Markus Dreyer

953 total citations
28 papers, 537 citations indexed

About

Markus Dreyer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Markus Dreyer has authored 28 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Markus Dreyer's work include Topic Modeling (27 papers), Natural Language Processing Techniques (26 papers) and Advanced Text Analysis Techniques (8 papers). Markus Dreyer is often cited by papers focused on Topic Modeling (27 papers), Natural Language Processing Techniques (26 papers) and Advanced Text Analysis Techniques (8 papers). Markus Dreyer collaborates with scholars based in United States, Germany and United Kingdom. Markus Dreyer's co-authors include Jason Eisner, Jason Smith, Daniel Marcu, Mohit Bansal, Sanjeev Khudanpur, Lambert Mathias, Björn Hoffmeister, Mengwen Liu, Damianos Karakos and Ariya Rastrow and has published in prestigious journals such as Maryland Shared Open Access Repository (USMAI Consortium) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Markus Dreyer

26 papers receiving 458 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Markus Dreyer United States	15	523	62	45	22	21	28	537
Oren Melamud Israel	8	410 0.8×	44 0.7×	42 0.9×	26 1.2×	17 0.8×	14	458
Shyam Upadhyay United States	12	587 1.1×	151 2.4×	51 1.1×	16 0.7×	34 1.6×	27	608
Okan Kolak United States	9	416 0.8×	99 1.6×	74 1.6×	12 0.5×	9 0.4×	11	479
Ryohei Sasano Japan	11	282 0.5×	48 0.8×	42 0.9×	11 0.5×	11 0.5×	50	320
Dan Garrette United States	11	468 0.9×	115 1.9×	41 0.9×	12 0.5×	7 0.3×	23	507
Tim Vieira United States	8	229 0.4×	34 0.5×	39 0.9×	8 0.4×	9 0.4×	20	263
Canasai Kruengkrai Japan	10	435 0.8×	63 1.0×	62 1.4×	27 1.2×	37 1.8×	28	454
Alexandre Passos United States	5	425 0.8×	45 0.7×	30 0.7×	34 1.5×	16 0.8×	12	455
Sam Thomson United States	9	592 1.1×	102 1.6×	45 1.0×	49 2.2×	9 0.4×	19	621
Jayant Krishnamurthy United States	9	434 0.8×	161 2.6×	42 0.9×	20 0.9×	36 1.7×	17	471

Countries citing papers authored by Markus Dreyer

Since Specialization

Citations

This map shows the geographic impact of Markus Dreyer'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 Markus Dreyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Dreyer more than expected).

Fields of papers citing papers by Markus Dreyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Dreyer. 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 Markus Dreyer. The network helps show where Markus Dreyer may publish in the future.

Co-authorship network of co-authors of Markus Dreyer

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Dreyer. A scholar is included among the top collaborators of Markus Dreyer 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 Markus Dreyer. Markus Dreyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ribeiro, Leonardo Costa, et al.. (2024). REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. 13773–13786. 3 indexed citations

2.

Dreyer, Markus, et al.. (2024). CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization. 7306–7336. 2 indexed citations

3.

Wan, David, Mengwen Liu, Kathleen McKeown, Markus Dreyer, & Mohit Bansal. (2023). Faithfulness-Aware Decoding Strategies for Abstractive Summarization. 2864–2880. 15 indexed citations

4.

Zhang, Zixuan, Heba Elfardy, Markus Dreyer, et al.. (2023). Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. 1696–1707. 5 indexed citations

5.

Dreyer, Markus, et al.. (2023). Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. 2089–2105. 7 indexed citations

6.

Small, Kevin, et al.. (2023). Background Summarization of Event Timelines. 8111–8136.

7.

Ribeiro, Leonardo Costa, Mohit Bansal, & Markus Dreyer. (2023). Generating Summaries with Controllable Readability Levels. 11669–11687. 2 indexed citations

8.

Pasunuru, Ramakanth, Mengwen Liu, Mohit Bansal, Sujith Ravi, & Markus Dreyer. (2021). Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. 4768–4779. 35 indexed citations

9.

Liu, Can, et al.. (2021). Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization. 33–38.

10.

Ladhak, Faisal, Ankur Gandhe, Markus Dreyer, et al.. (2016). LatticeRnn: Recurrent Neural Networks Over Lattices. 695–699. 38 indexed citations

11.

Dreyer, Markus & Yuanzhe Dong. (2015). APRO: All-Pairs Ranking Optimization for MT Tuning. 1018–1023. 5 indexed citations

12.

Eisner, Jason & Markus Dreyer. (2011). A non-parametric model for the discovery of inflectional paradigms from plain text using graphical models over strings. 13 indexed citations

13.

Dreyer, Markus & Jason Eisner. (2009). Graphical models over multiple strings. 1. 101–101. 29 indexed citations

14.

McNamee, Paul, Mark Dredze, Adam Gerber, et al.. (2009). HLTCOE Approaches to Knowledge Base Population at TAC 2009. Maryland Shared Open Access Repository (USMAI Consortium). 25 indexed citations

15.

Dreyer, Markus, Jason Smith, & Jason Eisner. (2008). Latent-variable modeling of string transductions with finite-state methods. 1080–1080. 62 indexed citations

16.

Karakos, Damianos, Jason Eisner, Sanjeev Khudanpur, & Markus Dreyer. (2008). Machine translation system combination using ITG-based alignments. 81–81. 38 indexed citations

17.

Dreyer, Markus & Izhak Shafran. (2007). Exploiting prosody for PCFGs with latent annotations. 450–453. 9 indexed citations

18.

Dreyer, Markus, David A. Smith, & Noah A. Smith. (2006). Vine parsing and minimum risk reranking for speed and precision. 201–201. 21 indexed citations

19.

Dreyer, Markus & Jason Eisner. (2006). Better informed training of latent syntactic features. 317–317. 19 indexed citations

20.

Burbank, Andrea, Marine Carpuat, Stephen Clark, et al.. (2005). Final Report of the 2005 Language Engineering Workshop on Statistical Machine Translation by Parsing. 11 indexed citations

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.

Explore authors with similar magnitude of impact