Daniel Scholl

585 total citations
33 papers, 381 citations indexed

About

Daniel Scholl is a scholar working on Education, Sociology and Political Science and Agronomy and Crop Science. According to data from OpenAlex, Daniel Scholl has authored 33 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Education, 6 papers in Sociology and Political Science and 6 papers in Agronomy and Crop Science. Recurrent topics in Daniel Scholl's work include Education Methods and Technologies (6 papers), Teacher Education and Leadership Studies (5 papers) and Mathematics Education and Teaching Techniques (5 papers). Daniel Scholl is often cited by papers focused on Education Methods and Technologies (6 papers), Teacher Education and Leadership Studies (5 papers) and Mathematics Education and Teaching Techniques (5 papers). Daniel Scholl collaborates with scholars based in Germany, United States and Netherlands. Daniel Scholl's co-authors include Giselle Hosgood, Andreas Seifert, Kathy L. O’Reilly, Edmond K. Kabagambe, James P. Geaghan, J. Opuda‐Asibo, Philip H. Elzer, J.E. Miller, William King and S. M. Shane and has published in prestigious journals such as SHILAP Revista de lepidopterología, Infection and Immunity and Journal of Dairy Science.

In The Last Decade

Daniel Scholl

31 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Scholl Germany 12 126 108 81 50 44 33 381
W. I. B. Beveridge United Kingdom 12 84 0.7× 13 0.1× 92 1.1× 79 1.6× 33 0.8× 33 589
Dhammika N. Atapattu United States 13 97 0.8× 17 0.2× 36 0.4× 89 1.8× 40 0.9× 28 408
Mary Fraser United Kingdom 11 23 0.2× 49 0.5× 6 0.1× 34 0.7× 18 0.4× 38 316
Yassir Adam Shuaib Sudan 10 42 0.3× 5 0.0× 32 0.4× 74 1.5× 69 1.6× 39 304
Edward G. Johnson United States 11 318 2.5× 8 0.1× 33 0.4× 44 0.9× 63 1.4× 35 451
Natalie Robinson United Kingdom 13 155 1.2× 15 0.1× 10 0.1× 8 0.2× 9 0.2× 35 416
A. C. Trajstman Australia 11 47 0.4× 14 0.1× 16 0.2× 128 2.6× 6 0.1× 28 476
Julie L. Webb United States 9 23 0.2× 7 0.1× 21 0.3× 35 0.7× 14 0.3× 21 296
Fernanda Washington de Mendonça Lima Brazil 10 27 0.2× 11 0.1× 16 0.2× 72 1.4× 72 1.6× 26 259
Jennifer L. Huff United States 8 37 0.3× 11 0.1× 22 0.3× 146 2.9× 30 0.7× 8 422

Countries citing papers authored by Daniel Scholl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Scholl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Scholl

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Scholl. A scholar is included among the top collaborators of Daniel Scholl 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 Scholl. Daniel Scholl 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.
Scholl, Daniel, et al.. (2024). Establishing common ground in empirical research on science teachers’ lesson planning competence: a scoping review. Studies in Science Education. 61(2). 329–379. 2 indexed citations
2.
Scholl, Daniel, et al.. (2021). Die Optimierung von Medienentscheidungen in der Unterrichtsplanung – eine Utopie?. SHILAP Revista de lepidopterología. 42. 217–236. 2 indexed citations
3.
Scholl, Daniel, et al.. (2020). Analytical Competence of Teachers: Assessing the Construct Validity by Means of Mixed Methods and Drawing Consequences for Teacher Education. Kölner Universitäts PublikationsServer (Universität zu Köln). 47(2). 134–157. 2 indexed citations
4.
Scholl, Daniel, et al.. (2019). Looking in the Heads of Experienced Teachers – Do they use the Wide Range of Principles of Effective Teaching when Analysing Lessons?. ˜The œAustralian journal of teacher education. 21–35. 3 indexed citations
5.
Scholl, Daniel, et al.. (2019). "Und sie bewegt sich doch!". Wie spezifische Lerngelegenheiten die bildungswissenschaftlichen Kompetenzen von Lehramtsstudierenden fördern können. Zeitschrift für Pädagogik. 62(1). 109–130. 1 indexed citations
6.
7.
Scholl, Daniel, et al.. (2015). Analysekompetenz - ein zweidimensionales Konstrukt?!. Kölner Universitäts PublikationsServer (Universität zu Köln). 5 indexed citations
8.
Scholl, Daniel. (2009). Sind die traditionellen Lehrpläne überflüssig? : Zur lehrplantheoretischen Problematik von Bildungsstandards und Kernlehrplänen. VS Verlag für Sozialwissenschaften eBooks. 4 indexed citations
9.
Scholl, Daniel. (2009). Sind die traditionellen Lehrpläne überflüssig?. VS Verlag für Sozialwissenschaften eBooks. 3 indexed citations
10.
Scholl, Daniel, et al.. (2007). Netzwerke der Moderne : Erkundungen und Strategien. Königshausen & Neumann eBooks.
11.
O’Reilly, Kathy L., et al.. (2003). Estimation of sensitivity and specificity of two diagnostics tests for bovine immunodeficiency virus using Bayesian techniques. Preventive Veterinary Medicine. 61(2). 79–89. 20 indexed citations
12.
Hosgood, Giselle & Daniel Scholl. (2001). The effects of different methods of accounting for observations from euthanized animals in survival analysis. Preventive Veterinary Medicine. 48(2). 143–154. 13 indexed citations
13.
Kabagambe, Edmond K., Philip H. Elzer, James P. Geaghan, et al.. (2001). Risk factors for Brucella seropositivity in goat herds in eastern and western Uganda. Preventive Veterinary Medicine. 52(2). 91–108. 78 indexed citations
14.
Scholl, Daniel, et al.. (2000). Natural transplacental infection of dairy calves with bovine immunodeficiency virus and estimation of effect on neonatal health. Preventive Veterinary Medicine. 43(4). 239–252. 8 indexed citations
15.
Scholl, Daniel, et al.. (1999). Identification ofBartonella-Specific Immunodominant Antigens Recognized by the Feline Humoral Immune System. Clinical and Diagnostic Laboratory Immunology. 6(4). 558–566. 32 indexed citations
16.
Hosgood, Giselle & Daniel Scholl. (1998). Evalution of Age as a Risk Factor For Perianesthetic Morbidity and Mortality in the Dog. Journal of Veterinary Emergency and Critical Care. 8(3). 222–236. 45 indexed citations
17.
Shane, S. M., et al.. (1998). Evaluation of alternative strategies to prevent Newcastle disease in Cambodia. Preventive Veterinary Medicine. 35(4). 283–295. 14 indexed citations
18.
Gaunt, Stephen D., et al.. (1995). Clinical Hematology Practices at Veterinary Teaching Hospitals and Private Diagnostic Laboratories. Veterinary Clinical Pathology. 24(2). 64–67. 11 indexed citations
19.
Eilts, B.E., et al.. (1995). Prevalence of Endometrial Cysts and Their Effect on Fertility. Biology of Reproduction. 52(monograph_series1). 527–532. 11 indexed citations
20.
Scholl, Daniel, P. Dobbelaar, A. Brand, Fraukje M. Brouwer, & Miriam Maas. (1992). Standardized Protocol to Develop Dairy Farm Management Questionnaires for Observational Studies. Journal of Dairy Science. 75(2). 615–623. 8 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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