K.T. Pollack
Impact in
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- Advanced Data Storage Technologies
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Peer-to-Peer Network Technologies
- Distributed systems and fault tolerance
- Information Systems top 5%
- Cloud Data Security Solutions
- Cloud Computing and Resource Management
Papers in
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- Advanced Data Storage Technologies 8
- Caching and Content Delivery 6
- Distributed systems and fault tolerance 2
- Software System Performance and Reliability 1
- Distributed and Parallel Computing Systems 1
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- Cloud Data Security Solutions 2
- Cloud Computing and Resource Management 1
- Co-authors
- Darrell D. E. Long (4 shared papers)Ethan L. Miller (2 shared papers)Scott Brandt (2 shared papers)Simone Weil (1 shared paper)Deepavali Bhagwat (1 shared paper)T.J.E. Schwarz (1 shared paper)J.-F. Paris (1 shared paper)K. Gopinath (1 shared paper)
- Journals
- ACM Transactions on Storage (1 paper)eScholarship (California Digital Library) (3 papers)
- Partner nations
- United StatesIndia
In The Last Decade
K.T. Pollack
8 papers receiving 367 citations
Peers
Comparison fields: 5 of 23
- Computer Networks and Communications 357
- Information Systems 204
- Hardware and Architecture 26
- Artificial Intelligence 57
- Management Science and Operations Research 9
Countries citing papers authored by K.T. Pollack
This map shows the geographic impact of K.T. Pollack'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 K.T. Pollack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.T. Pollack more than expected).
Fields of papers citing papers by K.T. Pollack
This network shows the impact of papers produced by K.T. Pollack. 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 K.T. Pollack. The network helps show where K.T. Pollack may publish in the future.
Co-authors
The 12 scholars most cited alongside K.T. Pollack, 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 | 2005 | 169 | |
| 2 | 2005 | 119 | |
| 3 | 2006 | 58 | |
| 4 | 2011 | 19 | |
| 5 | 2007 | 9 | |
| 6 | 2006 | 8 | |
| 7 | 2007 | 5 | |
| 8 | 2005 | 3 |
About K.T. Pollack
K.T. Pollack is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 390 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (8 papers), Caching and Content Delivery (6 papers), Cloud Data Security Solutions (2 papers), Distributed systems and fault tolerance (2 papers), Algorithms and Data Compression (2 papers), Software System Performance and Reliability (1 paper), Cloud Computing and Resource Management (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Computer Networks and Communications (357 citations), Information Systems (204 citations), Hardware and Architecture (26 citations), Artificial Intelligence (57 citations) and Management Science and Operations Research (9 citations). K.T. Pollack has collaborated with scholars based in United States and India. Frequent co-authors include Darrell D. E. Long, Ethan L. Miller, Scott Brandt, Simone Weil, Deepavali Bhagwat, T.J.E. Schwarz, J.-F. Paris, K. Gopinath, Sandeep Uttamchandani and R. Becker-Szendy. Their work appears in journals such as ACM Transactions on Storage and eScholarship (California Digital Library).
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.