Qamar Askari

1.0k total citations · 2 hit papers
6 papers, 787 citations indexed

About

Qamar Askari is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Qamar Askari has authored 6 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Management Science and Operations Research. Recurrent topics in Qamar Askari's work include Metaheuristic Optimization Algorithms Research (6 papers), Scheduling and Timetabling Solutions (2 papers) and Complexity and Algorithms in Graphs (1 paper). Qamar Askari is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Scheduling and Timetabling Solutions (2 papers) and Complexity and Algorithms in Graphs (1 paper). Qamar Askari collaborates with scholars based in Pakistan. Qamar Askari's co-authors include Irfan Younas and Mehreen Saeed and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Soft Computing.

In The Last Decade

Qamar Askari

6 papers receiving 751 citations

Hit Papers

align trajectories

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.

Political Optimizer: A novel socio-inspired meta-heuristic for global optimization

2020 447 citations Qamar Askari, Irfan Younas et al. Knowledge-Based Systems profile →
Heap-based optimizer inspired by corporate rank hierarchy for global optimization

2020 297 citations Qamar Askari, Mehreen Saeed et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qamar Askari Pakistan	5	531	245	165	119	80	6	787
Kedar Nath Das India	18	490 0.9×	314 1.3×	186 1.1×	127 1.1×	72 0.9×	54	872
Juliano Pierezan Brazil	9	400 0.8×	171 0.7×	220 1.3×	151 1.3×	96 1.2×	11	810
Yiying Zhang China	16	686 1.3×	263 1.1×	228 1.4×	158 1.3×	107 1.3×	23	1.1k
Tiebin Wu China	9	656 1.2×	204 0.8×	200 1.2×	120 1.0×	67 0.8×	16	885
Mehreen Saeed Pakistan	9	705 1.3×	257 1.0×	160 1.0×	124 1.0×	166 2.1×	26	1.1k
Anima Naik India	12	428 0.8×	210 0.9×	147 0.9×	79 0.7×	83 1.0×	25	705
Zeinab Montazeri Iran	16	641 1.2×	306 1.2×	240 1.5×	159 1.3×	107 1.3×	18	1.1k
Weian Guo China	14	309 0.6×	213 0.9×	216 1.3×	148 1.2×	66 0.8×	50	724
Ali Khater Mohamed Egypt	9	690 1.3×	371 1.5×	135 0.8×	99 0.8×	98 1.2×	12	940
Fengyu Zhou China	7	425 0.8×	172 0.7×	105 0.6×	140 1.2×	98 1.2×	8	634

Countries citing papers authored by Qamar Askari

Since Specialization

Citations

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

Fields of papers citing papers by Qamar Askari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qamar Askari

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Askari, Qamar & Irfan Younas. (2021). Political Optimizer Based Feedforward Neural Network for Classification and Function Approximation. Neural Processing Letters. 53(1). 429–458. 18 indexed citations

2.

Askari, Qamar & Irfan Younas. (2021). Improved political optimizer for complex landscapes and engineering optimization problems. Expert Systems with Applications. 182. 115178–115178. 16 indexed citations

3.

Askari, Qamar, Irfan Younas, & Mehreen Saeed. (2021). Emphasizing the importance of shift invariance in metaheuristics by using whale optimization algorithm as a test bed. Soft Computing. 25(22). 14209–14225. 4 indexed citations

4.

Askari, Qamar, Irfan Younas, & Mehreen Saeed. (2020). Critical evaluation of sine cosine algorithm and a few recommendations. 319–320. 5 indexed citations

5.

Askari, Qamar, Mehreen Saeed, & Irfan Younas. (2020). Heap-based optimizer inspired by corporate rank hierarchy for global optimization. Expert Systems with Applications. 161. 113702–113702. 297 indexed citations breakdown →

6.

Askari, Qamar, Irfan Younas, & Mehreen Saeed. (2020). Political Optimizer: A novel socio-inspired meta-heuristic for global optimization. Knowledge-Based Systems. 195. 105709–105709. 447 indexed citations breakdown →

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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