Daniel Duma

1.4k citations
14 papers · 932 · 1 hit paper · h-index 9

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Speech and dialogue systems

Papers in

    • Topic Modeling 6
    • Natural Language Processing Techniques 5
    • Semantic Web and Ontologies 3
    • Advanced Text Analysis Techniques 2
    • Sentiment Analysis and Opinion Mining 1
    • Biomedical Text Mining and Ontologies 2

Daniel Duma

14 papers receiving 900 citations

Daniel Duma's Hit Papers

Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC-2016) 2016 · 524 citations
5240+3+6Years since publication100200300400500

Peers

Daniel Duma
Comparison fields: 5 of 122
  • Health Informatics 38
  • Artificial Intelligence 522
  • Statistics, Probability and Uncertainty 49
  • Communication 47
  • Language and Linguistics 60
Replace Richard Tobin with:
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Pawan Goyal India
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Lyn Pemberton United Kingdom
Udo Kruschwitz United Kingdom
Claire Grover United Kingdom
Anna Rumshisky United States
Maciej Piasecki Poland
Tolga Bolukbasi United States
Daniel Duma relative to Richard Tobin United Kingdom Richard Tobin's profile →
Citations per field
00.5×3.8×
Richard Tobin · 1×
Citations per year

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-authors

The 20 scholars most cited alongside Daniel Duma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Duma Line = papers co-authored together Daniel Duma links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC-2016)
Hit paper breakdown →
2016524
2 2017123
3
2021119
4
Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) -- Long Papers
201344
5 202126
6 202125
7
Generating Natural Language from Linked Data: Unsupervised template extraction
201324
8 201414
9 201813
10 20168
11 20167
12
Generating Natural Language from Linked Data
20132
13 20212
14 20161

About Daniel Duma

Daniel Duma is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems and Management, Dermatology and Information Systems, having authored 14 papers that have together received 932 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Semantic Web and Ontologies (3 papers), Advanced Text Analysis Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Endometrial and Cervical Cancer Treatments (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Health Informatics (38 citations), Artificial Intelligence (522 citations), Statistics, Probability and Uncertainty (49 citations), Communication (47 citations) and Language and Linguistics (60 citations). Daniel Duma has collaborated with scholars based in United Kingdom, Switzerland and Ireland. Frequent co-authors include Ewan Klein, Maria Liakata, Amanda Clare, Michael T. C. Poon, Beatrice Alex, Claire Grover, Hang Dong, Emma Davidson, William Whiteley and Honghan Wu. Their work appears in journals such as PLoS ONE, D-Lib Magazine, Diagnostics, Irish Journal of Medical Science (1971 -) and BMC Medical Imaging.

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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