John M. Aronis

910 citations
29 papers · 565 indexed · h-index 13

Impact in

Papers in

John M. Aronis

29 papers receiving 507 citations

Peers

John M. Aronis
Comparison fields: 5 of 123
  • Computer Science Applications 99
  • Health Informatics 16
  • Health Information Management 47
  • Artificial Intelligence 233
  • Gender Studies 64
Replace Brendan Flanagan with:
Brendan Flanagan Japan
Ioannis Korkontzelos United Kingdom
Tomoko Ohkuma Japan
Anna Rumshisky United States
Martin Hlosta United Kingdom
Milan Vukičević Serbia
David Eichmann United States
Rebecca Nugent United States
Kleinner Farias Brazil
Steven Burrows Germany
John M. Aronis relative to Brendan Flanagan Japan Brendan Flanagan's profile →
Citations per field
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Citations per year

Countries citing papers authored by John M. Aronis

Since Specialization
Citations

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

Fields of papers citing papers by John M. Aronis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20202
3 20174
4 201712
5 200699
6 200543
7
Increasing diversity in the information technology workforce: implications from a study of factors that predict achievement in CS
20041
8 200333
9 200010
10 199826
11 199814
12 199827
13
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation
199717
14 199715
15 1997138
16
The WoRLD: Knowledge Discovery from Multiple Distributed Databases
19978
17
Exploiting background knowledge in automated discovery
199615
18 199613
19
Plant exposures: a state profile of the most common species.
199611
20
Efficiently constructing relational features from background knowledge for inductive machine learning
199411

About John M. Aronis

John M. Aronis is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Modeling and Simulation and Gender Studies, having authored 29 papers that have together received 565 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (7 papers), Data-Driven Disease Surveillance (6 papers), Influenza Virus Research Studies (5 papers), Teaching and Learning Programming (4 papers), Gender and Technology in Education (4 papers), Anomaly Detection Techniques and Applications (4 papers), Information Systems Education and Curriculum Development (3 papers) and Poisoning and overdose treatments (3 papers). The work is most often cited by research in Computer Science Applications (99 citations), Health Informatics (16 citations), Health Information Management (47 citations), Artificial Intelligence (233 citations) and Gender Studies (64 citations). John M. Aronis has collaborated with scholars based in United States. Frequent co-authors include Mary Lou Soffa, David Allbritton, Bruce G. Buchanan, Foster Provost, Sandra Katz, Edward P. Krenzelok, Christine Brown Wilson, Teresa Jacobsen, Richard A. Caruana and Peter Spirtes. Their work appears in journals such as Machine Learning, The American Journal of Emergency Medicine, First Monday, Journal of Biomedical Informatics and PLoS ONE.

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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