Mark Schildhauer

6.7k total citations · 1 hit paper
46 papers, 2.5k citations indexed

About

Mark Schildhauer is a scholar working on Artificial Intelligence, Information Systems and Management and Information Systems. According to data from OpenAlex, Mark Schildhauer has authored 46 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 20 papers in Information Systems and Management and 19 papers in Information Systems. Recurrent topics in Mark Schildhauer's work include Scientific Computing and Data Management (20 papers), Semantic Web and Ontologies (19 papers) and Research Data Management Practices (17 papers). Mark Schildhauer is often cited by papers focused on Scientific Computing and Data Management (20 papers), Semantic Web and Ontologies (19 papers) and Research Data Management Practices (17 papers). Mark Schildhauer collaborates with scholars based in United States, Australia and United Kingdom. Mark Schildhauer's co-authors include Matthew B. Jones, O. J. Reichman, Shawn Bowers, Joshua S. Madin, Eric Fegraus, Sandy J. Andelman, Chad Berkley, Deana Pennington, Robert R. Warner and Steven Hoffman and has published in prestigious journals such as Science, Trends in Ecology & Evolution and Remote Sensing of Environment.

In The Last Decade

Mark Schildhauer

43 papers receiving 2.4k citations

Hit Papers

Challenges and Opportunities of Open Data in Ecology 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Schildhauer United States 22 764 755 721 650 532 46 2.5k
Matthew B. Jones United States 19 551 0.7× 761 1.0× 1.5k 2.1× 1.9k 3.0× 288 0.5× 62 3.6k
William K. Michener United States 35 1.7k 2.3× 820 1.1× 927 1.3× 777 1.2× 1.1k 2.0× 86 4.5k
Carl Boettiger United States 21 592 0.8× 258 0.3× 353 0.5× 335 0.5× 782 1.5× 77 2.8k
Lyubomir Penev Bulgaria 23 610 0.8× 700 0.9× 309 0.4× 213 0.3× 246 0.5× 111 2.0k
Carly Strasser United States 14 329 0.4× 290 0.4× 343 0.5× 283 0.4× 239 0.4× 37 1.2k
Renato De Giovanni Brazil 11 457 0.6× 716 0.9× 204 0.3× 145 0.2× 137 0.3× 24 1.4k
Sang-Don Lee South Korea 17 547 0.7× 343 0.5× 302 0.4× 48 0.1× 522 1.0× 115 3.4k
Clifford S. Duke United States 21 563 0.7× 302 0.4× 194 0.3× 168 0.3× 474 0.9× 41 1.9k
Gary N. Geller United States 22 773 1.0× 611 0.8× 93 0.1× 153 0.2× 846 1.6× 35 2.2k
Peter Arzberger United States 17 233 0.3× 201 0.3× 262 0.4× 284 0.4× 162 0.3× 46 1.5k

Countries citing papers authored by Mark Schildhauer

Since Specialization
Citations

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

Fields of papers citing papers by Mark Schildhauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Schildhauer

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Schildhauer. A scholar is included among the top collaborators of Mark Schildhauer 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 Mark Schildhauer. Mark Schildhauer 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.
Li, Wenwen, Sizhe Wang, Xiaohong Chen, et al.. (2023). GeoGraphVis: A Knowledge Graph and Geovisualization Empowered Cyberinfrastructure to Support Disaster Response and Humanitarian Aid. ISPRS International Journal of Geo-Information. 12(3). 112–112. 19 indexed citations
2.
Janowicz, Krzysztof, Cogan Shimizu, Pascal Hitzler, et al.. (2021). Diverse data! Diverse schemata?. Semantic Web. 1–3. 2 indexed citations
3.
MacDonald, Andrew, Sarah C. Bagby, Xueying Han, et al.. (2021). The Tao of open science for ecology. UNC Libraries.
4.
Jones, Matthew B., et al.. (2018). DataONE on the web: Using Schema.org and JSON-LD to enhance data search and access. AGU Fall Meeting Abstracts. 2018.
5.
Schildhauer, Mark, et al.. (2017). Articles of Data Confederation: DataONE, the KNB, and a multitude of Metacats- scaling interoperable data discovery and preservation from the lab to the Internet. AGUFM. 2017. 1 indexed citations
6.
Buttigieg, Pier Luigi, Evangelos Pafilis, Suzanna Lewis, et al.. (2016). The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation. Journal of Biomedical Semantics. 7(1). 57–57. 126 indexed citations
7.
Jetz, Walter, Jeannine Cavender‐Bares, Ryan Pavlick, et al.. (2016). Monitoring plant functional diversity from space. Nature Plants. 2(3). 16024–16024. 261 indexed citations
9.
Byrnes, Jarrett E. K., Edward B. Baskerville, Cameron Neylon, et al.. (2014). The four pillars of scholarly publishing: The future and a foundation. eSpace (Curtin University). 7. 24 indexed citations
10.
Queenborough, Simon A., Ira Cooke, & Mark Schildhauer. (2010). Do we need an EcoBank? The Ecology of Data-Sharing. 1 indexed citations
11.
Borer, Elizabeth T., Eric W. Seabloom, Matthew B. Jones, & Mark Schildhauer. (2009). Some Simple Guidelines for Effective Data Management. Bulletin of the Ecological Society of America. 90(2). 205–214. 55 indexed citations
12.
Bowers, Shawn, Joshua S. Madin, & Mark Schildhauer. (2009). Owlifier: Creating OWL-DL ontologies from simple spreadsheet-based knowledge descriptions. Ecological Informatics. 5(1). 19–25. 9 indexed citations
13.
Altıntaş, İlkay, Matthew B. Jones, Daniel Crawl, et al.. (2009). Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis. Ecological Informatics. 5(1). 42–50. 65 indexed citations
14.
Berkley, Chad, Shawn Bowers, Matthew B. Jones, Joshua S. Madin, & Mark Schildhauer. (2009). Improving Data Discovery for Metadata Repositories through Semantic Search. 1152–1159. 17 indexed citations
15.
Madin, Joshua S., Shawn Bowers, Mark Schildhauer, & Matthew B. Jones. (2008). Advancing ecological research with ontologies. Trends in Ecology & Evolution. 23(3). 159–168. 123 indexed citations
16.
Michener, William K., James H. Beach, Matthew B. Jones, et al.. (2007). A knowledge environment for the biodiversity and ecological sciences. Journal of Intelligent Information Systems. 29(1). 111–126. 28 indexed citations
17.
Gamon, John A., Ashikur Rahman, Jennifer Dungan, Mark Schildhauer, & K. F. Huemmrich. (2006). Spectral Network (SpecNet)—What is it and why do we need it?. Remote Sensing of Environment. 103(3). 227–235. 119 indexed citations
18.
Berkley, Chad, Shawn Bowers, Matthew B. Jones, et al.. (2005). Incorporating semantics in scientific workflow authoring. 75–78. 38 indexed citations
19.
Fegraus, Eric, Sandy J. Andelman, Matthew B. Jones, & Mark Schildhauer. (2005). Maximizing the Value of Ecological Data with Structured Metadata: An Introduction to Ecological Metadata Language (EML) and Principles for Metadata Creation. Bulletin of the Ecological Society of America. 86(3). 158–168. 157 indexed citations
20.
Beach, James H., Shawn Bowers, Matthew B. Jones, et al.. (2005). Creating and providing data management services for the biological and ecological sciences: science environment for ecological knowledge. 28–31. 5 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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