John L. Schnase

1.6k total citations
56 papers, 1.1k citations indexed

About

John L. Schnase is a scholar working on Computer Networks and Communications, Ecological Modeling and Artificial Intelligence. According to data from OpenAlex, John L. Schnase has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 13 papers in Ecological Modeling and 11 papers in Artificial Intelligence. Recurrent topics in John L. Schnase's work include Species Distribution and Climate Change (13 papers), Advanced Database Systems and Queries (10 papers) and Ecology and Vegetation Dynamics Studies (8 papers). John L. Schnase is often cited by papers focused on Species Distribution and Climate Change (13 papers), Advanced Database Systems and Queries (10 papers) and Ecology and Vegetation Dynamics Studies (8 papers). John L. Schnase collaborates with scholars based in United States, Mexico and Hungary. John L. Schnase's co-authors include Thomas J. Stohlgren, John J. Leggett, Peter J. Nürnberg, J. Alfredo Sánchez, Daniel Q. Duffy, David L. Hicks, Tsengdar Lee, William P. Webster, J. A. Pedelty and Asad Ullah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

John L. Schnase

54 papers receiving 955 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John L. Schnase United States	16	271	249	248	191	167	56	1.1k
Peter Arzberger United States	17	233 0.9×	206 0.8×	262 1.1×	201 1.1×	86 0.5×	46	1.5k
Andrew Jones United Kingdom	15	144 0.5×	346 1.4×	404 1.6×	74 0.4×	78 0.5×	63	1.7k
Deana Pennington United States	15	149 0.5×	62 0.2×	160 0.6×	122 0.6×	140 0.8×	46	928
Sven Schade Italy	20	110 0.4×	155 0.6×	195 0.8×	199 1.0×	304 1.8×	78	1.3k
Archer L. Batcheller United States	7	219 0.8×	42 0.2×	334 1.3×	262 1.4×	86 0.5×	9	1.1k
Birgitta König‐Ries Germany	15	101 0.4×	248 1.0×	422 1.7×	104 0.5×	362 2.2×	138	1.0k
Jane Hunter Australia	26	139 0.5×	265 1.1×	579 2.3×	105 0.5×	844 5.1×	138	2.2k
Pasquale Pagano Italy	19	126 0.5×	167 0.7×	281 1.1×	124 0.6×	174 1.0×	75	919
Mirek Riedewald United States	20	269 1.0×	964 3.9×	520 2.1×	315 1.6×	648 3.9×	58	2.0k

Countries citing papers authored by John L. Schnase

Since Specialization

Citations

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

Fields of papers citing papers by John L. Schnase

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Schnase. 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 John L. Schnase. The network helps show where John L. Schnase may publish in the future.

Co-authorship network of co-authors of John L. Schnase

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Schnase. A scholar is included among the top collaborators of John L. Schnase 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 John L. Schnase. John L. Schnase 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

Schnase, John L. & Mark Carroll. (2022). Automatic variable selection in ecological niche modeling: A case study using Cassin’s Sparrow (Peucaea cassinii). PLoS ONE. 17(1). e0257502–e0257502. 5 indexed citations

Schnase, John L., et al.. (2021). Toward a Monte Carlo approach to selecting climate variables in MaxEnt. PLoS ONE. 16(3). e0237208–e0237208. 23 indexed citations

Weber, K. T., et al.. (2018). Use and benefits of NASA’s RECOVER for post-fire decision support. International Journal of Wildland Fire. 27(7). 441–446.

Schnase, John L., et al.. (2017). The NASA Reanalysis Ensemble Service - Advanced Capabilities for Integrated Reanalysis Access and Intercomparison. AGUFM. 2017. 1 indexed citations

Schnase, John L., et al.. (2013). MERRA Analytic Services: Meeting the Big Data Challenges of Climate Science through Cloud-Enabled Climate Analytics-as-a-Service. AGU Fall Meeting Abstracts. 2013. 2 indexed citations

Carroll, Mark, et al.. (2013). A New Application to Facilitate Post-Fire Recovery and Rehabilitation in Savanna Ecosystems. 60(3). 347–65. 1 indexed citations

Schnase, John L., et al.. (2011). iRODS-Based Climate Data Services and Virtualization-as-a-Service in the NASA Center for Climate Simulation. AGU Fall Meeting Abstracts. 2011. 1 indexed citations

Duffy, Daniel Q., et al.. (2011). Preliminary Evaluation of MapReduce for High-Performance Climate Data Analysis. NASA STI Repository (National Aeronautics and Space Administration). 2011. 2 indexed citations

Stohlgren, Thomas J. & John L. Schnase. (2005). Risk Analysis for Biological Hazards: What We Need to Know about Invasive Species. Risk Analysis. 26(1). 163–173. 193 indexed citations

10.

Schnase, John L., James A. Smith, T. J. Stohlgren, Sara Graves, & Charles C. Trees. (2003). Biological invasions: a challenge in ecological forecasting. 1. 122–124. 9 indexed citations

11.

Maier, Dave, et al.. (2001). RESEARCH DIRECTIONS IN BIODIVERSITY AND ECOSYSTEM INFORMATICS. 9 indexed citations

12.

Schnase, John L., et al.. (1997). Flora of North America: A Distributed Cognitive System.. WebNet. 3 indexed citations

13.

Schnase, John L., et al.. (1995). Proceedings of CSCL '95 : The First International Conference on Computer Support for Collaborative Learning, October 17-20, 1995, Indiana University, Bloomington, Indiana, USA. 7 indexed citations

14.

Murphy, John F., et al.. (1995). 759–5 Use of an Interactive Electronic Whiteboard to Teach Clinical Cardiology Decision Analysis to Medical Students. Journal of the American College of Cardiology. 25(2). 238A–238A. 7 indexed citations

15.

Schnase, John L., John J. Leggett, David L. Hicks, Peter J. Nürnberg, & J. Alfredo Sánchez. (1994). Open architectures for integrated, hypermedia-based information systems. VBN Forskningsportal (Aalborg Universitet). 386–395. 13 indexed citations

16.

Frisse, Mark E., et al.. (1994). Academic networks. Academic Medicine. 69(4). 270–3. 22 indexed citations

17.

Jain, Nilesh, et al.. (1994). Interactive electronic whiteboards in the medical classroom.. PubMed. 54–8. 6 indexed citations

18.

Schnase, John L., John J. Leggett, David L. Hicks, Peter J. Nürnberg, & J. Alfredo Sánchez. (1993). Design and Implementation of the HB1 Hyperbase Management System. 6(1). 35–63. 20 indexed citations

19.

Schnase, John L., et al.. (1993). Semantic data modeling of hypermedia associations. ACM Transactions on Information Systems. 11(1). 27–50. 54 indexed citations

20.

Schnase, John L.. (1992). HB2: a hyperbase management system for open, distributed hypermedia system architectures. OakTrust (Texas A&M University Libraries). 16 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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