Turab Iqbal

35 total papers · 1.7k total citations
11 papers, 819 citations indexed

About

Turab Iqbal is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Turab Iqbal has authored 11 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Turab Iqbal's work include Music and Audio Processing (10 papers), Speech and Audio Processing (7 papers) and Music Technology and Sound Studies (4 papers). Turab Iqbal is often cited by papers focused on Music and Audio Processing (10 papers), Speech and Audio Processing (7 papers) and Music Technology and Sound Studies (4 papers). Turab Iqbal collaborates with scholars based in United Kingdom, United States and China. Turab Iqbal's co-authors include Wenwu Wang, Qiuqiang Kong, Mark D. Plumbley, Yin Cao, Yuxuan Wang, Yong Xu, Fengyan An, Xubo Liu, Yong Xu and Arvindh Krishnaswamy and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Surrey Research Insight Open Access (The University of Surrey) and View.

In The Last Decade

Turab Iqbal

11 papers receiving 794 citations

Hit Papers

PANNs: Large-Scale Pretra... 2020 2026 2022 2024 2020 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Turab Iqbal 615 320 272 61 53 11 819
Selina Chu 716 1.2× 235 0.7× 218 0.8× 136 2.2× 59 1.1× 16 874
Christopher Jacoby 647 1.1× 237 0.7× 178 0.7× 149 2.4× 79 1.5× 4 775
Emre Çakır 619 1.0× 268 0.8× 196 0.7× 100 1.6× 61 1.2× 11 725
Dimitrios Giannoulis 872 1.4× 444 1.4× 212 0.8× 105 1.7× 119 2.2× 18 991
Bo Li 555 0.9× 143 0.4× 613 2.3× 29 0.5× 55 1.0× 29 1.0k
Yin Cao 684 1.1× 268 0.8× 265 1.0× 57 0.9× 88 1.7× 38 1.0k
Eric J. Humphrey 765 1.2× 446 1.4× 223 0.8× 28 0.5× 131 2.5× 25 853
Jürgen T. Geiger 537 0.9× 279 0.9× 438 1.6× 33 0.5× 42 0.8× 35 892
Yuxuan Wang 468 0.8× 224 0.7× 308 1.1× 20 0.3× 135 2.5× 32 748
Mark Dolson 475 0.8× 250 0.8× 102 0.4× 16 0.3× 267 5.0× 19 714

Countries citing papers authored by Turab Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Turab Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Turab Iqbal

This figure shows the co-authorship network connecting the top 25 collaborators of Turab Iqbal. A scholar is included among the top collaborators of Turab Iqbal 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 Turab Iqbal. Turab Iqbal 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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