Daniel Cociorva
Impact in
- Computational Mathematics top 2%
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Parallel Computing and Optimization Techniques 10
- Spectroscopy 21
- Advanced Proteomics Techniques and Applications 16
- Mass Spectrometry Techniques and Applications 16
- Advanced NMR Techniques and Applications 4
- Co-authors
- John R. YatesRovshan G. SadygovJohn D. VenableTao XuDavid L. TabbLujian LiaoPaulo C. CarvalhoEmily I. Chen
- Journals
- Journal of Proteome Research (4 papers)Analytical Chemistry (3 papers)Nature Methods (2 papers)Bioinformatics (2 papers)PROTEOMICS (2 papers)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Daniel Cociorva
32 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 133
- Computational Mathematics 56
- Aging 167
- Spectroscopy 1.2k
- Hardware and Architecture 227
- Molecular Biology 1.7k
Countries citing papers authored by Daniel Cociorva
This map shows the geographic impact of Daniel Cociorva'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 Daniel Cociorva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cociorva more than expected).
Fields of papers citing papers by Daniel Cociorva
This network shows the impact of papers produced by Daniel Cociorva. 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 Daniel Cociorva. The network helps show where Daniel Cociorva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Cociorva, 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 | 2024 | 16 | |
| 2 | 2015 | 353 | |
| 3 | 2013 | 14 | |
| 4 | 2012 | 37 | |
| 5 | 2012 | 106 | |
| 6 | 2011 | 37 | |
| 7 | 2010 | 11 | |
| 8 | 2009 | 67 | |
| 9 | 2009 | 35 | |
| 10 | 2008 | 50 | |
| 11 | 2007 | 266 | |
| 12 | 2006 | 101 | |
| 13 | 2006 | 24 | |
| 14 | 2004 | 296 | |
| 15 | 2004 | 306 | |
| 16 | 2002 | 30 | |
| 17 | 2002 | 32 | |
| 18 | 2002 | 1 | |
| 19 | 2001 | 19 | |
| 20 | Performance Optimization of a Class of Loops Involving Sums of Products of Sparse Arrays. | 1999 | 2 |
About Daniel Cociorva
Daniel Cociorva is a scholar working on Hardware and Architecture, Spectroscopy, Aging, Computer Networks and Communications and Molecular Biology, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (16 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Parallel Computing and Optimization Techniques (10 papers), Advanced NMR Techniques and Applications (4 papers), Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (3 papers) and Matrix Theory and Algorithms (3 papers). The work is most often cited by research in Computational Mathematics (56 citations), Aging (167 citations), Spectroscopy (1.2k citations), Hardware and Architecture (227 citations) and Molecular Biology (1.7k citations). Daniel Cociorva has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include John R. Yates, Rovshan G. Sadygov, John D. Venable, Tao Xu, David L. Tabb, Lujian Liao, Paulo C. Carvalho, Emily I. Chen, Jeremy L. Norris and Valmir C. Barbosa. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, Nature Methods, Bioinformatics and PROTEOMICS.
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.