Sajid Alam

2.5k total citations
7 papers, 9 citations indexed

About

Sajid Alam is a scholar working on Computer Networks and Communications, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Sajid Alam has authored 7 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 2 papers in Artificial Intelligence and 1 paper in Condensed Matter Physics. Recurrent topics in Sajid Alam's work include Service-Oriented Architecture and Web Services (1 paper), Integrated Energy Systems Optimization (1 paper) and Catalysts for Methane Reforming (1 paper). Sajid Alam is often cited by papers focused on Service-Oriented Architecture and Web Services (1 paper), Integrated Energy Systems Optimization (1 paper) and Catalysts for Methane Reforming (1 paper). Sajid Alam collaborates with scholars based in South Korea, Oman and United States. Sajid Alam's co-authors include Wang‐Cheol Song, Muhammad Afaq, Tahir Ali Khan, Nian Liu, Kyle E. Miller and Talha Ahmed Khan and has published in prestigious journals such as IEEE Access, Frontiers in Cell and Developmental Biology and Journal of Network and Systems Management.

In The Last Decade

Sajid Alam

5 papers receiving 9 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sajid Alam South Korea 3 4 3 2 1 1 7 9
Xiang Chang China 3 4 1.0× 2 0.7× 2 1.0× 8 10
M. Wang China 2 4 1.0× 2 0.7× 2 1.0× 7 6
Juan Luis Cano Germany 2 2 0.5× 4 1.3× 2 1.0× 1 1.0× 2 11
O. Gogota Ukraine 2 3 0.8× 2 0.7× 1 0.5× 4 5
Valérie Mousset Malaysia 2 2 0.5× 2 0.7× 3 1.5× 1 1.0× 3 4
Y. T. Feng China 2 2 0.5× 3 1.0× 1 0.5× 6 5
Yusuke Awane Japan 2 2 0.5× 2 0.7× 4 6
V. Nikitina Germany 2 2 0.5× 2 0.7× 1 1.0× 2 4
Y. F. Han China 3 4 1.0× 2 1.0× 5 10
J. S. Huang China 3 4 1.0× 1 0.3× 2 1.0× 7 9

Countries citing papers authored by Sajid Alam

Since Specialization
Citations

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

Fields of papers citing papers by Sajid Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sajid Alam

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

All Works

7 of 7 papers shown
2.
Alam, Sajid, et al.. (2024). Assuring Efficient Path Selection in an Intent-Based Networking System: A Graph Neural Networks and Deep Reinforcement Learning Approach. Journal of Network and Systems Management. 32(2). 1 indexed citations
4.
Alam, Sajid, et al.. (2024). A simple active fluid model unites cytokinesis, cell crawling, and axonal outgrowth. Frontiers in Cell and Developmental Biology. 12. 1491429–1491429.
5.
Alam, Sajid, et al.. (2024). Correction: Assuring Efficient Path Selection in an IntentBased Networking System: a Graph Neural Networks and Deep Reinforcement Learning Approach. Journal of Network and Systems Management. 32(3). 1 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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