Mohd Iqbal Bhat
- Molecular Biology
- Food Science top 10%
- Physiology
- Nutrition and Dietetics
- Computational Theory and Mathematics top 10%
- Co-authors
- Rajeev KapilaSuman KapilaK.R. KazmiRajesh BajajMrinal SamtiyaNaveen KumarR.C. LakheraVinod K. Singh
- Topics
- Optimization and Variational Analysis (7 papers)Gut microbiota and health (7 papers)Contact Mechanics and Variational Inequalities (5 papers)
- Partner nations
- IndiaSouth Korea
In The Last Decade
Mohd Iqbal Bhat
22 papers receiving 490 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 306
- Food Science 144
- Physiology 88
- Nutrition and Dietetics 78
- Computational Theory and Mathematics 75
Countries citing papers authored by Mohd Iqbal Bhat
This map shows the geographic impact of Mohd Iqbal Bhat'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 Mohd Iqbal Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohd Iqbal Bhat more than expected).
Fields of papers citing papers by Mohd Iqbal Bhat
This network shows the impact of papers produced by Mohd Iqbal Bhat. 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 Mohd Iqbal Bhat. The network helps show where Mohd Iqbal Bhat may publish in the future.
Co-authorship network of co-authors of Mohd Iqbal Bhat
This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Iqbal Bhat. A scholar is included among the top collaborators of Mohd Iqbal Bhat 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 Mohd Iqbal Bhat. Mohd Iqbal Bhat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 23 | |
| 5 | 39 | |
| 6 | 18 | |
| 7 | 22 | |
| 8 | 41 | |
| 9 | 19 | |
| 10 | 23 | |
| 11 | 23 | |
| 12 | GENERALIZED VARIATIONAL-LIKE INCLUSION PROBLEM INVOLVING $(H(.,.),\ETA)$-MONOTONE OPERATORS IN BANACH SPACES | 1 |
| 13 | (H(·,·), η)-MONOTONE OPERATOR WITH AN APPLICATION TO A SYSTEM OF SET-VALUED VARIATIONAL-LIKE INCLUSIONS IN BANACH SPACES | 1 |
| 14 | 159 | |
| 15 | 2 | |
| 16 | IMPORTANCE OF ELECTRONIC THESES AND DISSERTATIONS (ETD,S) ON INTERNET: A SURVEY OF INDIAN ETD REPOSITORY SHODGANGA | 1 |
| 17 | 15 | |
| 18 | 5 | |
| 19 | 34 | |
| 20 | 23 |
About Mohd Iqbal Bhat
Mohd Iqbal Bhat is a scholar working on Numerical Analysis, Geometry and Topology and Computational Theory and Mathematics, having authored 22 papers that have together received 497 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (7 papers), Gut microbiota and health (7 papers) and Contact Mechanics and Variational Inequalities (5 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Food Science (144 citations) and Numerical Analysis (31 citations). Mohd Iqbal Bhat has collaborated with scholars based in India and South Korea. Frequent co-authors include Rajeev Kapila, Suman Kapila, K.R. Kazmi, Rajesh Bajaj, Mrinal Samtiya, Naveen Kumar, R.C. Lakhera, Vinod K. Singh, V. C. Thakur and P. K. Champati Ray. Their work appears in journals such as LWT, Nutrition Reviews and The Journal of Nutritional Biochemistry.
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.