S. M. K. Quadri

102 total papers · 1.2k total citations
73 papers, 733 citations indexed

About

S. M. K. Quadri is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, S. M. K. Quadri has authored 73 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 21 papers in Information Systems and 20 papers in Computer Networks and Communications. Recurrent topics in S. M. K. Quadri's work include Software Reliability and Analysis Research (19 papers), Reliability and Maintenance Optimization (10 papers) and Software Testing and Debugging Techniques (8 papers). S. M. K. Quadri is often cited by papers focused on Software Reliability and Analysis Research (19 papers), Reliability and Maintenance Optimization (10 papers) and Software Testing and Debugging Techniques (8 papers). S. M. K. Quadri collaborates with scholars based in India, Saudi Arabia and Fiji. S. M. K. Quadri's co-authors include N. Ahmad, Saba Banday, Asif Iqbal Khan, Junaid Latief Shah, Wasim Ahmad Bhat, M. G. M. Khan, Mohammad Ubaidullah Bokhari, Kaiser J. Giri, Majid Zaman and Firdous Ahmad and has published in prestigious journals such as Scientific Reports, IEEE Access and Computers and Electronics in Agriculture.

In The Last Decade

S. M. K. Quadri

69 papers receiving 672 citations

Hit Papers

Deep diagnosis: A real-ti... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. M. K. Quadri 219 192 140 138 114 73 733
Pradeep Kumar Bhatia 288 1.3× 211 1.1× 47 0.3× 22 0.2× 195 1.7× 63 878
Derek Partridge 118 0.5× 43 0.2× 8 0.1× 14 0.1× 434 3.8× 71 799
Μanos Roumeliotis 213 1.0× 105 0.5× 82 0.6× 6 0.0× 103 0.9× 61 694
Max Bramer 210 1.0× 19 0.1× 15 0.1× 12 0.1× 477 4.2× 78 888
Xin Zhou 247 1.1× 42 0.2× 46 0.3× 9 0.1× 235 2.1× 49 697
Jon G. Hall 549 2.5× 188 1.0× 8 0.1× 45 0.3× 541 4.7× 105 902
Omar Barukab 45 0.2× 23 0.1× 7 0.1× 16 0.1× 129 1.1× 53 718
Jinqiu Yang 550 2.5× 349 1.8× 19 0.1× 9 0.1× 277 2.4× 43 884
Ming Tan 403 1.8× 244 1.3× 16 0.1× 5 0.0× 437 3.8× 43 878
Mohammad Nadeem 191 0.9× 21 0.1× 20 0.1× 9 0.1× 186 1.6× 61 749

Countries citing papers authored by S. M. K. Quadri

Since Specialization
Citations

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

Fields of papers citing papers by S. M. K. Quadri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. M. K. Quadri. 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 S. M. K. Quadri. The network helps show where S. M. K. Quadri may publish in the future.

Co-authorship network of co-authors of S. M. K. Quadri

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

All Works

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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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