M. Bins

561 total citations
31 papers, 438 citations indexed

About

M. Bins is a scholar working on Biochemistry, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, M. Bins has authored 31 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biochemistry, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Surgery. Recurrent topics in M. Bins's work include Blood transfusion and management (8 papers), Digital Imaging for Blood Diseases (7 papers) and Blood donation and transfusion practices (5 papers). M. Bins is often cited by papers focused on Blood transfusion and management (8 papers), Digital Imaging for Blood Diseases (7 papers) and Blood donation and transfusion practices (5 papers). M. Bins collaborates with scholars based in Netherlands and Germany. M. Bins's co-authors include Janny De Wildt‐Eggen, H. C. van Prooijen, H. Gulliksson, Floris Takens, M. R. Halie, E. S. Gelsema, Rob Fijnheer, W. M. Smid, J. H. M. Van Tongeren and C. B. H. W. Lamers and has published in prestigious journals such as Pattern Recognition, British Journal of Haematology and Pure and Applied Chemistry.

In The Last Decade

M. Bins

26 papers receiving 405 citations

Peers

M. Bins
Comparison fields: 5 of 84
  • Biochemistry 252
  • Hematology 199
  • Management of Technology and Innovation 149
  • Surgery 43
  • Critical Care and Intensive Care Medicine 35
Replace Alfred A. Jacobs with:
Alfred A. Jacobs United States
Michael Heins Germany
Kimiko Iijima Japan
Timothy J. Fischer United States
Matthew Butler United Kingdom
Laura Napoleone Italy
Marco Pradella Italy
Poonam Malhotra India
Alexander Tolios Austria
Özgür Harmancı Türkiye
Alfred A. Jacobs United States View profile →
Citations per field, relative to M. Bins
M. Bins · 1×
Citations per year, relative to M. Bins
M. Bins · 1×

Countries citing papers authored by M. Bins

Since Specialization
Citations

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

Fields of papers citing papers by M. Bins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Bins

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 67
3 10
4 113
5 3
6 40
7 16
8 1
9 2
10 24
11 1
12 29
13
Prevalence of achlorhydria in a normal population and its relation to serum gastrin.
9
14 3
15
Parietal cell antibodies in relation to basal serum gastrin in a normal population.
3
16 1
17 26
18 10
19
Relations between gastric, serum gastrpin, parietal cell antibodies and the HLA-system.
1
20
Recognition of white blood cells with an interactive morphometry system(T.A.S.).
1

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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