Mohammed Ali Shaik

83 total papers · 632 total citations
35 papers, 285 citations indexed

About

Mohammed Ali Shaik is a scholar working on Biomedical Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mohammed Ali Shaik has authored 35 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 10 papers in Computer Networks and Communications and 10 papers in Artificial Intelligence. Recurrent topics in Mohammed Ali Shaik's work include Intravenous Infusion Technology and Safety (10 papers), Smart Systems and Machine Learning (5 papers) and Artificial Intelligence in Healthcare (4 papers). Mohammed Ali Shaik is often cited by papers focused on Intravenous Infusion Technology and Safety (10 papers), Smart Systems and Machine Learning (5 papers) and Artificial Intelligence in Healthcare (4 papers). Mohammed Ali Shaik collaborates with scholars based in India and Oman. Mohammed Ali Shaik's co-authors include Prashanth Baskaran, Geetha Manoharan, Sallauddin Mohmmad, Bonthala Prabhanjan Yadav, Kommabatla Mahender, Shabana Shabana, Ravi Kiran, T. Sampath Kumar, Dadi Ramesh and D. Kothandaraman and has published in prestigious journals such as IEEE Access, 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) and IOP Conference Series Materials Science and Engineering.

In The Last Decade

Mohammed Ali Shaik

24 papers receiving 163 citations

Author Peers

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

Author						Papers	Cites
Mohammed Ali Shaik	106	66	53	52	46	35	285
Farnaz Farid	28 0.3×	92 1.4×	69 1.3×	31 0.6×	22 0.5×	24	248
Krishnamoorthi Makkithaya	29 0.3×	100 1.5×	75 1.4×	28 0.5×	41 0.9×	35	331
Sallauddin Mohmmad	59 0.6×	42 0.6×	44 0.8×	37 0.7×	13 0.3×	35	217
S. Ravikumar	29 0.3×	83 1.3×	66 1.2×	43 0.8×	12 0.3×	25	309
D. Kothandaraman	88 0.8×	52 0.8×	36 0.7×	53 1.0×	7 0.2×	31	209
T Devi.	26 0.2×	36 0.5×	58 1.1×	14 0.3×	46 1.0×	50	267
Sheshikala Martha	82 0.8×	63 1.0×	64 1.2×	43 0.8×	7 0.2×	24	205
Ioana Marcu	22 0.2×	145 2.2×	60 1.1×	100 1.9×	63 1.4×	40	329
Surendran Rajendran	15 0.1×	95 1.4×	71 1.3×	37 0.7×	15 0.3×	30	315
Fahd S. Alharithi	16 0.2×	89 1.3×	94 1.8×	27 0.5×	35 0.8×	23	320

Countries citing papers authored by Mohammed Ali Shaik

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Ali Shaik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed Ali Shaik. 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 Mohammed Ali Shaik. The network helps show where Mohammed Ali Shaik may publish in the future.

Co-authorship network of co-authors of Mohammed Ali Shaik

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Ali Shaik. A scholar is included among the top collaborators of Mohammed Ali Shaik 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 Mohammed Ali Shaik. Mohammed Ali Shaik 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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