Mohammad R. Eissa

641 total citations · 1 hit paper
8 papers, 400 citations indexed

About

Mohammad R. Eissa is a scholar working on Endocrinology, Diabetes and Metabolism, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mohammad R. Eissa has authored 8 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Artificial Intelligence and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mohammad R. Eissa's work include Diabetes Management and Research (5 papers), ECG Monitoring and Analysis (2 papers) and Machine Learning in Healthcare (2 papers). Mohammad R. Eissa is often cited by papers focused on Diabetes Management and Research (5 papers), ECG Monitoring and Analysis (2 papers) and Machine Learning in Healthcare (2 papers). Mohammad R. Eissa collaborates with scholars based in United Kingdom, Malaysia and Iraq. Mohammad R. Eissa's co-authors include Khaled A. Al-Utaibi, Nor Kamariah Noordin, Marwah Abdulrazzaq Naser, Sadiq H. Abdulhussain, Muntadher Alsabah, Basheera M. Mahmmod, Sadiq M. Sait, Mohammed Benaissa, Tim Good and Daisy Elliott and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Talanta.

In The Last Decade

Mohammad R. Eissa

8 papers receiving 382 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.

6G Wireless Communications Networks: A Comprehensive Survey

2021 310 citations Muntadher Alsabah, Marwah Abdulrazzaq Naser et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad R. Eissa United Kingdom	7	253	81	68	47	43	8	400
Aswathy K Nair India	10	68 0.3×	59 0.7×	41 0.6×	33 0.7×	24 0.6×	29	282
R. Kalidoss India	12	199 0.8×	111 1.4×	100 1.5×	49 1.0×	7 0.2×	30	350
Huimei Han China	13	312 1.2×	100 1.2×	167 2.5×	75 1.6×	7 0.2×	31	482
Mohammed Fattah Morocco	13	257 1.0×	118 1.5×	151 2.2×	36 0.8×	5 0.1×	70	448
Ahmed S. Elkorany Egypt	11	124 0.5×	126 1.6×	33 0.5×	145 3.1×	11 0.3×	43	416
Marco Gomes Portugal	12	408 1.6×	65 0.8×	212 3.1×	52 1.1×	2 0.0×	85	504
Yunfeng Peng China	11	193 0.8×	14 0.2×	75 1.1×	40 0.9×	3 0.1×	71	319
Tulshi Bezboruah India	9	112 0.4×	14 0.2×	105 1.5×	20 0.4×	8 0.2×	73	319
Ahmed H. Abd El‐Malek Egypt	12	498 2.0×	137 1.7×	201 3.0×	22 0.5×	2 0.0×	90	582

Countries citing papers authored by Mohammad R. Eissa

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad R. Eissa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad R. Eissa. 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 Mohammad R. Eissa. The network helps show where Mohammad R. Eissa may publish in the future.

Co-authorship network of co-authors of Mohammad R. Eissa

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad R. Eissa. A scholar is included among the top collaborators of Mohammad R. Eissa 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 Mohammad R. Eissa. Mohammad R. Eissa 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.

Eissa, Mohammad R., et al.. (2023). Automatic inference of hypoglycemia causes in type 1 diabetes: a feasibility study. SHILAP Revista de lepidopterología. 4. 1095859–1095859. 3 indexed citations

2.

Eissa, Mohammad R., et al.. (2022). COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework. Computers in Biology and Medicine. 144. 105361–105361. 18 indexed citations

3.

Eissa, Mohammad R., Mohammed Benaissa, Tim Good, et al.. (2022). Analysis of real‐world capillary blood glucose data to help reduce HbA_1c and hypoglycaemia in type 1 diabetes: Evidence in favour of using the percentage of readings in target and coefficient of variation. Diabetic Medicine. 40(2). e14972–e14972. 7 indexed citations

4.

Alsabah, Muntadher, Marwah Abdulrazzaq Naser, Basheera M. Mahmmod, et al.. (2021). 6G Wireless Communications Networks: A Comprehensive Survey. IEEE Access. 9. 148191–148243. 310 indexed citations breakdown →

5.

Eissa, Mohammad R., et al.. (2020). Classification before regression for improving the accuracy of glucose quantification using absorption spectroscopy. Talanta. 211. 120740–120740. 10 indexed citations

6.

Eissa, Mohammad R., et al.. (2020). A deep neural network application for improved prediction of HbA1c in type 1 diabetes. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 9 indexed citations

7.

Eissa, Mohammad R., et al.. (2020). A Deep Neural Network Application for Improved Prediction of $\text{HbA}_{\text{1c}}$ in Type 1 Diabetes. IEEE Journal of Biomedical and Health Informatics. 24(10). 2932–2941. 36 indexed citations

8.

Eissa, Mohammad R., Tim Good, Jackie Elliott, & Mohammed Benaissa. (2020). Intelligent Data-Driven Model for Diabetes Diurnal Patterns Analysis. IEEE Journal of Biomedical and Health Informatics. 24(10). 2984–2992. 7 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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