Maik Fröbe
- Artificial Intelligence top 10%
- Information Systems
- Sociology and Political Science
- Management Science and Operations Research
- Computer Vision and Pattern Recognition
- Co-authors
- Matthias HagenMartin PotthastBenno SteinJanek BevendorffMichael VölskeTim GollubNiklas DeckersSean MacAvaney
- Topics
- Topic Modeling (19 papers)Natural Language Processing Techniques (9 papers)Information Retrieval and Search Behavior (8 papers)
- Journals
- ACM SIGIR ForumArXiv.orgENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Maik Fröbe
23 papers receiving 111 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 96
- Information Systems 34
- Sociology and Political Science 23
- Management Science and Operations Research 10
- Computer Vision and Pattern Recognition 8
Countries citing papers authored by Maik Fröbe
This map shows the geographic impact of Maik Fröbe'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 Maik Fröbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maik Fröbe more than expected).
Fields of papers citing papers by Maik Fröbe
This network shows the impact of papers produced by Maik Fröbe. 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 Maik Fröbe. The network helps show where Maik Fröbe may publish in the future.
Co-authorship network of co-authors of Maik Fröbe
This figure shows the co-authorship network connecting the top 25 collaborators of Maik Fröbe. A scholar is included among the top collaborators of Maik Fröbe 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 Maik Fröbe. Maik Fröbe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 15 | |
| 18 | 25 | |
| 19 | 0 | |
| 20 | Webis at TREC 2019: Decision Track. | 1 |
About Maik Fröbe
Maik Fröbe is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 28 papers that have together received 114 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (9 papers) and Information Retrieval and Search Behavior (8 papers). The work is most often cited by research in Artificial Intelligence (96 citations), Information Systems (34 citations) and Computer Science Applications (8 citations). Maik Fröbe has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Matthias Hagen, Martin Potthast, Benno Stein, Janek Bevendorff, Michael Völske, Tim Gollub, Niklas Deckers, Sean MacAvaney, Shuai Wang and Alexander Panchenko. Their work appears in journals such as ACM SIGIR Forum, ArXiv.org and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).
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.