Salman Toor

616 total citations
39 papers, 216 citations indexed

About

Salman Toor is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management. According to data from OpenAlex, Salman Toor has authored 39 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 15 papers in Information Systems and 13 papers in Information Systems and Management. Recurrent topics in Salman Toor's work include Scientific Computing and Data Management (13 papers), Advanced Data Storage Technologies (12 papers) and Distributed and Parallel Computing Systems (11 papers). Salman Toor is often cited by papers focused on Scientific Computing and Data Management (13 papers), Advanced Data Storage Technologies (12 papers) and Distributed and Parallel Computing Systems (11 papers). Salman Toor collaborates with scholars based in Sweden, Finland and United States. Salman Toor's co-authors include Andreas Hellander, Ola Spjuth, Sverker Holmgren, Sadi Alawadi, Addi Ait‐Mlouk, Marco Capuccini, Omar Javed, André Teixeira, Erwin Laure and Wesley Schaal and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Obstetrics and Gynecology and Expert Systems with Applications.

In The Last Decade

Salman Toor

34 papers receiving 212 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Salman Toor Sweden 10 89 89 72 34 31 39 216
Zhendong Bei China 10 163 1.8× 75 0.8× 172 2.4× 41 1.2× 20 0.6× 13 288
Saikat Mukherjee United States 10 47 0.5× 115 1.3× 122 1.7× 20 0.6× 15 0.5× 26 237
Thomas Kühn Germany 10 66 0.7× 175 2.0× 170 2.4× 32 0.9× 22 0.7× 41 306
Daniel Zügner Germany 7 51 0.6× 278 3.1× 58 0.8× 45 1.3× 8 0.3× 11 373
Judy Qiu United States 8 250 2.8× 74 0.8× 282 3.9× 96 2.8× 53 1.7× 14 440
Upulee Kanewala United States 9 72 0.8× 69 0.8× 182 2.5× 11 0.3× 57 1.8× 22 341
Mateusz Pawlik Austria 5 78 0.9× 147 1.7× 150 2.1× 16 0.5× 17 0.5× 8 307
Dag Hovland Norway 7 57 0.6× 135 1.5× 59 0.8× 14 0.4× 15 0.5× 15 177
Stephen Harris United Kingdom 9 184 2.1× 260 2.9× 179 2.5× 43 1.3× 76 2.5× 17 386

Countries citing papers authored by Salman Toor

Since Specialization
Citations

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

Fields of papers citing papers by Salman Toor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salman Toor

This figure shows the co-authorship network connecting the top 25 collaborators of Salman Toor. A scholar is included among the top collaborators of Salman Toor 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 Salman Toor. Salman Toor 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
1.
Alawadi, Sadi, Addi Ait‐Mlouk, Salman Toor, & Andreas Hellander. (2024). Toward efficient resource utilization at edge nodes in federated learning. Progress in Artificial Intelligence. 13(2). 101–117. 4 indexed citations
2.
Chaudhary, Neeraj, et al.. (2024). IMPACT OF SALT STRESS ON PLANT GROWTH AND APPROACHES FOR ENHANCED TOLERANCE. Biological and Clinical Sciences Research Journal. 2024(1). 1356–1356. 1 indexed citations
3.
Teixeira, André, et al.. (2024). GNN-IDS: Graph Neural Network based Intrusion Detection System. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–12. 11 indexed citations
4.
Li, Haoyuan & Salman Toor. (2024). Empowering Data Mesh with Federated Learning. TU/e Research Portal. 2340–2342. 1 indexed citations
5.
Reed, Martin J., et al.. (2023). Federated deep Q-learning networks for service-based anomaly detection and classification in edge-to-cloud ecosystems. Annals of Telecommunications. 79(3-4). 165–178.
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Ait‐Mlouk, Addi, Sadi Alawadi, Prashant Singh, et al.. (2022). Scalable federated machine learning with FEDn. 555–564. 27 indexed citations
10.
Toor, Salman, Håkan Wieslander, Philip J. Harrison, et al.. (2021). Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit. GigaScience. 10(3). 3 indexed citations
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12.
Capuccini, Marco, et al.. (2020). MaRe: Processing Big Data with application containers on Apache Spark. GigaScience. 9(5). 3 indexed citations
13.
Hellander, Andreas, et al.. (2018). Apache Spark Streaming and HarmonicIO: A Performance and Architecture Comparison.. arXiv (Cornell University). 1 indexed citations
14.
John, Aji, et al.. (2018). BAMSI: a multi-cloud service for scalable distributed filtering of massive genome data. BMC Bioinformatics. 19(1). 240–240. 3 indexed citations
15.
Capuccini, Marco, et al.. (2018). Efficient iterative virtual screening with Apache Spark and conformal prediction. Journal of Cheminformatics. 10(1). 8–8. 30 indexed citations
16.
Mahjani, Behrang, Salman Toor, Carl Nettelblad, & Sverker Holmgren. (2016). A Flexible Computational Framework Using R and Map-Reduce for Permutation Tests of Massive Genetic Analysis of Complex Traits. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14(2). 381–392. 1 indexed citations
17.
Toor, Salman, et al.. (2014). A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system. Journal of Physics Conference Series. 513(6). 62047–62047. 9 indexed citations
18.
Toor, Salman, et al.. (2013). Scientific Analysis by Queries in Extended SPARQL over a Scalable e-Science Data Store. 98–106. 5 indexed citations
19.
Toor, Salman, et al.. (2011). A Scalable Architecture for e-Science Data Management. 210–217. 2 indexed citations
20.
Toor, Salman, et al.. (2010). Chelonia — a self-healing storage cloud. American Journal of Obstetrics and Gynecology. 168(6 Pt 1). 5–12. 2 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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