H Ikram

1.0k total citations
3 papers, 4 citations indexed

About

H Ikram is a scholar working on Signal Processing, Clinical Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, H Ikram has authored 3 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Signal Processing, 1 paper in Clinical Psychology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in H Ikram's work include Graph Theory and Algorithms (1 paper), Data Management and Algorithms (1 paper) and Health and Well-being Studies (1 paper). H Ikram is often cited by papers focused on Graph Theory and Algorithms (1 paper), Data Management and Algorithms (1 paper) and Health and Well-being Studies (1 paper). H Ikram collaborates with scholars based in United States. H Ikram's co-authors include B P Bliss, A. R. Makey, Daniel Anderson, Guy E. Blelloch and Armaan Jamal and has published in prestigious journals such as BMJ and Medical Science.

In The Last Decade

H Ikram

1 paper receiving 4 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H Ikram United States	1	2	2	1	1	1	3	4
Paolo Pennati Italy	3	3 1.5×	2 1.0×				8	7
Gabriela S. Carnero Argentina	2	2 1.0×	2 1.0×				4	5
Neil Mitchard United Kingdom	2	3 1.5×	2 1.0×				2	4
Elisa Scala Australia	3	2 1.0×	2 1.0×				3	7
Menno Huisman Netherlands	2	3 1.5×	2 1.0×				4	5
D. Wolinski United States	1	2 1.0×					3	4
М Е Можейко	2	2 1.0×					3	3
Shahab Uddin Talukder India	2	2 1.0×	1 0.5×				3	3
А. Н. Багликов Russia	2	2 1.0×	1 0.5×				3	3
Ana Belén García Soto Spain	2	2 1.0×	1 0.5×				2	3

Countries citing papers authored by H Ikram

Since Specialization

Citations

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

Fields of papers citing papers by H Ikram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Ikram

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

All Works

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3 of 3 papers shown

1.

Ikram, H, et al.. (2025). Parallel Batch Queries on Dynamic Trees: Algorithms and Experiments. 525–539.

2.

Jamal, Armaan, et al.. (2024). Prevalence of poor sleep quality among adults in Jeddah, Saudi Arabia. Medical Science. 28(153). 1–8.

3.

Ikram, H, A. R. Makey, & B P Bliss. (1969). Origin of the Third Heart Sound. BMJ. 3(5667). 413.4–413. 4 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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