Jahangir Mohammed

554 total citations
11 papers, 317 citations indexed

About

Jahangir Mohammed is a scholar working on Physiology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Jahangir Mohammed has authored 11 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Jahangir Mohammed's work include Diet and metabolism studies (3 papers), Cellular Automata and Applications (3 papers) and DNA and Biological Computing (2 papers). Jahangir Mohammed is often cited by papers focused on Diet and metabolism studies (3 papers), Cellular Automata and Applications (3 papers) and DNA and Biological Computing (2 papers). Jahangir Mohammed collaborates with scholars based in India, United States and France. Jahangir Mohammed's co-authors include Steven Skiena, Charles B. Ward, Paramesh Shamanna, Nathan L. Kleinman, Banshi Saboo, Deepak Ranjan Nayak, Mala Dharmalingam, Rakesh Sahay, Lisa Shah and Banshidhar Majhi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Endocrinology.

In The Last Decade

Jahangir Mohammed

11 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jahangir Mohammed India 8 55 50 40 36 35 11 317
Shan Chen China 12 8 0.1× 16 0.3× 14 0.3× 25 0.7× 44 1.3× 50 456
Astro Teller United States 10 8 0.1× 24 0.5× 9 0.2× 15 0.4× 42 1.2× 14 313
Anna Markella Antoniadi Ireland 9 6 0.1× 13 0.3× 18 0.5× 13 0.4× 24 0.7× 12 499
Sayash Kapoor United States 9 4 0.1× 26 0.5× 34 0.8× 30 0.8× 39 1.1× 15 435
Randi Karlsen Norway 9 3 0.1× 22 0.4× 82 2.0× 24 0.7× 29 0.8× 47 473
Erdenebileg Batbaatar South Korea 8 28 0.5× 10 0.2× 21 0.5× 19 0.5× 31 0.9× 16 325
Sune Holm Denmark 11 3 0.1× 18 0.4× 21 0.5× 48 1.3× 38 1.1× 36 310
Karina Vold United Kingdom 9 8 0.1× 13 0.3× 38 0.9× 119 3.3× 4 0.1× 15 428
Poonam Tanwar India 7 4 0.1× 3 0.1× 16 0.4× 36 1.0× 26 0.7× 49 230

Countries citing papers authored by Jahangir Mohammed

Since Specialization
Citations

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

Fields of papers citing papers by Jahangir Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jahangir Mohammed

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

All Works

11 of 11 papers shown
1.
Shamanna, Paramesh, et al.. (2024). Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control. Frontiers in Endocrinology. 15. 1485464–1485464. 13 indexed citations
2.
Dash, Ranjan Kumar, et al.. (2023). A Technical Analysis of Digital Image and Video Processing. IETE Technical Review. 41(4). 420–430. 2 indexed citations
3.
Shamanna, Paramesh, et al.. (2021). Retrospective study of glycemic variability, BMI, and blood pressure in diabetes patients in the Digital Twin Precision Treatment Program. Scientific Reports. 11(1). 14892–14892. 33 indexed citations
4.
Shamanna, Paramesh, Shashank Joshi, Lisa Shah, et al.. (2021). Type 2 diabetes reversal with digital twin technology-enabled precision nutrition and staging of reversal: a retrospective cohort study. SHILAP Revista de lepidopterología. 7(1). 21–21. 21 indexed citations
6.
Shamanna, Paramesh, et al.. (2020). Reducing HbA1c in Type 2 Diabetes Using Digital Twin Technology-Enabled Precision Nutrition: A Retrospective Analysis. Diabetes Therapy. 11(11). 2703–2714. 70 indexed citations
7.
Nayak, Deepak Ranjan, Ratnakar Dash, Banshidhar Majhi, & Jahangir Mohammed. (2016). Non-linear cellular automata based edge detector for optical character images. SIMULATION. 92(9). 849–859. 10 indexed citations
8.
Mohammed, Jahangir & Deepak Ranjan Nayak. (2014). An efficient edge detection technique by two dimensional rectangular cellular automata. 93. 1–4. 13 indexed citations
9.
Mohammed, Jahangir & Thomas Boudier. (2014). Classified region growing for 3D segmentation of packed nuclei. 842–845. 5 indexed citations
10.
Mohammed, Jahangir, et al.. (2013). A Cellular Automata based Optimal Edge Detection Technique using Twenty-Five Neighborhood Model. International Journal of Computer Applications. 84(10). 27–33. 18 indexed citations
11.
Ward, Charles B., et al.. (2009). Name-ethnicity classification from open sources. 49–58. 131 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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