Abdullahi Umar Ibrahim

936 total citations · 1 hit paper
32 papers, 583 citations indexed

About

Abdullahi Umar Ibrahim is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Abdullahi Umar Ibrahim has authored 32 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Abdullahi Umar Ibrahim's work include COVID-19 diagnosis using AI (9 papers), Advanced biosensing and bioanalysis techniques (8 papers) and CRISPR and Genetic Engineering (6 papers). Abdullahi Umar Ibrahim is often cited by papers focused on COVID-19 diagnosis using AI (9 papers), Advanced biosensing and bioanalysis techniques (8 papers) and CRISPR and Genetic Engineering (6 papers). Abdullahi Umar Ibrahim collaborates with scholars based in Cyprus, Indonesia and Türkiye. Abdullahi Umar Ibrahim's co-authors include Mehmet Özsöz, Fadi Al‐Turjman, Sertan Serte, Polycarp Shizawaliyi Yakoi, Yeni Wahyuni Hartati, Irkham Irkham, Fadi Al‐Turjman, Zubaida Said Ameen, Ari Hardianto and Ninie Suhana Abdul Manan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Clinica Chimica Acta.

In The Last Decade

Abdullahi Umar Ibrahim

29 papers receiving 553 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.

Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19

2021 241 citations Abdullahi Umar Ibrahim, Mehmet Özsöz et al. Cognitive Computation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abdullahi Umar Ibrahim Cyprus	13	266	164	159	115	63	32	583
Xufei Wang China	13	70 0.3×	137 0.8×	135 0.8×	55 0.5×	30 0.5×	50	555
Cong Fang China	10	180 0.7×	69 0.4×	17 0.1×	90 0.8×	121 1.9×	16	455
Noorul Wahab Egypt	11	239 0.9×	323 2.0×	72 0.5×	46 0.4×	22 0.3×	17	563
Joana Morgado Portugal	10	117 0.4×	80 0.5×	26 0.2×	16 0.1×	51 0.8×	15	354
Mohammad Asadur Rahman Bangladesh	5	147 0.6×	119 0.7×	71 0.4×	40 0.3×	6 0.1×	11	338
Mubarak Taiwo Mustapha Cyprus	11	145 0.5×	134 0.8×	27 0.2×	38 0.3×	27 0.4×	22	412
Liming Wang China	8	149 0.6×	63 0.4×	72 0.5×	27 0.2×	8 0.1×	16	460
Ruhan Liu China	10	290 1.1×	124 0.8×	136 0.9×	61 0.5×	4 0.1×	29	756
Abolfazl Zargari Khuzani United States	6	400 1.5×	296 1.8×	22 0.1×	19 0.2×	20 0.3×	13	503
Md. Abdul Based Bangladesh	9	131 0.5×	104 0.6×	63 0.4×	143 1.2×	12 0.2×	22	453

Countries citing papers authored by Abdullahi Umar Ibrahim

Since Specialization

Citations

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

Fields of papers citing papers by Abdullahi Umar Ibrahim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullahi Umar Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullahi Umar Ibrahim. A scholar is included among the top collaborators of Abdullahi Umar 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 Abdullahi Umar Ibrahim. Abdullahi Umar 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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20 of 20 papers shown

Hartati, Yeni Wahyuni, et al.. (2025). Advanced aptamer-based sensors for monitoring theophylline. Clinica Chimica Acta. 571. 120200–120200. 2 indexed citations

Farman, Muhammad, et al.. (2025). MODELING AND STABILITY ANALYSIS OF NEUROLOGICAL DISORDER UNDER ALZHEIMER’S DISEASE WITH NOVEL FRACTIONAL TECHNIQUE. Fractals. 34(2).

Ibrahim, Abdullahi Umar, et al.. (2025). Nano-modified biosensors for detection of pathogenic diseases: The prospect of smart, multiplex and point-of-care testing. ADMET & DMPK. 13(4). 2799–2799. 1 indexed citations

Gaffar, Shabarni, Santhy Wyantuti, Yeni Wahyuni Hartati, et al.. (2025). Advances in nucleic acid-based detection of dengue virus: From RT-PCR to CRISPR biosensing technologies. Sensing and Bio-Sensing Research. 50. 100908–100908.

Ibrahim, Abdullahi Umar, et al.. (2025). Artificial intelligent-powered detection of breast cancer. Journal of Radiation Research and Applied Sciences. 18(2). 101422–101422.

Ibrahim, Abdullahi Umar, et al.. (2025). I-BrainNet: Deep Learning and Internet of Things (DL/IoT)–Based Framework for the Classification of Brain Tumor. Journal of Imaging Informatics in Medicine. 38(6). 3806–3822. 1 indexed citations

Irkham, Irkham, et al.. (2024). From nanotechnology to AI: The next generation of CRISPR-based smart biosensors for infectious disease detection. Microchemical Journal. 208. 112577–112577. 3 indexed citations

Wyantuti, Santhy, et al.. (2024). Recent advances in rapid and reliable biosensors for detection of porcine gelatine. International Journal of Food Science & Technology. 59(10). 7716–7726. 2 indexed citations

Ibrahim, Abdullahi Umar, et al.. (2024). The role of artificial intelligence and IoT in prediction of earthquakes: Review. SHILAP Revista de lepidopterología. 5. 100075–100075. 13 indexed citations

10.

Aşır, Süleyman, et al.. (2024). Optimizing Drug Delivery Vehicle with Multi-Criteria Decision Making (MCDM) - Based Excipient Selection. Jordan Journal of Pharmaceutical Sciences. 17(1). 55–67. 3 indexed citations

11.

Alotaibi, Badr Saad, et al.. (2024). Assimilation of 3D printing, Artificial Intelligence (AI) and Internet of Things (IoT) for the construction of eco-friendly intelligent homes: An explorative review. Heliyon. 10(17). e36846–e36846. 19 indexed citations

12.

Hartati, Yeni Wahyuni, et al.. (2024). Multidrug-resistant tuberculosis. Clinica Chimica Acta. 559. 119701–119701. 19 indexed citations

13.

Ibrahim, Abdullahi Umar, et al.. (2024). Advancements in synthesis of Molecularly Imprinted Polymer (MIPs) for highly selective alcohol sensors. Sensing and Bio-Sensing Research. 47. 100729–100729. 11 indexed citations

14.

Ibrahim, Abdullahi Umar, et al.. (2024). Classification of H. pylori Infection from Histopathological Images Using Deep Learning. Journal of Imaging Informatics in Medicine. 37(3). 1177–1186. 6 indexed citations

15.

Irkham, Irkham, et al.. (2023). CRISPR/Cas12-based electrochemical biosensors for clinical diagnostic and food monitoring. Bioelectrochemistry. 155. 108600–108600. 23 indexed citations

16.

Ibrahim, Abdullahi Umar, et al.. (2023). Computer-aided Detection of Tuberculosis from Microbiological and Radiographic Images. Data Intelligence. 5(4). 1008–1032. 5 indexed citations

17.

Hardianto, Ari, et al.. (2023). Recent development of electrochemical and optical aptasensors for detection of antibiotics in food monitoring applications. Journal of Food Composition and Analysis. 124. 105644–105644. 21 indexed citations

18.

Irkham, Irkham, et al.. (2022). Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review. Sensors. 23(1). 426–426. 19 indexed citations

19.

Ibrahim, Abdullahi Umar, et al.. (2021). Automated detection of Mycobacterium tuberculosis using transfer learning. The Journal of Infection in Developing Countries. 15(5). 678–686. 19 indexed citations

20.

Ibrahim, Abdullahi Umar, Mehmet Özsöz, Sertan Serte, Fadi Al‐Turjman, & Polycarp Shizawaliyi Yakoi. (2021). Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19. Cognitive Computation. 16(4). 1589–1601. 241 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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