Joseph M. Malters

740 citations
13 papers · 546 indexed · h-index 10
Topics
Cutaneous Melanoma Detection and Management (10 papers)Optical Coherence Tomography Applications (3 papers)AI in cancer detection (3 papers)

In The Last Decade

Joseph M. Malters

13 papers receiving 517 citations

Peers

Joseph M. Malters
Comparison fields: 5 of 67
  • Oncology 447
  • Artificial Intelligence 260
  • Biomedical Engineering 139
  • Epidemiology 130
  • Dermatology 84
Replace Roberta B. Oliveira with:
Roberta B. Oliveira Brazil
Reda Kasmi Algeria
Rusong Meng China
Irene Fondón Spain
Jinman Kim Australia
Jason Hagerty United States
Nabin K. Mishra United States
Peter Bilek Germany
Jorge Rozeira Portugal
Amirreza Mahbod Austria
Joseph M. Malters relative to Roberta B. Oliveira Brazil Roberta B. Oliveira's profile →
Citations per field
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Roberta B. Oliveira · 1×
Citations per year

Countries citing papers authored by Joseph M. Malters

Since Specialization
Citations

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

Fields of papers citing papers by Joseph M. Malters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph M. Malters

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1
Marijuana Use in the Era of Changing Cannabis Laws: What Are the Risks? Who is Most at Risk?
4
2 11
3 20
4 46
5 31
6 40
7 8
8 31
9 15
10 20
11 275
12 2
13 43

About Joseph M. Malters

Joseph M. Malters is a scholar working on Oncology, Dermatology and Industrial and Manufacturing Engineering, having authored 13 papers that have together received 546 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (10 papers), Optical Coherence Tomography Applications (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Oncology (447 citations), Dermatology (84 citations) and Artificial Intelligence (260 citations). Joseph M. Malters has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include William V. Stoecker, M. Emre Celebi, Randy H. Moss, Harold Rabinovitz, James M. Grichnik, Ashfaq A. Marghoob, Hitoshi Iyatomi, Scott W. Menzies, Y. Alp Aslandogan and Hassan A. Kingravi. Their work appears in journals such as Journal of the American Academy of Dermatology, Toxicon and Computerized Medical Imaging and Graphics.

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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