Vikram Saraph
Impact in
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- Complex Network Analysis Techniques
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- Computational Drug Discovery Methods
Papers in
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- Distributed systems and fault tolerance 2
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- Bioinformatics and Genomic Networks 2
- Co-authors
- Tijana Milenković (2 shared papers)Vinodh P Vijayan (1 shared paper)Maurice Herlihy (3 shared papers)Jiyan Yang (1 shared paper)Brandon Lucia (1 shared paper)Bor-Yiing Su (1 shared paper)Kiwan Maeng (1 shared paper)Caroline Trippel (1 shared paper)
- Journals
- Bioinformatics (2 papers)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (2 papers)
- Partner nations
- United States
In The Last Decade
Vikram Saraph
5 papers receiving 243 citations
Peers
Comparison fields: 5 of 40
- Statistical and Nonlinear Physics 42
- Computational Theory and Mathematics 46
- Molecular Biology 176
- Aging 4
- Artificial Intelligence 41
Countries citing papers authored by Vikram Saraph
This map shows the geographic impact of Vikram Saraph'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 Saraph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Saraph more than expected).
Fields of papers citing papers by Vikram Saraph
This network shows the impact of papers produced by Vikram Saraph. 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 Saraph. The network helps show where Vikram Saraph may publish in the future.
Co-authors
The 11 scholars most cited alongside Vikram Saraph, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 122 | |
| 2 | 2015 | 102 | |
| 3 | 2019 | 17 | |
| 4 | Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery | 2021 | 6 |
| 5 | 2018 | 1 | |
| 6 | 2016 | 0 |
About Vikram Saraph
Vikram Saraph is a scholar working on Computer Networks and Communications, Molecular Biology, Artificial Intelligence, Management Information Systems and Information Systems, having authored 6 papers that have together received 248 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (2 papers), Bioinformatics and Genomic Networks (2 papers), Computability, Logic, AI Algorithms (1 paper), Auction Theory and Applications (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Complexity and Algorithms in Graphs (1 paper), Adversarial Robustness in Machine Learning (1 paper) and FinTech, Crowdfunding, Digital Finance (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (42 citations), Computational Theory and Mathematics (46 citations), Molecular Biology (176 citations), Aging (4 citations) and Artificial Intelligence (41 citations). Vikram Saraph has collaborated with scholars based in United States. Frequent co-authors include Tijana Milenković, Vinodh P Vijayan, Maurice Herlihy, Jiyan Yang, Brandon Lucia, Bor-Yiing Su, Kiwan Maeng, Caroline Trippel, Carole-Jean Wu and Mike Rabbat. Their work appears in journals such as Bioinformatics and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.