Tim Malkemus
Impact in
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Advanced Database Systems and Queries 7
- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 1
- Distributed systems and fault tolerance 1
- Peer-to-Peer Network Technologies 1
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- Data Management and Algorithms 4
- Co-authors
- Bishwaranjan Bhattacharjee (5 shared papers)Ramesh K. Agarwal (1 shared paper)Sandosh Padmanabhan (1 shared paper)Anant Jhingran (1 shared paper)J. Leenstra (1 shared paper)Richard Sidle (1 shared paper)D R Sharpe (1 shared paper)Sam Lightstone (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (1 paper)Very Large Data Bases (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Tim Malkemus
6 papers receiving 293 citations
Peers
Comparison fields: 5 of 17
- Computer Networks and Communications 289
- Signal Processing 119
- Hardware and Architecture 55
- Information Systems 118
- Artificial Intelligence 78
Countries citing papers authored by Tim Malkemus
This map shows the geographic impact of Tim Malkemus'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 Tim Malkemus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Malkemus more than expected).
Fields of papers citing papers by Tim Malkemus
This network shows the impact of papers produced by Tim Malkemus. 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 Tim Malkemus. The network helps show where Tim Malkemus may publish in the future.
Co-authors
The 22 scholars most cited alongside Tim Malkemus, 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 | 2013 | 185 | |
| 2 | 2002 | 52 | |
| 3 | 2003 | 37 | |
| 4 | 2007 | 24 | |
| 5 | Increasing buffer-locality for multiple index based scans through intelligent placement and index scan speed control | 2007 | 12 |
| 6 | 2005 | 8 | |
| 7 | 2007 | 0 |
About Tim Malkemus
Tim Malkemus is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Infectious Diseases, having authored 7 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Data Management and Algorithms (4 papers), Advanced Data Storage Technologies (3 papers), Algorithms and Data Compression (2 papers), Cloud Computing and Resource Management (1 paper), Distributed and Parallel Computing Systems (1 paper), Distributed systems and fault tolerance (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Computer Networks and Communications (289 citations), Signal Processing (119 citations), Hardware and Architecture (55 citations), Information Systems (118 citations) and Artificial Intelligence (78 citations). Tim Malkemus has collaborated with scholars based in United States and Canada. Frequent co-authors include Bishwaranjan Bhattacharjee, Ramesh K. Agarwal, Sandosh Padmanabhan, Anant Jhingran, J. Leenstra, Richard Sidle, D R Sharpe, Sam Lightstone, Rene Mueller and Gopi K. Attaluri. Their work appears in journals such as Proceedings of the VLDB Endowment and Very Large Data Bases.
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.