Bruce R. Schatz

3.5k total citations
94 papers, 2.4k citations indexed

About

Bruce R. Schatz is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bruce R. Schatz has authored 94 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 20 papers in Information Systems and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bruce R. Schatz's work include Semantic Web and Ontologies (20 papers), Biomedical Text Mining and Ontologies (15 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers). Bruce R. Schatz is often cited by papers focused on Semantic Web and Ontologies (20 papers), Biomedical Text Mining and Ontologies (15 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers). Bruce R. Schatz collaborates with scholars based in United States, Italy and Switzerland. Bruce R. Schatz's co-authors include Hsinchun Chen, Robin R. Sewell, Andrea L. Houston, Richard B. Berlin, Tobun D. Ng, Joshua Juen, Brant Chee, Qian Cheng, Jerry A. Krishnan and Hsinchun Chen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Bruce R. Schatz

88 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruce R. Schatz United States 25 905 712 339 327 183 94 2.4k
Antonio Moreno Spain 30 1.1k 1.2× 650 0.9× 292 0.9× 337 1.0× 159 0.9× 127 2.9k
Harry Hochheiser United States 24 456 0.5× 288 0.4× 460 1.4× 410 1.3× 80 0.4× 112 2.5k
Michal Rosen‐Zvi Israel 19 1.7k 1.9× 626 0.9× 281 0.8× 375 1.1× 73 0.4× 56 2.8k
Krishnaprasad Thirunarayan United States 24 1.3k 1.4× 510 0.7× 210 0.6× 140 0.4× 265 1.4× 122 2.2k
Xujuan Zhou Australia 24 920 1.0× 366 0.5× 101 0.3× 177 0.5× 157 0.9× 97 2.1k
Prakash M. Nadkarni United States 22 931 1.0× 204 0.3× 640 1.9× 74 0.2× 105 0.6× 83 2.3k
Raj Gururajan Australia 20 499 0.6× 173 0.2× 184 0.5× 115 0.4× 102 0.6× 152 1.8k
Benjamin M. Marlin United States 24 1.1k 1.2× 596 0.8× 85 0.3× 568 1.7× 231 1.3× 84 2.4k
Frederick W. B. Li United Kingdom 26 398 0.4× 518 0.7× 257 0.8× 312 1.0× 271 1.5× 148 2.8k
Shlomo Berkovsky Australia 32 1.1k 1.2× 1.2k 1.6× 61 0.2× 510 1.6× 192 1.0× 169 3.5k

Countries citing papers authored by Bruce R. Schatz

Since Specialization
Citations

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

Fields of papers citing papers by Bruce R. Schatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruce R. Schatz. 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 Bruce R. Schatz. The network helps show where Bruce R. Schatz may publish in the future.

Co-authorship network of co-authors of Bruce R. Schatz

This figure shows the co-authorship network connecting the top 25 collaborators of Bruce R. Schatz. A scholar is included among the top collaborators of Bruce R. Schatz 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 Bruce R. Schatz. Bruce R. Schatz 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.
Zhou, Haowen, et al.. (2022). Population analysis of mortality risk: Predictive models from passive monitors using motion sensors for 100,000 UK Biobank participants. SHILAP Revista de lepidopterología. 1(10). e0000045–e0000045. 6 indexed citations
2.
Schatz, Bruce R.. (2018). The computation of immediate texture discrimination. DSpace@MIT (Massachusetts Institute of Technology). 708–708.
3.
Di, Chongzhi, et al.. (2018). Accelerometer-based predictive models of fall risk in older women: a pilot study. npj Digital Medicine. 1(1). 25–25. 53 indexed citations
4.
Qian, Cheng, et al.. (2016). Classification Models for Pulmonary Function using Motion Analysis from Phone Sensors.. PubMed. 2016. 401–410. 10 indexed citations
5.
Schatz, Bruce R.. (2015). National Surveys of Population Health: Big Data Analytics for Mobile Health Monitors. Big Data. 3(4). 219–229. 23 indexed citations
6.
Juen, Joshua, Cheng Qian, Valentin Prieto-Centurion, Jerry A. Krishnan, & Bruce R. Schatz. (2014). Health Monitors for Chronic Disease by Gait Analysis with Mobile Phones. Telemedicine Journal and e-Health. 20(11). 1035–1041. 60 indexed citations
7.
Prieto-Centurion, Valentin, Hélène A. Gussin, Sharmilee M. Nyenhuis, et al.. (2014). Interventions to Reduce Rehospitalizations after Chronic Obstructive Pulmonary Disease Exacerbations. A Systematic Review. Annals of the American Thoracic Society. 11(3). 417–424. 78 indexed citations
8.
Sondhi, Parikshit, et al.. (2014). Resolving healthcare forum posts via similar thread retrieval. 33–42. 9 indexed citations
9.
Jiang, Yunliang, et al.. (2013). Aggregating Personal Health Messages for Scalable Comparative Effectiveness Research. 907–916. 7 indexed citations
10.
Khetani, Radhika S., Brant Chee, Xu Ling, et al.. (2011). BeeSpace Navigator: exploratory analysis of gene function using semantic indexing of biological literature. Nucleic Acids Research. 39(suppl_2). W462–W469. 1 indexed citations
11.
Ling, Xu, Qiaozhu Mei, ChengXiang Zhai, & Bruce R. Schatz. (2008). Mining multi-faceted overviews of arbitrary topics in a text collection. 497–505. 26 indexed citations
12.
Ling, Xu, Jing Jiang, Xin He, et al.. (2005). AUTOMATICALLY GENERATING GENE SUMMARIES FROM BIOMEDICAL LITERATURE. PubMed. 40–51. 26 indexed citations
13.
Schatz, Bruce R.. (2002). Building analysis environments: Beyond the genome and the web. IEEE Intelligent Systems and their Applications. 17(3). 1 indexed citations
14.
Berlin, Richard B. & Bruce R. Schatz. (2001). Monitoring of Quality of Life in Congestive Heart Failure Populations. Congestive Heart Failure. 7(1). 13–29. 5 indexed citations
15.
Zhu, Bin, et al.. (1999). Support concept-based multimedia information retrieval: a knowledge management approach. International Conference on Information Systems. 1–14. 4 indexed citations
16.
Schatz, Bruce R., et al.. (1999). Performance and implications of semantic indexing in a distributed environment. 391–398. 1 indexed citations
17.
Chen, Hsinchun, Andrea L. Houston, Robin R. Sewell, & Bruce R. Schatz. (1998). Internet Browsing and Searching: User Evaluation of Category Map and Concept Space Techniques. UA Campus Repository (The University of Arizona). 3 indexed citations
18.
Jamison, D. Curtis, B.E. Mills, & Bruce R. Schatz. (1996). An extensible network query unification system for biological databases. Computer applications in the biosciences. 12(2). 145–150. 5 indexed citations
19.
Veretnik, Stella & Bruce R. Schatz. (1993). Pattern discovery in gene regulation; designing an analysis environment.. PubMed. 1. 411–9. 1 indexed citations
20.
Schatz, Bruce R.. (1987). Telesophy: A System for Manipulating the Knowledge of a Community. Global Communications Conference. 1181–1186. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026