Dina M. Ibrahim

71 total papers · 762 total citations
47 papers, 464 citations indexed

About

Dina M. Ibrahim is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Dina M. Ibrahim has authored 47 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Ocean Engineering. Recurrent topics in Dina M. Ibrahim's work include Energy Efficient Wireless Sensor Networks (10 papers), Underwater Vehicles and Communication Systems (8 papers) and Water Quality Monitoring Technologies (5 papers). Dina M. Ibrahim is often cited by papers focused on Energy Efficient Wireless Sensor Networks (10 papers), Underwater Vehicles and Communication Systems (8 papers) and Water Quality Monitoring Technologies (5 papers). Dina M. Ibrahim collaborates with scholars based in Egypt, Saudi Arabia and United Kingdom. Dina M. Ibrahim's co-authors include Amal A. Al-Shargabi, Francisco Chiclana, Abdulbasit Almhafdy, Elsayed A. Sallam, Nada M. Elshennawy, Amany Sarhan, Mohamed Abdallah, Nawal El‐Fishawy, Mohamed Tharwat Elabbasy and Hanan Al‐Khalaifah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Dina M. Ibrahim

39 papers receiving 444 citations

Author Peers

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

Author						Papers	Cites
Dina M. Ibrahim	126	125	99	78	77	47	464
Alfred Daniel	144 1.1×	168 1.3×	93 0.9×	71 0.9×	120 1.6×	46	549
Nivin A. Ghamry	65 0.5×	116 0.9×	58 0.6×	65 0.8×	102 1.3×	36	534
Anam Nawaz Khan	49 0.4×	118 0.9×	48 0.5×	92 1.2×	102 1.3×	41	410
Atif Rizwan	46 0.4×	91 0.7×	64 0.6×	65 0.8×	158 2.1×	48	492
Eustace M. Dogo	72 0.6×	64 0.5×	80 0.8×	21 0.3×	128 1.7×	26	487
Anurag Sinha	93 0.7×	73 0.6×	84 0.8×	18 0.2×	73 0.9×	83	520
Vijender Kumar Solanki	141 1.1×	110 0.9×	59 0.6×	49 0.6×	125 1.6×	68	522
Amira Bibo Sallow	74 0.6×	64 0.5×	82 0.8×	23 0.3×	105 1.4×	45	524
Lyes Saad Saoud	39 0.3×	216 1.7×	68 0.7×	26 0.3×	118 1.5×	32	458
Saraswathy Shamini Gunasekaran	212 1.7×	133 1.1×	105 1.1×	16 0.2×	128 1.7×	52	535

Countries citing papers authored by Dina M. Ibrahim

Since Specialization

Citations

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

Fields of papers citing papers by Dina M. Ibrahim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dina M. Ibrahim. 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 Dina M. Ibrahim. The network helps show where Dina M. Ibrahim may publish in the future.

Co-authorship network of co-authors of Dina M. Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Dina M. Ibrahim. A scholar is included among the top collaborators of Dina M. Ibrahim 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 Dina M. Ibrahim. Dina M. Ibrahim 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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