Ibrahim Emam

1.6k total citations
8 papers, 252 citations indexed

About

Ibrahim Emam is a scholar working on Molecular Biology, Information Systems and Information Systems and Management. According to data from OpenAlex, Ibrahim Emam has authored 8 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Information Systems and 2 papers in Information Systems and Management. Recurrent topics in Ibrahim Emam's work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (5 papers) and Biomedical Text Mining and Ontologies (3 papers). Ibrahim Emam is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (5 papers) and Biomedical Text Mining and Ontologies (3 papers). Ibrahim Emam collaborates with scholars based in United Kingdom, Italy and Germany. Ibrahim Emam's co-authors include Eleanor Williams, Gabriella Rustici, James Malone, Alvis Brāzma, Misha Kapushesky, Helen Parkinson, Ele Holloway, Shicai Wang, David Johnson and Ioannis Pandis and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Ibrahim Emam

7 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ibrahim Emam United Kingdom	4	195	36	28	19	18	8	252
Andrian Yang Australia	9	224 1.1×	26 0.7×	11 0.4×	20 1.1×	40 2.2×	14	281
Aditya Bharadwaj United States	6	428 2.2×	20 0.6×	33 1.2×	30 1.6×	22 1.2×	17	508
Alida Palmisano United States	9	268 1.4×	35 1.0×	24 0.9×	39 2.1×	17 0.9×	32	371
Maria Krestyaninova United Kingdom	7	292 1.5×	39 1.1×	30 1.1×	24 1.3×	9 0.5×	9	351
Liang‐Tsung Huang Taiwan	11	293 1.5×	45 1.3×	40 1.4×	16 0.8×	5 0.3×	25	373
Raunaq Malhotra United States	6	104 0.5×	17 0.5×	10 0.4×	45 2.4×	27 1.5×	13	147
William Broomall United States	8	217 1.1×	50 1.4×	20 0.7×	9 0.5×	5 0.3×	13	327
Emmanouil Viennas Greece	8	106 0.5×	87 2.4×	12 0.4×	23 1.2×	6 0.3×	19	449
Borisas Bursteinas United Kingdom	5	135 0.7×	19 0.5×	13 0.5×	15 0.8×	5 0.3×	8	167
Marco Donizelli United Kingdom	4	370 1.9×	16 0.4×	16 0.6×	10 0.5×	12 0.7×	8	445

Countries citing papers authored by Ibrahim Emam

Since Specialization

Citations

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

Fields of papers citing papers by Ibrahim Emam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ibrahim Emam

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

All Works

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8 of 8 papers shown

1.

Emam, Ibrahim, Stelios Pavlidis, Philippe Rocca‐Serra, et al.. (2019). PlatformTM, a standards-based data custodianship platform for translational medicine research. Scientific Data. 6(1). 149–149. 3 indexed citations

2.

Guitton, Florian, et al.. (2018). A Multi Tenant Computational Platform for Translational Medicine. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1553–1556.

3.

Wang, Shicai, Ioannis Pandis, David Johnson, et al.. (2014). Optimising parallel R correlation matrix calculations on gene expression data using MapReduce. BMC Bioinformatics. 15(1). 351–351. 16 indexed citations

4.

Wang, Shicai, Ioannis Pandis, Chao Wu, et al.. (2014). High dimensional biological data retrieval optimization with NoSQL technology. BMC Genomics. 15(S8). S3–S3. 47 indexed citations

5.

Dalby, Andrew, Ibrahim Emam, & Raimo Franke. (2012). Analysis of Gene Expression Data from Non-Small Cell Lung Carcinoma Cell Lines Reveals Distinct Sub-Classes from Those Identified at the Phenotype Level. PLoS ONE. 7(11). e50253–e50253. 2 indexed citations

6.

Emam, Ibrahim, et al.. (2012). Feature Selection for Cancer Classification: An SVM based Approach. 46(8). 20–26. 6 indexed citations

7.

Kapushesky, Misha, Ibrahim Emam, Ele Holloway, et al.. (2009). Gene Expression Atlas at the European Bioinformatics Institute. Nucleic Acids Research. 38(suppl_1). D690–D698. 176 indexed citations

8.

El‐Shishiny, Hisham, Taysir Hassan A. Soliman, & Ibrahim Emam. (2006). Mining Drug Targets: The Challenges and a Proposed Framework. 17. 239–245. 2 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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