Matthew Herland

682 citations
9 papers · 453 indexed · h-index 7
Topics
Imbalanced Data Classification Techniques (6 papers)Artificial Intelligence in Healthcare (3 papers)Medical Coding and Health Information (3 papers)
Partner nations
United States

In The Last Decade

Matthew Herland

9 papers receiving 421 citations

Peers

Matthew Herland
Comparison fields: 5 of 82
  • Artificial Intelligence 281
  • Health Information Management 172
  • Information Systems 62
  • Electrical and Electronic Engineering 46
  • Management Information Systems 45
Replace Bikash Kanti Sarkar with:
Bikash Kanti Sarkar India
Bavani Arunasalam Australia
Jon Patrick Australia
Tahir Ekin United States
John R. Talburt United States
Michael Lawley Australia
Harold R. Solbrig United States
Catalina Martínez-Costa Spain
Philipp Daumke Germany
Daniel Essin United States
Matthew Herland relative to Bikash Kanti Sarkar India Bikash Kanti Sarkar's profile →
Citations per field
00.5×3.4×
Bikash Kanti Sarkar · 1×
Citations per year

Countries citing papers authored by Matthew Herland

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Herland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Herland

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 5
2 34
3 12
4 115
5 24
6 45
7 200
8 16
9 2

About Matthew Herland

Matthew Herland is a scholar working on Health Information Management, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 9 papers that have together received 453 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (6 papers), Artificial Intelligence in Healthcare (3 papers) and Medical Coding and Health Information (3 papers). The work is most often cited by research in Health Information Management (172 citations), Artificial Intelligence (281 citations) and Health Informatics (10 citations). Matthew Herland has collaborated with scholars based in United States. Frequent co-authors include Taghi M. Khoshgoftaar, Richard A. Bauder, Randall Wald, Aaron N. Richter and Xingquan Zhu. Their work appears in journals such as Journal Of Big Data and Health Care Management Science.

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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