Mark Schildhauer

43 papers receiving 2.4k citations

Hit Papers

Challenges and Opportunities of Open Data in Ecology 2011 · 493 citations
4930+5+10Years since publication100200300400

Peers

Mark Schildhauer
Comparison fields: 5 of 141
  • Ecological Modeling 755
  • Information Systems and Management 650
  • Information Systems 721
  • Nature and Landscape Conservation 374
  • Ecology 764
Replace William K. Michener with:
William K. Michener United States
Matthew B. Jones United States
Lyubomir Penev Bulgaria
Carl Boettiger United States
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Renato De Giovanni Brazil
Mark Gahegan United States
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Mark Schildhauer relative to William K. Michener United States William K. Michener's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Mark Schildhauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Schildhauer Line = papers co-authored together Mark Schildhauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Challenges and Opportunities of Open Data in Ecology
Hit paper breakdown →
2011493
2 2016261
3 2006158
4 2005157
5 2007155
6 2016126
7 2008123
8 2014120
9 2015119
10 2006119
11 200194
12 201489
13 200965
14 198565
15 201757
16 200955
17
Incorporating semantics in scientific workflow authoring
200538
18 201534
19 200728
20 201424

About Mark Schildhauer

Mark Schildhauer is a scholar working on Artificial Intelligence, Information Systems and Management, Information Systems, Ecological Modeling and Molecular Biology, having authored 46 papers that have together received 2.5k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (20 papers), Semantic Web and Ontologies (19 papers), Research Data Management Practices (17 papers), Species Distribution and Climate Change (10 papers), Biomedical Text Mining and Ontologies (7 papers), Data Management and Algorithms (3 papers), Distributed and Parallel Computing Systems (3 papers) and Geographic Information Systems Studies (3 papers). The work is most often cited by research in Ecological Modeling (755 citations), Information Systems and Management (650 citations), Information Systems (721 citations), Nature and Landscape Conservation (374 citations) and Ecology (764 citations). Mark Schildhauer has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Matthew B. Jones, O. J. Reichman, Shawn Bowers, Joshua S. Madin, Sandy J. Andelman, Eric Fegraus, Chad Berkley, Deana Pennington, Steven Hoffman and Robert R. Warner. Their work appears in journals such as Ecological Informatics, Evolution, BioScience, Nature Plants and ISPRS International Journal of Geo-Information.

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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