Vikram Jha
Impact in
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- Finite Group Theory Research
- Family Practice top 2%
- Clinical Reasoning and Diagnostic Skills
Papers in
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- Finite Group Theory Research 54
-
- graph theory and CDMA systems 54
- Co-authors
- Trudie Roberts (8 shared papers)Hilary Bekker (4 shared papers)Norman L. Johnson (65 shared papers)Naomi Quinton (5 shared papers)Sean Duffy (8 shared papers)Michelle McLean (2 shared papers)John Sandars (2 shared papers)Trevor Gibbs (1 shared paper)
- Journals
- Medical Teacher (7 papers)Medical Education (5 papers)Discrete Mathematics (4 papers)Geometriae Dedicata (4 papers)Journal of Combinatorial Theory Series A (4 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Vikram Jha
86 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 115
- Discrete Mathematics and Combinatorics 223
- Family Practice 112
- Public Health, Environmental and Occupational Health 514
- General Health Professions 391
- Psychiatry and Mental health 208
Countries citing papers authored by Vikram Jha
This map shows the geographic impact of Vikram Jha'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 Vikram Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Jha more than expected).
Fields of papers citing papers by Vikram Jha
This network shows the impact of papers produced by Vikram Jha. 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 Vikram Jha. The network helps show where Vikram Jha may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikram Jha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 169 | |
| 2 | 2007 | 101 | |
| 3 | 2014 | 90 | |
| 4 | 2006 | 82 | |
| 5 | 2010 | 59 | |
| 6 | 2009 | 43 | |
| 7 | 2019 | 39 | |
| 8 | 2016 | 38 | |
| 9 | 2010 | 34 | |
| 10 | 2001 | 32 | |
| 11 | 2014 | 28 | |
| 12 | 1999 | 26 | |
| 13 | 2016 | 24 | |
| 14 | 2022 | 22 | |
| 15 | 2013 | 18 | |
| 16 | 2002 | 18 | |
| 17 | 1989 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2002 | 13 | |
| 20 | 2000 | 13 |
About Vikram Jha
Vikram Jha is a scholar working on Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering, Artificial Intelligence, Geometry and Topology and Public Health, Environmental and Occupational Health, having authored 105 papers that have together received 1.1k indexed citations. Recurring topics across this work include graph theory and CDMA systems (54 papers), Finite Group Theory Research (54 papers), Coding theory and cryptography (35 papers), Innovations in Medical Education (17 papers), Mathematics and Applications (12 papers), Empathy and Medical Education (7 papers), Geometric and Algebraic Topology (6 papers) and Perfectionism, Procrastination, Anxiety Studies (4 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (223 citations), Family Practice (112 citations), Public Health, Environmental and Occupational Health (514 citations), General Health Professions (391 citations) and Psychiatry and Mental health (208 citations). Vikram Jha has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Trudie Roberts, Hilary Bekker, Norman L. Johnson, Naomi Quinton, Sean Duffy, Michelle McLean, John Sandars, Trevor Gibbs, Bridget Young and Peter Fisher. Their work appears in journals such as Medical Teacher, Medical Education, Discrete Mathematics, Geometriae Dedicata and Journal of Combinatorial Theory Series A.
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.