Ghanshyam Verma
- Management Science and Operations Research top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Environmental Engineering
- Economics and Econometrics
- Co-authors
- Ratnadip AdhikariDietrich Rebholz‐SchuhmannNarendra KumawatAlokkumar JhaSunil KumarQaiser MehmoodRakesh KumarSourya Acharya
- Topics
- Rice Cultivation and Yield Improvement (4 papers)Genetics and Plant Breeding (4 papers)Wheat and Barley Genetics and Pathology (3 papers)
In The Last Decade
Ghanshyam Verma
14 papers receiving 250 citations
Peers
Comparison fields: 5 of 77
- Management Science and Operations Research 121
- Electrical and Electronic Engineering 113
- Artificial Intelligence 49
- Environmental Engineering 34
- Economics and Econometrics 26
Countries citing papers authored by Ghanshyam Verma
This map shows the geographic impact of Ghanshyam Verma'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 Ghanshyam Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghanshyam Verma more than expected).
Fields of papers citing papers by Ghanshyam Verma
This network shows the impact of papers produced by Ghanshyam Verma. 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 Ghanshyam Verma. The network helps show where Ghanshyam Verma may publish in the future.
Co-authorship network of co-authors of Ghanshyam Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Ghanshyam Verma. A scholar is included among the top collaborators of Ghanshyam Verma 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 Ghanshyam Verma. Ghanshyam Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 18 | |
| 12 | 203 | |
| 13 | Interrelationships for yield and component traits in rainfed upland rice | 2 |
| 14 | Genetic variation in promising rice genotypes for sodicity tolerance | 1 |
| 15 | Heterosis for yield components in rice hybrids (Oryza sativa) | 4 |
| 16 | Hybrid Vigour for Yield and Yield Components in Brinjal (Solanum Melongena L.) | 1 |
About Ghanshyam Verma
Ghanshyam Verma is a scholar working on Plant Science, Agronomy and Crop Science and Management Science and Operations Research, having authored 16 papers that have together received 267 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (4 papers), Genetics and Plant Breeding (4 papers) and Wheat and Barley Genetics and Pathology (3 papers). The work is most often cited by research in Management Science and Operations Research (121 citations), Environmental Engineering (34 citations) and Electrical and Electronic Engineering (113 citations). Ghanshyam Verma has collaborated with scholars based in India, Ireland and Germany. Frequent co-authors include Ratnadip Adhikari, Dietrich Rebholz‐Schuhmann, Narendra Kumawat, Alokkumar Jha, Sunil Kumar, Qaiser Mehmood, Rakesh Kumar, Sourya Acharya, Michael G. Madden and Karan Singh. Their work appears in journals such as BMC Bioinformatics, Information and The Indian Journal of Agricultural Sciences.
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.