Paul Salama

1.9k total citations
115 papers, 1.1k citations indexed

About

Paul Salama is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Biophysics. According to data from OpenAlex, Paul Salama has authored 115 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 31 papers in Signal Processing and 31 papers in Biophysics. Recurrent topics in Paul Salama's work include Cell Image Analysis Techniques (29 papers), Video Coding and Compression Technologies (27 papers) and Advanced Data Compression Techniques (26 papers). Paul Salama is often cited by papers focused on Cell Image Analysis Techniques (29 papers), Video Coding and Compression Technologies (27 papers) and Advanced Data Compression Techniques (26 papers). Paul Salama collaborates with scholars based in United States, Spain and China. Paul Salama's co-authors include Edward J. Delp, Kenneth W. Dunn, Maher Rizkalla, Ness B. Shroff, David Joon Ho, Zhi Han, Zhi Huang, Jie Zhang, Shunian Xiang and Kun Huang and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Paul Salama

110 papers receiving 1.1k citations

Peers

Paul Salama
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 468
  • Artificial Intelligence 273
  • Molecular Biology 261
  • Biophysics 250
  • Signal Processing 219
Replace Xin Zheng with:
Xin Zheng China
George Teodoro Brazil
Tony Pan United States
Laura E. Boucheron United States
Joel H. Saltz United States
Miao Liao China
Raj Acharya United States
Nikita Orlov United States
Rongshan Yu Singapore
Tanel Pärnamaa Estonia
Xin Zheng China View profile →
Citations per field, relative to Paul Salama
Paul Salama · 1×
Citations per year, relative to Paul Salama
Paul Salama · 1×

Countries citing papers authored by Paul Salama

Since Specialization
Citations

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

Fields of papers citing papers by Paul Salama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Salama

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Salama. A scholar is included among the top collaborators of Paul Salama 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 Paul Salama. Paul Salama 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 1
2 0
3 1
4 48
5 11
6 10
7 3
8 1
9
SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer
4
10
DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data
2
11
Segmentation of biological images containing multitarget labeling using the jelly filling framework
1
12 1
13 1
14 7
15 9
16 6
17 18
18 6
19 3
20
Some Results on Stochastic and Fuzzy Control of Nonlinear Difference Equations with Finite Delays.
2

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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