Robert Serafin

675 citations
11 papers · 170 · h-index 5

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques

Papers in

Robert Serafin

10 papers receiving 168 citations

Peers

Robert Serafin
Comparison fields: 5 of 44
  • Aging 13
  • Biophysics 30
  • Cellular and Molecular Neuroscience 74
  • Structural Biology 5
  • Insect Science 32
Replace Eric T. Trautman with:
Eric T. Trautman United States
Ken‐ichi Hironaka Japan
Sebastian Dunst Germany
Jérémy Sallé France
Luke Hayden United States
Giriram Mohana Germany
Jamien Shea United States
Karin Panser Austria
Ibrahim Ihsan Taskiran Belgium
Robert Serafin relative to Eric T. Trautman United States Eric T. Trautman's profile →
Citations per field
00.5×3.8×
Eric T. Trautman · 1×
Citations per year

Countries citing papers authored by Robert Serafin

Since Specialization
Citations

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

Fields of papers citing papers by Robert Serafin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1998102
2 202024
3 202315
4 202410
5 20235
6 20244
7 20243
8 20213
9 20233
10 20221
11 20240

About Robert Serafin

Robert Serafin is a scholar working on Molecular Biology, Artificial Intelligence, Biophysics, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 170 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Molecular Biology Techniques and Applications (3 papers), Cell Image Analysis Techniques (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Optical Coherence Tomography Applications (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Aging (13 citations), Biophysics (30 citations), Cellular and Molecular Neuroscience (74 citations), Structural Biology (5 citations) and Insect Science (32 citations). Robert Serafin has collaborated with scholars based in United States, Switzerland and Finland. Frequent co-authors include David Richard, Lawrence I. Gilbert, Jonathan Liu, Adam K. Glaser, Weisi Xie, Hongyi Huang, Anant Madabhushi, Andrew Janowczyk, Can Koyuncu and Lawrence D. True. Their work appears in journals such as Journal of Insect Physiology, Nature Protocols, Optics Express, Optics Letters and PLoS ONE.

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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