G. Jacob

16 papers receiving 347 citations

Peers

G. Jacob
Comparison fields: 5 of 85
  • Gastroenterology 55
  • Computer Vision and Pattern Recognition 100
  • Radiology, Nuclear Medicine and Imaging 104
  • Cardiology and Cardiovascular Medicine 86
  • Analytical Chemistry 21
Replace Valerio Guarrasi with:
Valerio Guarrasi Italy
Maja Sohlin Sweden
John W. Allison United States
Junpeng Zhou China
Jung In Kim United States
İbrahi̇m Karabayir United States
V. González Fernández Spain
Raviraja V Acharya India
George Hatzakis Canada
G. Jacob relative to Valerio Guarrasi Italy Valerio Guarrasi's profile →
Citations per field
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Valerio Guarrasi · 1×
Citations per year

Countries citing papers authored by G. Jacob

Since Specialization
Citations

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

Fields of papers citing papers by G. Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Jacob, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Jacob Line = papers co-authored together G. Jacob links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002104
2 199543
3 199942
4 200236
5 201429
6 200125
7 197824
8 201114
9 201011
10 19829
11 20108
12 20126
13 20113
14 20122
15
Determination of vitamin A in vanaspati by high pressure liquid chromatographic method using U.V. detector.
19901
16 20021
17 20250

About G. Jacob

G. Jacob is a scholar working on Gastroenterology, Computer Vision and Pattern Recognition, Molecular Biology, Epidemiology and Artificial Intelligence, having authored 17 papers that have together received 358 indexed citations. Recurring topics across this work include Gastrointestinal motility and disorders (4 papers), Medical Image Segmentation Techniques (3 papers), Diet, Metabolism, and Disease (1 paper), Child Nutrition and Feeding Issues (1 paper), Inflammation biomarkers and pathways (1 paper), Medical Imaging Techniques and Applications (1 paper), Hydrocarbon exploration and reservoir analysis (1 paper) and Natural product bioactivities and synthesis (1 paper). The work is most often cited by research in Gastroenterology (55 citations), Computer Vision and Pattern Recognition (100 citations), Radiology, Nuclear Medicine and Imaging (104 citations), Cardiology and Cardiovascular Medicine (86 citations) and Analytical Chemistry (21 citations). G. Jacob has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include J. Alison Noble, Andrew Kelion, Adrian Banning, Christian Behrenbruch, R. W. Darrell, Andrew Blake, Kunwar Shailubhai, John A. Foss, Gillian Lawson and R.P. Oda. Their work appears in journals such as The American Journal of Gastroenterology, IEEE Transactions on Medical Imaging, Carbohydrate Research, Inflammatory Bowel Diseases and Antiviral chemistry & chemotherapy.

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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