Brad Boehmke

1.0k citations
3 papers · 429 indexed · 1 hit paper · h-index 3
Topics
Big Data and Business Intelligence (1 paper)Competitive and Knowledge Intelligence (1 paper)Anomaly Detection Techniques and Applications (1 paper)
Journals
International Journal of Information ManagementProceedings of the ... Annual Hawaii International Conference on System Sciences
Partner nations
United StatesAustria

In The Last Decade

Brad Boehmke

3 papers receiving 416 citations

Hit Papers

Hands-On Machine Learning with R20192026202120232019100200300400

Peers

Brad Boehmke
Comparison fields: 5 of 139
  • Artificial Intelligence 74
  • Global and Planetary Change 65
  • Environmental Engineering 59
  • Ecology 30
  • Water Science and Technology 29
Replace Brandon Greenwell with:
Brandon Greenwell United States
Giuseppe Casalicchio Germany
John Watson United States
Petraq Papajorgji United States
Julia Piantadosi Australia
Baptiste Gregorutti France
Antonio Sutera Belgium
Xiaoling Guo China
Ali Yalçin United States
Khaled Fawagreh Saudi Arabia
Brad Boehmke relative to Brandon Greenwell United States Brandon Greenwell's profile →
Citations per field
00.5×1.5×
Brandon Greenwell · 1×
Citations per year

Countries citing papers authored by Brad Boehmke

Since Specialization
Citations

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

Fields of papers citing papers by Brad Boehmke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad Boehmke

This figure shows the co-authorship network connecting the top 25 collaborators of Brad Boehmke. A scholar is included among the top collaborators of Brad Boehmke 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 Brad Boehmke. Brad Boehmke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 13
2 3
3
Hands-On Machine Learning with Rbreakdown →
413

About Brad Boehmke

Brad Boehmke is a scholar working on Management Information Systems, Strategy and Management and Computational Theory and Mathematics, having authored 3 papers that have together received 429 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (1 paper), Competitive and Knowledge Intelligence (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Environmental Engineering (59 citations), Global and Planetary Change (65 citations) and Artificial Intelligence (74 citations). Brad Boehmke has collaborated with scholars based in United States and Austria. Frequent co-authors include Brandon Greenwell, Benjamin T. Hazen, Christopher A. Boone, Jessica L. Robinson, Trevor Bihl, Kenneth W. Bauer and Robert Gutiérrez. Their work appears in journals such as International Journal of Information Management and Proceedings of the ... Annual Hawaii International Conference on System Sciences.

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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