J.C. Schryver

25 papers receiving 225 citations

Peers

J.C. Schryver
Comparison fields: 5 of 86
  • Health Information Management 38
  • Human-Computer Interaction 33
  • Artificial Intelligence 88
  • Pollution 21
  • Management Science and Operations Research 20
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Countries citing papers authored by J.C. Schryver

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Schryver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C. Schryver. 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 J.C. Schryver. The network helps show where J.C. Schryver may publish in the future.

Co-authors

The 25 scholars most cited alongside J.C. Schryver, 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 J.C. Schryver Line = papers co-authored together J.C. Schryver links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201381
2 199535
3 200434
4 200621
5 199917
6 20056
7 19926
8 19936
9
Using Artificial Neural Networks to Assess Changes in Microbial Communities
19994
10 20114
11 20034
12
Eye-gaze and intent: Application in 3D interface control
19933
13
Knowledge-enhanced network simulation modeling of the nuclear power plant operator
19883
14
Issues in time-series and categorical data exploration
20012
15
A New Collaborative Tool for Visually Understanding National Health Indicators
20122
16 20102
17 20122
18 19942
19 20142
20 20152

About J.C. Schryver

J.C. Schryver is a scholar working on Artificial Intelligence, Management Science and Operations Research, Social Psychology, Epidemiology and Human-Computer Interaction, having authored 27 papers that have together received 243 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (4 papers), Gaze Tracking and Assistive Technology (3 papers), Risk and Safety Analysis (3 papers), Data-Driven Disease Surveillance (3 papers), Simulation Techniques and Applications (3 papers), Complex Systems and Decision Making (3 papers), Glaucoma and retinal disorders (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Health Information Management (38 citations), Human-Computer Interaction (33 citations), Artificial Intelligence (88 citations), Pollution (21 citations) and Management Science and Operations Research (20 citations). J.C. Schryver has collaborated with scholars based in United States. Frequent co-authors include Varun Chandola, Sreenivas R. Sukumar, Joseph H. Goldberg, Anthony V. Palumbo, Craig C. Brandt, Jizhong Zhou, Matthew W. Fields, Christopher E. Bagwell, Susan M. Pfiffner and Tingfen Yan. Their work appears in journals such as Microbial Ecology, Applied and Environmental Microbiology, Simulation Modelling Practice and Theory, Journal of Microbiological Methods and Future Generation Computer Systems.

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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