Daniel Schlegel

1.2k total citations · 1 hit paper
36 papers, 763 citations indexed

About

Daniel Schlegel is a scholar working on Artificial Intelligence, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Daniel Schlegel has authored 36 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Mechanical Engineering and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Daniel Schlegel's work include Semantic Web and Ontologies (8 papers), Logic, Reasoning, and Knowledge (4 papers) and Advanced Welding Techniques Analysis (4 papers). Daniel Schlegel is often cited by papers focused on Semantic Web and Ontologies (8 papers), Logic, Reasoning, and Knowledge (4 papers) and Advanced Welding Techniques Analysis (4 papers). Daniel Schlegel collaborates with scholars based in United States, France and Romania. Daniel Schlegel's co-authors include Craig Upson, David H. Laidlaw, Robert F. Gurwitz, Andries van Dam, Grégoire Ficheur, Stuart C. Shapiro, Peter L. Elkin, Rakesh Nagi, C. Langlade and Leslie J. Bisson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemistry - A European Journal and Journal of Medical Internet Research.

In The Last Decade

Daniel Schlegel

33 papers receiving 684 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The application visualization system: a computational environment for scientific visualization

1989 568 citations Craig Upson, David H. Laidlaw et al. IEEE Computer Graphics and Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Schlegel United States	9	309	200	179	131	121	36	763
Shusen Liu United States	15	366 1.2×	53 0.3×	34 0.2×	27 0.2×	335 2.8×	37	1.0k
Gleb Gusev Russia	14	188 0.6×	34 0.2×	39 0.2×	17 0.1×	163 1.3×	54	639
Peter M. Dew United Kingdom	13	83 0.3×	37 0.2×	105 0.6×	30 0.2×	42 0.3×	78	573
Jong Youl Choi United States	13	63 0.2×	14 0.1×	343 1.9×	91 0.7×	186 1.5×	67	644
Jason Lee United States	15	128 0.4×	14 0.1×	667 3.7×	102 0.8×	411 3.4×	35	1.0k
Achim Streit Germany	15	84 0.3×	10 0.1×	654 3.7×	185 1.4×	189 1.6×	110	1.1k
Yifan Sun United States	16	210 0.7×	12 0.1×	327 1.8×	15 0.1×	162 1.3×	78	807
Jun Yuan China	15	386 1.2×	13 0.1×	51 0.3×	16 0.1×	267 2.2×	36	770
Mohammad Zubair United States	17	99 0.3×	7 0.0×	409 2.3×	34 0.3×	216 1.8×	120	925
Baogang Wei China	16	200 0.6×	15 0.1×	66 0.4×	7 0.1×	363 3.0×	74	754

Countries citing papers authored by Daniel Schlegel

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Schlegel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schlegel

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

Schlegel, Daniel, et al.. (2025). Prediction and experimental validation of cutting forces in ball end milling of aluminum 7075-T6 alloy. Advances in Science and Technology – Research Journal. 19(8). 68–76.

Schlegel, Daniel, et al.. (2022). Diagnoses per Encounter by Telephone, Televideo, and In-Office Visits. The Journal of the American Board of Family Medicine. 35(3). 491–496. 2 indexed citations

Elkin, Peter L., Sarah Mullin, Jack Mardekian, et al.. (2021). Using Artificial Intelligence With Natural Language Processing to Combine Electronic Health Record’s Structured and Free Text Data to Identify Nonvalvular Atrial Fibrillation to Decrease Strokes and Death: Evaluation and Case-Control Study. Journal of Medical Internet Research. 23(11). e28946–e28946. 24 indexed citations

Dumas, Thomas, E. Mendès, Pier Lorenzo Solari, et al.. (2020). Electrochemical and Spectroscopic Study of Eu^III and Eu^II Coordination in the 1‐Ethyl‐3‐methylimidazolium Bis(trifluoromethylsulfonyl)imide Ionic Liquid. Chemistry - A European Journal. 26(63). 14385–14396. 10 indexed citations

Schlegel, Daniel, et al.. (2020). What's Happening in Your Head: Overcoming Our Assumptions to Work Better Together. MedEdPORTAL. 16. 11034–11034. 2 indexed citations

Schlegel, Daniel, Kate Gordon, Carmelo Gaudioso, & Mor Peleg. (2019). Clinical Tractor: A Framework for Automatic Natural Language Understanding of Clinical Practice Guidelines.. PubMed. 2019. 784–793. 4 indexed citations

Schlegel, Daniel & Grégoire Ficheur. (2017). Secondary Use of Patient Data: Review of the Literature Published in 2016. Yearbook of Medical Informatics. 26(1). 68–71. 18 indexed citations

Langlade, C., et al.. (2017). Influence of friction stir process parameters on surface quality of aluminum alloy A2017. SHILAP Revista de lepidopterología. 94. 2006–2006. 3 indexed citations

Elkin, Peter L., et al.. (2016). Recruiting Participants to Local Clinical Trials using Ontology and the IoT. Studies in health technology and informatics. 221. 119–119. 1 indexed citations

10.

Shapiro, Stuart C. & Daniel Schlegel. (2015). Use of background knowledge in natural language understanding for information fusion. 901–907. 3 indexed citations

11.

Schlegel, Daniel & Stuart C. Shapiro. (2014). The `Ah Ha!' Moment : When Possible, Answering the Currently Unanswerable using Focused Reasoning. Cognitive Science. 36(36). 1 indexed citations

12.

Schlegel, Daniel, et al.. (2014). Systemic test and evaluation of a hard+soft information fusion framework: Challenges and current approaches. International Conference on Information Fusion. 1–8. 12 indexed citations

13.

Langlade, C., et al.. (2014). Study of stirred layers on 316L steel created by friction stir processing. IOP Conference Series Materials Science and Engineering. 63. 12007–12007. 2 indexed citations

14.

Shapiro, Stewart & Daniel Schlegel. (2013). Natural Language Understanding for Soft Information Fusion. 4 indexed citations

15.

Schlegel, Daniel & Stuart C. Shapiro. (2013). Concurrent Reasoning with Inference Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 27(1). 1637–1638. 1 indexed citations

16.

Schlegel, Daniel. (2013). Concurrent Inference Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 27(1). 1680–1681. 2 indexed citations

17.

Nagi, Rakesh, et al.. (2012). Towards hard+soft data fusion: Processing architecture and implementation for the joint fusion and analysis of hard and soft intelligence data. International Conference on Information Fusion. 955–962. 19 indexed citations

18.

Lebaal, Nadhir, et al.. (2010). Automatic Optimization of Air Conduct Design Using Experimental Data and Numerical Results. International Journal for Simulation and Multidisciplinary Design Optimization. 4(2). 77–83. 5 indexed citations

19.

Upson, Craig, et al.. (1989). The application visualization system: a computational environment for scientific visualization. IEEE Computer Graphics and Applications. 9(4). 30–42. 568 indexed citations breakdown →

20.

Fischer, Wilhelm Anton, et al.. (1970). EXAMINATION OF $alpha$/$gamma$ TRANSFORMATION IN VERY PURE BINARY ALLOYS OF IRON WITH MOLYBDENUM, VANADIUM, TUNGSTEN, NIOBIUM, TANTALUM, ZIRCONIUM, AND COBALT.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 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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