Daniel Duma

1.4k total citations · 1 hit paper
13 papers, 800 citations indexed

About

Daniel Duma is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems and Management. According to data from OpenAlex, Daniel Duma has authored 13 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Information Systems and Management. Recurrent topics in Daniel Duma's work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (3 papers). Daniel Duma is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (3 papers). Daniel Duma collaborates with scholars based in United Kingdom, Switzerland and Ireland. Daniel Duma's co-authors include Ewan Klein, Maria Liakata, Amanda Clare, Carmen Mihaela Mihu, Benjamin Rosman, Andrei Lebovici, Richard Tobin, Heather C. Whalley, Hang Dong and Víctor Suárez-Paniagua and has published in prestigious journals such as PLoS ONE, Diagnostics and D-Lib Magazine.

In The Last Decade

Daniel Duma

13 papers receiving 770 citations

Hit Papers

Proceedings of the Tenth International Conference on Lang... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Duma United Kingdom 9 494 103 80 66 60 13 800
Richard Tobin United Kingdom 20 653 1.3× 191 1.9× 51 0.6× 71 1.1× 57 0.9× 51 1.2k
Maciej Piasecki Poland 15 796 1.6× 98 1.0× 74 0.9× 50 0.8× 150 2.5× 115 1.1k
Cengiz Acartürk Türkiye 11 123 0.2× 153 1.5× 70 0.9× 37 0.6× 14 0.2× 56 650
Pawan Goyal India 19 942 1.9× 205 2.0× 222 2.8× 71 1.1× 20 0.3× 119 1.4k
Barbara Plank Denmark 26 1.9k 3.7× 235 2.3× 149 1.9× 352 5.3× 74 1.2× 145 2.2k
Udo Kruschwitz United Kingdom 16 722 1.5× 225 2.2× 120 1.5× 90 1.4× 28 0.5× 108 960
Beata Beigman Klebanov United States 19 737 1.5× 116 1.1× 32 0.4× 44 0.7× 56 0.9× 81 1.0k
Rebecca Bruce United States 15 1.3k 2.6× 223 2.2× 83 1.0× 45 0.7× 58 1.0× 43 1.5k
Matthew Honnibal Australia 9 562 1.1× 93 0.9× 37 0.5× 55 0.8× 20 0.3× 19 694
Karën Fort France 8 263 0.5× 100 1.0× 75 0.9× 74 1.1× 16 0.3× 31 605

Countries citing papers authored by Daniel Duma

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Duma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Duma

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

All Works

13 of 13 papers shown
1.
Davidson, Emma, Michael T. C. Poon, Daniel Duma, et al.. (2021). The reporting quality of natural language processing studies: systematic review of studies of radiology reports. BMC Medical Imaging. 21(1). 142–142. 24 indexed citations
2.
Mihu, Carmen Mihaela, et al.. (2021). Ultrasonography in the Diagnosis of Adnexal Lesions: The Role of Texture Analysis. Diagnostics. 11(5). 812–812. 24 indexed citations
3.
Duma, Daniel, et al.. (2021). Taking histories: joint working of disciplines in medical history scholarship. Irish Journal of Medical Science (1971 -). 190(4). 1533–1535. 2 indexed citations
4.
Rosman, Benjamin, et al.. (2018). Implementation of A Neural Natural Language Understanding Component for Arabic Dialogue Systems. Procedia Computer Science. 142. 222–229. 13 indexed citations
5.
Liakata, Maria, et al.. (2017). Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements. PLoS ONE. 12(3). e0173152–e0173152. 120 indexed citations
6.
Duma, Daniel, Charles Sutton, & Ewan Klein. (2016). Context Matters. Edinburgh Research Explorer. 201–202. 1 indexed citations
7.
Duma, Daniel, et al.. (2016). Applying core scientific concepts to context-based citation recommendation. Edinburgh Research Explorer (University of Edinburgh). 1737–1742. 7 indexed citations
9.
Duma, Daniel, et al.. (2016). Rhetorical Classification of Anchor Text for Citation Recommendation. D-Lib Magazine. 22(9/10). 8 indexed citations
10.
Duma, Daniel & Ewan Klein. (2014). Citation Resolution: A method for evaluating context-based citation recommendation systems. Edinburgh Research Explorer. 358–363. 14 indexed citations
11.
Duma, Daniel & Ewan Klein. (2013). Generating Natural Language from Linked Data. 2 indexed citations
12.
Duma, Daniel & Ewan Klein. (2013). Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) -- Long Papers. 44 indexed citations
13.
Duma, Daniel & Ewan Klein. (2013). Generating Natural Language from Linked Data: Unsupervised template extraction. Edinburgh Research Explorer (University of Edinburgh). 83–94. 24 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.

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