Daniel Schober

2.8k total citations
33 papers, 772 citations indexed

About

Daniel Schober is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Daniel Schober has authored 33 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 23 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Daniel Schober's work include Biomedical Text Mining and Ontologies (24 papers), Semantic Web and Ontologies (23 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Daniel Schober is often cited by papers focused on Biomedical Text Mining and Ontologies (24 papers), Semantic Web and Ontologies (23 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Daniel Schober collaborates with scholars based in Germany, United Kingdom and United States. Daniel Schober's co-authors include Barry Smith, Werner Ceusters, Susanna‐Assunta Sansone, Philippe Rocca‐Serra, Mélanie Courtot, Alan Ruttenberg, Ryan R. Brinkman, James Malone, F. Gibson and Allyson Lister and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Daniel Schober

32 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Schober Germany	15	579	360	139	104	57	33	772
Frank W. Hartel United States	11	629 1.1×	500 1.4×	103 0.7×	108 1.0×	10 0.2×	15	857
Paul R. Alexander United States	7	467 0.8×	354 1.0×	76 0.5×	58 0.6×	8 0.1×	8	662
Sarala Wimalaratne United Kingdom	13	609 1.1×	131 0.4×	71 0.5×	124 1.2×	11 0.2×	24	766
Martin Romacker Germany	20	609 1.1×	624 1.7×	119 0.9×	78 0.8×	6 0.1×	42	890
Peter A. Covitz United States	13	529 0.9×	174 0.5×	75 0.5×	219 2.1×	8 0.1×	15	810
Ralf Hofestädt Germany	14	536 0.9×	82 0.2×	43 0.3×	61 0.6×	12 0.2×	98	799
Paolo Romano Italy	16	398 0.7×	60 0.2×	45 0.3×	107 1.0×	61 1.1×	65	796
Tianyi Zang China	14	610 1.1×	120 0.3×	48 0.3×	20 0.2×	12 0.2×	65	916
Csongor Nyulas United States	13	517 0.9×	519 1.4×	182 1.3×	56 0.5×	4 0.1×	30	864
Camille Laibe United Kingdom	14	1.2k 2.0×	135 0.4×	65 0.5×	192 1.8×	18 0.3×	20	1.5k

Countries citing papers authored by Daniel Schober

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Schober

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schober

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

All Works

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20 of 20 papers shown

Schober, Daniel, et al.. (2025). Vision-based robot manipulation of transparent liquid containers in a laboratory setting. 1193–1200.

Kühn, Stefan, Lianne H. E. Wieske, Daniel Schober, et al.. (2021). NMReDATA: Tools and applications. Magnetic Resonance in Chemistry. 59(8). 792–803. 18 indexed citations

Ashrafian, Hutan, Viknesh Sounderajah, Robert C. Glen, et al.. (2020). Metabolomics: The Stethoscope for the Twenty-First Century. Medical Principles and Practice. 30(4). 301–310. 52 indexed citations

Goble, Carole, Sarah Cohen‐Boulakia, Stian Soiland‐Reyes, et al.. (2019). FAIR Computational Workflows. Data Intelligence. 2(1-2). 108–121. 90 indexed citations

Schober, Daniel, Rémy Choquet, Frank Enders, et al.. (2014). DebugIT: Ontology-mediated Layered Data Integration for Real-time Antibiotics Resistance Surveillance.. Archive ouverte UNIGE (University of Geneva). 3 indexed citations

Boeker, Martin, et al.. (2013). Measuring the Effect of a Guideline-based Training on Ontology Design with a Competency Questions based Evaluation Approach. GI-Jahrestagung. 1783–1795. 1 indexed citations

Boeker, Martin, et al.. (2013). Effects of Guideline-Based Training on the Quality of Formal Ontologies: A Randomized Controlled Trial. PLoS ONE. 8(5). e61425–e61425. 6 indexed citations

Boeker, Martin, et al.. (2012). Teaching Good Biomedical Ontology Design. 10 indexed citations

Schober, Daniel, Vojtěch Svátek, & Martin Boeker. (2012). Checking Class Labels against Naming Conventions: First experiences with the OntoCheck Protégé plugin.. 3 indexed citations

10.

Jansen, Ludger, et al.. (2012). Proposed actions are no actions: re-modeling an ontology design pattern with a realist top-level ontology. Journal of Biomedical Semantics. 3(Suppl 2). S2–S2. 8 indexed citations

11.

Schober, Daniel, Ilinca Tudose, Vojtěch Svátek, & Martin Boeker. (2012). OntoCheck: verifying ontology naming conventions and metadata completeness in Protégé 4. Journal of Biomedical Semantics. 3(Suppl 2). S4–S4. 14 indexed citations

12.

Boeker, Martin, Janna Hastings, Daniel Schober, & Stefan Schulz. (2011). A T-Box Generator for Testing Scalability of OWL Mereotopological Patterns.. 2 indexed citations

13.

Courtot, Mélanie, F. Gibson, Allyson Lister, et al.. (2011). MIREOT: The minimum information to reference an external ontology term. Applied Ontology. 6(1). 23–33. 104 indexed citations

14.

Boeker, Martin, Ilinca Tudose, Janna Hastings, Daniel Schober, & Stefan Schulz. (2011). Unintended consequences of existential quantifications in biomedical ontologies. BMC Bioinformatics. 12(1). 456–456. 8 indexed citations

15.

Schober, Daniel, Martin Boeker, Stefan Schulz, & Ilinca Tudose. (2010). Developing DCO: The DebugIT core ontology for antibiotics resistence modelling.. 1 indexed citations

16.

Schober, Daniel, et al.. (2010). The DebugIT Core Ontology: semantic integration of antibiotics resistance patterns. Studies in health technology and informatics. 160(Pt 2). 1060–4. 23 indexed citations

17.

Schulz, Stefan, Daniel Schober, Ilinca Tudose, & Holger Stenzhorn. (2010). The Pitfalls of Thesaurus Ontologization - the Case of the NCI Thesaurus.. PubMed. 2010. 727–31. 21 indexed citations

18.

Schober, Daniel, Barry Smith, Suzanna Lewis, et al.. (2009). Survey-based naming conventions for use in OBO Foundry ontology development. BMC Bioinformatics. 10(1). 125–125. 56 indexed citations

19.

Courtot, Mélanie, William Bug, F. Gibson, et al.. (2008). The OWL of Biomedical Investigations.. 18 indexed citations

20.

Spasić, ‪Irena, Daniel Schober, Susanna‐Assunta Sansone, et al.. (2008). Facilitating the development of controlled vocabularies for metabolomics technologies with text mining. BMC Bioinformatics. 9(S5). S5–S5. 30 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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