Daniel Dahlmeier

3.8k total citations
31 papers, 1.9k citations indexed

About

Daniel Dahlmeier is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Daniel Dahlmeier has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Daniel Dahlmeier's work include Topic Modeling (24 papers), Natural Language Processing Techniques (18 papers) and Sentiment Analysis and Opinion Mining (8 papers). Daniel Dahlmeier is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (18 papers) and Sentiment Analysis and Opinion Mining (8 papers). Daniel Dahlmeier collaborates with scholars based in Singapore, United Kingdom and Germany. Daniel Dahlmeier's co-authors include Hwee Tou Ng, Wenya Wang, Sinno Jialin Pan, Xiaokui Xiao, Ruidan He, Siew Mei Wu, Wee Sun Lee, Wee Sun Lee, Chang Liu and Shuhao Zhang and has published in prestigious journals such as Bioinformatics, Artificial Intelligence and International Journal of Machine Learning and Computing.

In The Last Decade

Daniel Dahlmeier

31 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Dahlmeier Singapore	19	1.8k	209	92	66	59	31	1.9k
David Ahn United States	11	676 0.4×	193 0.9×	52 0.6×	39 0.6×	39 0.7×	15	814
Clare R. Voss United States	18	1.2k 0.7×	311 1.5×	145 1.6×	54 0.8×	49 0.8×	76	1.4k
Saša Petrović United Kingdom	11	539 0.3×	262 1.3×	75 0.8×	96 1.5×	99 1.7×	17	818
Urvashi Khandelwal United States	7	839 0.5×	577 2.8×	133 1.4×	28 0.4×	110 1.9×	7	1.0k
Hiroya Takamura Japan	17	1.1k 0.6×	175 0.8×	135 1.5×	58 0.9×	18 0.3×	131	1.2k
Aria Haghighi United States	21	1.8k 1.0×	236 1.1×	154 1.7×	25 0.4×	50 0.8×	34	1.9k
Shoushan Li China	26	2.1k 1.1×	333 1.6×	148 1.6×	88 1.3×	22 0.4×	99	2.2k
Cícero dos Santos Brazil	9	1.8k 1.0×	343 1.6×	211 2.3×	67 1.0×	43 0.7×	11	1.9k
Chunyu Kit Hong Kong	17	879 0.5×	142 0.7×	115 1.3×	43 0.7×	12 0.2×	73	1.0k
Marina Danilevsky United States	13	547 0.3×	143 0.7×	75 0.8×	20 0.3×	46 0.8×	38	722

Countries citing papers authored by Daniel Dahlmeier

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Dahlmeier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Dahlmeier

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Dahlmeier. A scholar is included among the top collaborators of Daniel Dahlmeier 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 Daniel Dahlmeier. Daniel Dahlmeier 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.

Dahlmeier, Daniel, et al.. (2023). WAMP: Writing, Annotation, and Marking Platform. 77–85. 1 indexed citations

2.

He, Ruidan, Wee Sun Lee, Hwee Tou Ng, & Daniel Dahlmeier. (2018). Effective Attention Modeling for Aspect-Level Sentiment Classification. International Conference on Computational Linguistics. 1121–1131. 94 indexed citations

3.

Wang, Wenya, Sinno Jialin Pan, & Daniel Dahlmeier. (2018). Memory networks for fine-grained opinion mining. Artificial Intelligence. 265. 1–17. 16 indexed citations

4.

He, Ruidan, Wee Sun Lee, Hwee Tou Ng, & Daniel Dahlmeier. (2018). Exploiting Document Knowledge for Aspect-level Sentiment Classification. 579–585. 144 indexed citations

5.

Zhang, Shuhao, et al.. (2017). Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors. 659–670. 26 indexed citations

6.

He, Ruidan, Wee Sun Lee, Hwee Tou Ng, & Daniel Dahlmeier. (2017). An Unsupervised Neural Attention Model for Aspect Extraction. 388–397. 236 indexed citations

7.

Dahlmeier, Daniel. (2017). On the Challenges of Translating NLP Research into Commercial Products. 92–96. 7 indexed citations

8.

Wang, Wenya, Sinno Jialin Pan, Daniel Dahlmeier, & Xiaokui Xiao. (2016). Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. 616–626. 260 indexed citations

9.

Ni, Peng, et al.. (2015). DEPART: Dynamic Route Planning in Stochastic Time-Dependent Public Transit Networks. 1672–1677. 6 indexed citations

10.

Dahlmeier, Daniel. (2014). Learning the Peculiar Value of Actions. 63–68. 1 indexed citations

11.

Yi, Song, Daniel Dahlmeier, & Stéphane Bressan. (2014). Not So Unique in the Crowd: a Simple and Effective Algorithm for Anonymizing Location Data.. 19–24. 24 indexed citations

12.

Dahlmeier, Daniel, Hwee Tou Ng, & Siew Mei Wu. (2013). Building a Large Annotated Corpus of Learner English: The NUS Corpus of Learner English. 22–31. 232 indexed citations

13.

Dahlmeier, Daniel, et al.. (2012). NUS at the HOO 2012 Shared Task. 216–224. 18 indexed citations

14.

Dahlmeier, Daniel & Hwee Tou Ng. (2012). A Beam-Search Decoder for Grammatical Error Correction. National University of Singapore. 568–578. 52 indexed citations

15.

Dahlmeier, Daniel & Hwee Tou Ng. (2012). Better Evaluation for Grammatical Error Correction. 568–572. 213 indexed citations

16.

Dahlmeier, Daniel & Hwee Tou Ng. (2011). Grammatical Error Correction with Alternating Structure Optimization. National University of Singapore. 915–923. 61 indexed citations

17.

Dahlmeier, Daniel & Hwee Tou Ng. (2011). Correcting Semantic Collocation Errors with L1-induced Paraphrases. National University of Singapore. 107–117. 41 indexed citations

18.

Liu, Chang, Daniel Dahlmeier, & Hwee Tou Ng. (2010). PEM: A Paraphrase Evaluation Metric Exploiting Parallel Texts. National University of Singapore. 923–932. 20 indexed citations

19.

Kerschbaum, Florian, et al.. (2009). On the practical importance of communication complexity for secure multi-party computation protocols. 2008–2015. 18 indexed citations

20.

Dahlmeier, Daniel. (2008). Investigations into the Use of Preposition Sense in Semantic Argument Classification. Repository KITopen (Karlsruhe Institute of Technology). 1 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