Peter M. Barth

41 papers receiving 356 citations

Peers

Peter M. Barth
Comparison fields: 5 of 85
  • Dermatology 39
  • Oncology 66
  • Gastroenterology 12
  • Computer Networks and Communications 57
  • Computational Theory and Mathematics 38
Replace D.C. Doval with:
D.C. Doval India
Yoshiaki Okubo Japan
Ji Hyung Hong South Korea
Shiquan Wu China
Petr Kučera Czechia
Michael E. Sanford United States
Daniel Zinn United States
Athanasios Papadopoulos Greece
М. А. Каплан United States
Zhi-Gang Liu China
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Citations per year

Countries citing papers authored by Peter M. Barth

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Barth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter M. Barth, 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 Peter M. Barth Line = papers co-authored together Peter M. Barth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199647
2 201542
3 200135
4 202230
5 201829
6 201815
7 199511
8
Influence of matrix metalloproteinase 9 (MMP-9) on the metastatic behavior of oropharyngeal cancer.
200611
9 198011
10 199811
11 20139
12 20109
13 20109
14 20188
15 19958
16 19948
17
Spontaneous splenic rupture in acute myeloid leukemia: sonographic follow-up study.
19947
18 20147
19 20106
20 19936

About Peter M. Barth

Peter M. Barth is a scholar working on Hematology, Computer Networks and Communications, Computational Theory and Mathematics, Emergency Medicine and Oncology, having authored 45 papers that have together received 369 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Constraint Satisfaction and Optimization (6 papers), Formal Methods in Verification (3 papers), Protein Degradation and Inhibitors (3 papers), Cancer Treatment and Pharmacology (3 papers), Logic, programming, and type systems (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Dermatology (39 citations), Oncology (66 citations), Gastroenterology (12 citations), Computer Networks and Communications (57 citations) and Computational Theory and Mathematics (38 citations). Peter M. Barth has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Alexander Bockmayr, Adam J. Olszewski, Daniel M. Geynisman, Yu‐Ning Wong, Sherri Z. Millis, John Leonard Reagan, Gerard Patrick McGregor, Maria M. Byrne, Burkhard Göke and M Rothmund. Their work appears in journals such as American Journal of Hematology, Cancer, Operations research, computer science. Interface series, Journal of Geriatric Oncology and Clinical journal of oncology nursing.

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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