Nasim Souly

697 total citations · 1 hit paper
4 papers, 393 citations indexed

About

Nasim Souly is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Nasim Souly has authored 4 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Nasim Souly's work include Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Image Retrieval and Classification Techniques (1 paper). Nasim Souly is often cited by papers focused on Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Image Retrieval and Classification Techniques (1 paper). Nasim Souly collaborates with scholars based in United States and Italy. Nasim Souly's co-authors include Mubarak Shah and Concetto Spampinato and has published in prestigious journals such as International Journal of Computer Vision and Journal of International Crisis and Risk Communication Research.

In The Last Decade

Nasim Souly

4 papers receiving 384 citations

Hit Papers

Semi Supervised Semantic Segmentation Using Generative Ad... 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Semi Supervised Semantic Segmentation Using Generative Adversarial Network
    2017 349 citations Nasim Souly, Concetto Spampinato et al. Journal of International Crisis and Risk Communication Research profile →

Peers

Nasim Souly
Golnaz Ghiasi United States
Tobias Pohlen Germany
Liwei Wu China
Huafeng Liu China
Huaxin Xiao China
Zhengyang Feng China
Amos Sironi Switzerland
Md Amirul Islam Canada
Wei-Chih Hung United States
Lanyun Zhu China
Golnaz Ghiasi United States
Nasim Souly
Citations per year, relative to Nasim Souly Nasim Souly (= 1×) peers Golnaz Ghiasi

Countries citing papers authored by Nasim Souly

Since Specialization
Citations

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

Fields of papers citing papers by Nasim Souly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasim Souly

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

All Works

4 of 4 papers shown
1.
2.
Souly, Nasim, Concetto Spampinato, & Mubarak Shah. (2017). Semi Supervised Semantic Segmentation Using Generative Adversarial Network. Journal of International Crisis and Risk Communication Research. 5689–5697. 349 indexed citations breakdown →
3.
Souly, Nasim & Mubarak Shah. (2016). Scene Labeling Using Sparse Precision Matrix. Journal of International Crisis and Risk Communication Research. 3650–3658. 8 indexed citations
4.
Souly, Nasim & Mubarak Shah. (2015). Visual Saliency Detection Using Group Lasso Regularization in Videos of Natural Scenes. International Journal of Computer Vision. 117(1). 93–110. 21 indexed citations

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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2026