Vikram Saraph
Impact in
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- Computational Drug Discovery Methods
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- Complex Network Analysis Techniques
Papers in
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- Distributed systems and fault tolerance 2
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- Bioinformatics and Genomic Networks 2
- Gene Regulatory Network Analysis 2
- Co-authors
- Tijana Milenković (2 shared papers)Maurice Herlihy (3 shared papers)Kiwan Maeng (1 shared paper)Bor-Yiing Su (1 shared paper)Jiyan Yang (1 shared paper)Mike Rabbat (1 shared paper)Carole-Jean Wu (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 239 citations
Peers
Comparison fields: 5 of 39
- Computational Theory and Mathematics 68
- Statistical and Nonlinear Physics 47
- Molecular Biology 187
- Aging 4
- Artificial Intelligence 42
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 10 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 | 120 | |
| 2 | 2015 | 101 | |
| 3 | 2019 | 16 | |
| 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 244 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene Regulatory Network Analysis (2 papers), Complex Network Analysis Techniques (1 paper), Logic, programming, and type systems (1 paper), FinTech, Crowdfunding, Digital Finance (1 paper), Logic, Reasoning, and Knowledge (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Computational Theory and Mathematics (68 citations), Statistical and Nonlinear Physics (47 citations), Molecular Biology (187 citations), Aging (4 citations) and Artificial Intelligence (42 citations). Vikram Saraph has collaborated with scholars based in United States. Frequent co-authors include Tijana Milenković, Maurice Herlihy, Kiwan Maeng, Bor-Yiing Su, Jiyan Yang, Mike Rabbat, Carole-Jean Wu, Caroline Trippel, Brandon Lucia and Eli Gafni. 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.