Maik Fröbe - Concepedia

Author

Maik Fröbe

Bauhaus-Universität Weimar ORCID

Also Known As

Fr\"obe, Maik, Fröbe, Maik, Maik Fröbe, Stein, Benno, Yang Zhang

133

Publications

590

Citations

H-Index

Concepts

All Affiliations

Bauhaus-Universität Weimar Leipzig University Martin Luther University Halle-Wittenberg Friedrich Schiller University Jena

About

Maik Fröbe is an author at Bauhaus-Universität Weimar specializing in information retrieval, engineering, and text mining.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	68
2	Arts	3	3	59
3	Communication	2	2	44
4	Education	1	1	27
5	Social Sciences	1	1	17

Maik Fröbe

Publications

243

Citations

H-Index

Page 1

	Year	Citations
The Information Retrieval Experiment Platform Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney,	2023	48
Evaluating Generative Ad Hoc Information Retrieval Lukas Gienapp, Harrisen Scells, Niklas Deckers,	2024	34
Clickbait Spoiling via Question Answering and Passage Retrieval Matthias Hagen, Maik Fröbe, Artur Jurk, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)	2022	29
The Infinite Index: Information Retrieval on Generative Text-To-Image Models Niklas Deckers, Maik Fröbe, Johannes Kiesel,	2023	27
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education Christine Bauer, Ben Carterette, Nicola Ferro, ACM SIGIR Forum Information LiteracyInformation RetrievalCollaborative Information RetrievalOnline ExperimentKnowledge Retrieval	2023	27
CopyCat: Near-Duplicates Within and Between the ClueWeb and the Common Crawl Maik Fröbe, Janek Bevendorff, Lukas Gienapp, Search Engine OptimizationEngineeringData DeduplicationSemantic WebInformation Retrieval	2021	19
Comparative Web Search Questions Alexander Bondarenko, Pavel Braslavski, Michael Völske, Search Engine OptimizationEngineeringComparative TestSemantic WebCorpus Linguistics	2020	17
SemEval-2023 Task 5: Clickbait Spoiling Maik Fröbe, Benno Stein, Tim Gollub, Social Media UsersEngineeringCommunicationSemeval-2023 Task 5Media Studies	2023	17
Sampling Bias Due to Near-Duplicates in Learning to Rank Maik Fröbe, Janek Bevendorff, Jan Heinrich Reimer, Ranking AlgorithmEngineeringMachine LearningIntelligent Information RetrievalLearning To Rank	2020	15
The Impact of Negative Relevance Judgments on NDCG Lukas Gienapp, Maik Fröbe, Matthias Hagen,	2020	10

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