J.C. Schryver

414 total citations
27 papers, 243 citations indexed

About

J.C. Schryver is a scholar working on Artificial Intelligence, Management Science and Operations Research and Social Psychology. According to data from OpenAlex, J.C. Schryver has authored 27 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 4 papers in Social Psychology. Recurrent topics in J.C. Schryver's work include Human-Automation Interaction and Safety (4 papers), Complex Systems and Decision Making (3 papers) and Gaze Tracking and Assistive Technology (3 papers). J.C. Schryver is often cited by papers focused on Human-Automation Interaction and Safety (4 papers), Complex Systems and Decision Making (3 papers) and Gaze Tracking and Assistive Technology (3 papers). J.C. Schryver collaborates with scholars based in United States. J.C. Schryver's 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, Tingfen Yan and X. Liu and has published in prestigious journals such as Applied and Environmental Microbiology, Microbial Ecology and Future Generation Computer Systems.

In The Last Decade

J.C. Schryver

25 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.C. Schryver United States 7 88 39 38 33 25 27 243
Al Amin Biswas Bangladesh 13 139 1.6× 11 0.3× 30 0.8× 10 0.3× 34 1.4× 27 459
Héctor Allende‐Cid Chile 12 117 1.3× 5 0.1× 13 0.3× 10 0.3× 23 0.9× 44 363
Rüdiger Klar Germany 7 80 0.9× 17 0.4× 13 0.3× 4 0.1× 31 1.2× 17 238
Manal A. Ismail Egypt 8 87 1.0× 10 0.3× 46 1.2× 7 0.2× 36 1.4× 30 278
Soyoung Lee South Korea 10 33 0.4× 6 0.2× 3 0.1× 64 1.9× 43 1.7× 48 416
M. Raihan Bangladesh 11 194 2.2× 4 0.1× 158 4.2× 12 0.4× 9 0.4× 65 492
José Mira Spain 9 55 0.6× 5 0.1× 7 0.2× 3 0.1× 23 0.9× 29 243
Zainab Assaghir France 5 196 2.2× 6 0.2× 14 0.4× 2 0.1× 20 0.8× 11 265
Alam Ahmad Hidayat Indonesia 10 55 0.6× 19 0.5× 5 0.1× 5 0.2× 33 1.3× 46 288
Teddy Suparyanto Indonesia 10 40 0.5× 41 1.1× 6 0.2× 3 0.1× 10 0.4× 52 298

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-authorship network of co-authors of J.C. Schryver

This figure shows the co-authorship network connecting the top 25 collaborators of J.C. Schryver. A scholar is included among the top collaborators of J.C. Schryver 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 J.C. Schryver. J.C. Schryver 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.
Chandola, Varun, J.C. Schryver, & Sreenivas R. Sukumar. (2015). Fraud Detection in Healthcare.. 577–598. 1 indexed citations
2.
Nutaro, James, et al.. (2014). Disaggregation and refinement of system dynamics models via agent-based modeling. 11. 2 indexed citations
3.
Chandola, Varun, Sreenivas R. Sukumar, & J.C. Schryver. (2013). Knowledge discovery from massive healthcare claims data. 1312–1320. 81 indexed citations
4.
Xu, Songhua, et al.. (2012). A New Collaborative Tool for Visually Understanding National Health Indicators. 7(1 Pt). 91–100. 2 indexed citations
5.
Schryver, J.C., Mallikarjun Shankar, & Songhua Xu. (2012). Moving from descriptive to causal analytics. 1–8. 1 indexed citations
6.
Nutaro, James, et al.. (2012). The throughput, reliability, availability, maintainability (TRAM) methodology for predicting chemical plant production. Zenodo (CERN European Organization for Nuclear Research). 1–6. 2 indexed citations
7.
Olama, Mohammed M., et al.. (2010). A Bayesian belief network of threat anticipation and terrorist motivations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7666. 76660V–76660V. 2 indexed citations
8.
Perumalla, Kalyan S. & J.C. Schryver. (2009). A Connectionist Modeling Approach to Rapid Analysis of Emergent Social Cognition Properties in Large-Populations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
9.
Schryver, J.C., Craig C. Brandt, Susan M. Pfiffner, et al.. (2006). Application of Nonlinear Analysis Methods for Identifying Relationships Between Microbial Community Structure and Groundwater Geochemistry. Microbial Ecology. 51(2). 177–188. 21 indexed citations
10.
Fields, Matthew W., J.C. Schryver, Craig C. Brandt, et al.. (2005). Confidence intervals of similarity values determined for cloned SSU rRNA genes from environmental samples. Journal of Microbiological Methods. 65(1). 144–152. 6 indexed citations
11.
Palumbo, Anthony V., J.C. Schryver, Matthew W. Fields, et al.. (2004). Coupling of Functional Gene Diversity and Geochemical Data from Environmental Samples. Applied and Environmental Microbiology. 70(11). 6525–6534. 34 indexed citations
13.
Flannery, Raymond B., et al.. (2001). Issues in time-series and categorical data exploration. Morgan Kaufmann Publishers Inc. eBooks. 229–235. 2 indexed citations
14.
Donato, J.M., et al.. (1999). Mining multi-dimensional data for decision support. Future Generation Computer Systems. 15(3). 433–441. 17 indexed citations
15.
Goldberg, Joseph H. & J.C. Schryver. (1995). Eye-gaze-contingent control of the computer interface: Methodology and example for zoom detection. Behavior Research Methods, Instruments, & Computers. 27(3). 338–350. 35 indexed citations
16.
Schryver, J.C.. (1994). Experimental Validation of Navigation Workload Metrics. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 38(4). 340–344. 2 indexed citations
17.
Schryver, J.C. & Joseph H. Goldberg. (1993). Eye-gaze and intent: Application in 3D interface control. International Conference on Human-Computer Interaction. 573–578. 3 indexed citations
18.
Goldberg, Joseph H. & J.C. Schryver. (1993). Eye-Gaze Control of the Computer Interface: Discrimination of Zoom Intent. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 37(19). 1370–1374. 6 indexed citations
19.
Schryver, J.C.. (1992). Object-oriented qualitative simulation of human mental models of complex systems. IEEE Transactions on Systems Man and Cybernetics. 22(3). 526–541. 6 indexed citations
20.
Schryver, J.C., et al.. (1989). Operator role definition and human system integration. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 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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