Dipendra Jha
- Materials Chemistry top 10%
- Computational Theory and Mathematics top 5%
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Mechanics of Materials
- Co-authors
- Ankit AgrawalWei‐keng LiaoAlok ChoudharyLogan WardArindam PaulChris WolvertonFrancesca TavazzaCarelyn E. Campbell
- Topics
- Machine Learning in Materials Science (9 papers)X-ray Diffraction in Crystallography (6 papers)Electronic and Structural Properties of Oxides (3 papers)
- Partner nations
- United StatesCanadaPhilippines
In The Last Decade
Dipendra Jha
12 papers receiving 867 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Materials Chemistry 645
- Computational Theory and Mathematics 171
- Mechanical Engineering 171
- Electrical and Electronic Engineering 104
- Mechanics of Materials 87
Countries citing papers authored by Dipendra Jha
This map shows the geographic impact of Dipendra 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 Dipendra Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipendra Jha more than expected).
Fields of papers citing papers by Dipendra Jha
This network shows the impact of papers produced by Dipendra 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 Dipendra Jha. The network helps show where Dipendra Jha may publish in the future.
Co-authorship network of co-authors of Dipendra Jha
This figure shows the co-authorship network connecting the top 25 collaborators of Dipendra Jha. A scholar is included among the top collaborators of Dipendra Jha 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 Dipendra Jha. Dipendra Jha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 20 | |
| 3 | 48 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 237 | |
| 7 | 10 | |
| 8 | 48 | |
| 9 | ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Compositionbreakdown → | 334 |
| 10 | 148 | |
| 11 | 27 | |
| 12 | 1 |
About Dipendra Jha
Dipendra Jha is a scholar working on Metals and Alloys, Materials Chemistry and Media Technology, having authored 12 papers that have together received 888 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), X-ray Diffraction in Crystallography (6 papers) and Electronic and Structural Properties of Oxides (3 papers). The work is most often cited by research in Metals and Alloys (54 citations), Materials Chemistry (645 citations) and Computational Theory and Mathematics (171 citations). Dipendra Jha has collaborated with scholars based in United States, Canada and Philippines. Frequent co-authors include Ankit Agrawal, Wei‐keng Liao, Alok Choudhary, Logan Ward, Arindam Paul, Chris Wolverton, Alok Choudhary, Francesca Tavazza, Carelyn E. Campbell and Kamal Choudhary. Their work appears in journals such as Nature Communications, Acta Materialia and Scientific Reports.
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.