |
| 16 | A Stylometric Inquiry into Hyperpartisan and Fake Newsbreakdown → | 417 |
| 17 | 29 | |
| 18 | A News Editorial Corpus for Mining Argumentation Strategies | 51 |
| 19 | Webis at TREC 2016: Tasks, Total Recall, and Open Search Tracks. | 1 |
| 20 | 18 |
About Johannes Kiesel
Johannes Kiesel is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications, having authored 36 papers that have together received 821 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers) and Web Data Mining and Analysis (7 papers). The work is most often cited by research in Artificial Intelligence (572 citations), Information Systems (379 citations) and Sociology and Political Science (456 citations). Johannes Kiesel has collaborated with scholars based in Germany, Australia and Netherlands. Frequent co-authors include Benno Stein, Martin Potthast, Janek Bevendorff, Henning Wachsmuth, Matthias Hagen, Rishabh Shukla, David Corney, Emmanuel Vincent, Khalid Al‐Khatib and Wei-Fan Chen. Their work appears in journals such as ACM Transactions on Information Systems, ACM SIGIR Forum and Journal of Data and Information Quality.
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.