Drahomíra Herrmannová

523 total citations
26 papers, 264 citations indexed

About

Drahomíra Herrmannová is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Information Systems. According to data from OpenAlex, Drahomíra Herrmannová has authored 26 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Statistics, Probability and Uncertainty and 7 papers in Information Systems. Recurrent topics in Drahomíra Herrmannová's work include scientometrics and bibliometrics research (10 papers), Online Learning and Analytics (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Drahomíra Herrmannová is often cited by papers focused on scientometrics and bibliometrics research (10 papers), Online Learning and Analytics (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Drahomíra Herrmannová collaborates with scholars based in United States, United Kingdom and Myanmar. Drahomíra Herrmannová's co-authors include Petr Knoth, Jakub Kužílek, Annika Wolff, Zdeněk Zdráhal, Martin Hlosta, Robert M. Patton, Nancy Pontika, Thomas E. Potok, Ramakrishnan Kannan and Hao Lu and has published in prestigious journals such as Scientometrics, Scientific Data and International Journal of Medical Informatics.

In The Last Decade

Drahomíra Herrmannová

22 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Drahomíra Herrmannová United States 8 126 104 45 44 37 26 264
Slavko Žitnik Slovenia 8 22 0.2× 106 1.0× 42 0.9× 7 0.2× 19 0.5× 30 181
Mansoureh Takaffoli Canada 10 73 0.6× 86 0.8× 53 1.2× 46 1.0× 3 0.1× 15 339
Reihaneh Rabbany Canada 11 56 0.4× 90 0.9× 59 1.3× 27 0.6× 2 0.1× 34 290
Emma McCulloch United Kingdom 6 40 0.3× 108 1.0× 145 3.2× 4 0.1× 13 0.4× 16 236
Marieke Guy United Kingdom 6 50 0.4× 129 1.2× 187 4.2× 6 0.1× 6 0.2× 22 330
Srinath Srinivasa India 7 31 0.2× 89 0.9× 59 1.3× 15 0.3× 4 0.1× 60 195
Qintai Hu China 8 122 1.0× 138 1.3× 140 3.1× 61 1.4× 11 307
Yuting Zhao China 9 140 1.1× 138 1.3× 61 1.4× 127 2.9× 31 355
Traugott Koch Sweden 10 37 0.3× 165 1.6× 188 4.2× 8 0.2× 7 0.2× 30 348

Countries citing papers authored by Drahomíra Herrmannová

Since Specialization
Citations

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

Fields of papers citing papers by Drahomíra Herrmannová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Drahomíra Herrmannová

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

All Works

20 of 20 papers shown
1.
Herrmannová, Drahomíra, et al.. (2025). Multimodal convolutional neural networks for the prediction of acute kidney injury in the intensive care. International Journal of Medical Informatics. 196. 105815–105815. 1 indexed citations
2.
Herrmannová, Drahomíra, et al.. (2025). Reproducible generative artificial intelligence evaluation for health care: a clinician-in-the-loop approach. JAMIA Open. 8(3). ooaf054–ooaf054.
3.
Gao, Shang, et al.. (2024). Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation. IEEE Journal of Biomedical and Health Informatics. 28(4). 2247–2258. 1 indexed citations
4.
Herrmannová, Drahomíra, et al.. (2024). Overview of the DagPap24 Shared Task on Detecting Automatically Generated Scientific Paper. 7–11. 1 indexed citations
5.
Knoth, Petr, et al.. (2023). CORE: A Global Aggregation Service for Open Access Papers. Scientific Data. 10(1). 8 indexed citations
6.
De, Debraj, et al.. (2022). Methodology to Compare Twitter Reaction Trends between Disinformation Communities, to COVID related Campaign Events at Different Geospatial Granularities. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 458–463. 1 indexed citations
7.
Herrmannová, Drahomíra, et al.. (2021). A meta-analysis of semantic classification of citations. Quantitative Science Studies. 2(4). 1170–1215. 21 indexed citations
8.
Lim, Seung–Hwan, Junghoon Chae, Guojing Cong, et al.. (2021). Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis. 2021 IEEE International Conference on Big Data (Big Data). 4381–4386. 2 indexed citations
9.
Kannan, Ramakrishnan, Hao Lu, Drahomíra Herrmannová, et al.. (2020). Scalable Knowledge Graph Analytics at 136 Petaflop/s. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–13. 5 indexed citations
10.
Knoth, Petr, et al.. (2019). Aggregating the world's open access research papers. Open Research Online (The Open University). 1 indexed citations
11.
Herrmannová, Drahomíra, et al.. (2018). Do citations and readership identify seminal publications?. Scientometrics. 115(1). 239–262. 16 indexed citations
12.
Patton, Robert M., et al.. (2017). Audience Based View of Publication Impact. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 64–68. 1 indexed citations
13.
Herrmannová, Drahomíra & Petr Knoth. (2016). An Analysis of the Microsoft Academic Graph. D-Lib Magazine. 22(9/10). 36 indexed citations
14.
Herrmannová, Drahomíra & Petr Knoth. (2016). Semantometrics: Towards Fulltext-based Research Evaluation. Open Research Online (The Open University). 1 indexed citations
15.
Herrmannová, Drahomíra & Petr Knoth. (2016). Towards full-text based research metrics: Exploring semantometrics. Open Research Online (The Open University). 3 indexed citations
16.
Herrmannová, Drahomíra & Petr Knoth. (2015). Semantometrics: Fulltext-Based Measures for Analysing Research Collaboration. Open Research Online (The Open University). 1 indexed citations
17.
Herrmannová, Drahomíra & Petr Knoth. (2015). Semantometrics in Coauthorship Networks: Fulltext-based Approach for Analysing Patterns of Research Collaboration. D-Lib Magazine. 21(11/12). 3 indexed citations
18.
Kužílek, Jakub, et al.. (2015). OU Analyse: analysing at-risk students at The Open University. Open Research Online (The Open University). 80 indexed citations
19.
Knoth, Petr & Drahomíra Herrmannová. (2013). Simple yet effective methods for cross-lingual link discovery (CLLD) - KMI @ NTCIR-10 CrossLink-2. Open Research Online (The Open University). 1 indexed citations
20.
Herrmannová, Drahomíra & Petr Knoth. (2012). Visual Search for Supporting Content Exploration in Large Document Collections. D-Lib Magazine. 18(7/8). 10 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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