Michael Baron

785 citations
17 papers · 535 · h-index 6

Impact in

Papers in

    • Data Stream Mining Techniques 4
    • Machine Learning and Data Classification 3
    • Anomaly Detection Techniques and Applications 2
    • Time Series Analysis and Forecasting 2

Michael Baron

12 papers receiving 446 citations

Peers

Michael Baron
Comparison fields: 5 of 88
  • Literature and Literary Theory 86
  • Geography, Planning and Development 42
  • Artificial Intelligence 241
  • Signal Processing 57
  • Nature and Landscape Conservation 39
Replace Eric C Kansa with:
Eric C Kansa United States
Edward Cecil Harris Bermuda
David Nichol Smith United Kingdom
Sarah Whitcher Kansa United States
Peter Ranacher Switzerland
Patricia Murrieta‐Flores United Kingdom
John Solomon Otto United States
Curdin Derungs Switzerland
Mary A. Keeler United States
Ruth Mostern United States
Michael Baron relative to Eric C Kansa United States Eric C Kansa's profile →
Citations per field
00.5×10×20×30×39×
Eric C Kansa · 1×
Citations per year

Countries citing papers authored by Michael Baron

Since Specialization
Citations

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

Fields of papers citing papers by Michael Baron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Baron. 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 Michael Baron. The network helps show where Michael Baron may publish in the future.

Co-authors

The 13 scholars most cited alongside Michael Baron, 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 Michael Baron Line = papers co-authored together Michael Baron links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1992152
2 2016137
3 1991118
4 201686
5 201521
6 20146
7 20235
8 20143
9 20093
10 20141
11 20101
12 20071
13 20081
14
The songs of Franz Liszt
19930
15 20230
16 19990
17 20190

About Michael Baron

Michael Baron is a scholar working on Artificial Intelligence, Signal Processing, Literature and Literary Theory, Business and International Management and Music, having authored 17 papers that have together received 535 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (4 papers), Machine Learning and Data Classification (3 papers), Anomaly Detection Techniques and Applications (2 papers), Time Series Analysis and Forecasting (2 papers), Statistical Methods in Clinical Trials (1 paper), Child Development and Digital Technology (1 paper), Innovation and Socioeconomic Development (1 paper) and Facilities and Workplace Management (1 paper). The work is most often cited by research in Literature and Literary Theory (86 citations), Geography, Planning and Development (42 citations), Artificial Intelligence (241 citations), Signal Processing (57 citations) and Nature and Landscape Conservation (39 citations). Michael Baron has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Latifur Khan, Ahsanul Haque, Kelly West, Andrew S. Cohen, Bhavani M. Thuraisingham, Charų C. Aggarwal, João W. Cangussu, Kendra Cooper, Ahmad Mustafa and Michael I. Rosenberg. Their work appears in journals such as English Journal of the English Association, Evolution, Software Testing Verification and Reliability, Lecture notes in computer science and Charles Sturt University Research Output (CRO).

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