Sumit Goyal

49 papers receiving 479 citations

Peers

Sumit Goyal
Comparison fields: 5 of 95
  • Analytical Chemistry 251
  • Animal Science and Zoology 135
  • Food Science 114
  • Information Systems 139
  • Computer Networks and Communications 102
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Antonio Bahamonde Spain
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Citations per year

Countries citing papers authored by Sumit Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Sumit Goyal, 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 Sumit Goyal Line = papers co-authored together Sumit Goyal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014162
2
Application of artificial neural engineering and regression models for forecasting shelf life of instant coffee drink
201135
3 201132
4
Simulated Neural Network Intelligent Computing Models for Predicting Shelf Life of Soft Cakes
201130
5
A New Scientific Approach of Intelligent Artificial Neural Network Engineering for Predicting Shelf Life of Milky White Dessert Jeweled with Pistachio
201127
6
Advanced Computing Research on Cascade Single and Double Hidden Layers for Detecting Shelf Life of Kalakand: An Artificial Neural Network Approach
201126
7 201323
8
Radial Basis Artificial Neural Network Computer Engineering Methodology for Predicting Shelf Life of Brown Milk Cakes Decorated with Almonds
201116
9 201416
10 201515
11 201214
12 201913
13 201211
14 201210
15
Software as a Service, Platform as a Service, Infrastructure as a Service − A Review
201310
16 20139
17 20139
18 20129
19 20138
20
Time-Delay Artificial Neural Network Computing Models for Predicting Shelf Life of Processed Cheese
20127

About Sumit Goyal

Sumit Goyal is a scholar working on Analytical Chemistry, Biomedical Engineering, Animal Science and Zoology, Food Science and Nutrition and Dietetics, having authored 54 papers that have together received 616 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (31 papers), Advanced Chemical Sensor Technologies (17 papers), Meat and Animal Product Quality (15 papers), Sensory Analysis and Statistical Methods (7 papers), Food Science and Nutritional Studies (6 papers), Agricultural Economics and Practices (5 papers), Freezing and Crystallization Processes (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Analytical Chemistry (251 citations), Animal Science and Zoology (135 citations), Food Science (114 citations), Information Systems (139 citations) and Computer Networks and Communications (102 citations). Sumit Goyal has collaborated with scholars based in India. Frequent co-authors include Rakesh Kumar Sharma, Richa Sharma, Jolly Puri and Ash Narayan Sah. Their work appears in journals such as Critical Reviews in Food Science and Nutrition, International Journal of Modern Education and Computer Science, International Journal of Intelligent Systems and Applications, International Journal of Interactive Multimedia and Artificial Intelligence and International Journal of Electrical and Computer Engineering (IJECE).

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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