Alan L. Tharp
Impact in
- Computer Science Applications top 10%
- Teaching and Learning Programming
- Artificial Intelligence top 10%
- Algorithms and Data Compression
- Natural Language Processing Techniques
Papers in
-
- Algorithms and Data Compression 19
- Natural Language Processing Techniques 4
-
- Advanced Database Systems and Queries 6
- Caching and Content Delivery 4
- Co-authors
- Richard Holcomb (4 shared papers)Kuo‐Chung Tai (4 shared papers)Joseph W. Baker (2 shared papers)Gerald L. Bachman (2 shared papers)Jeffrey W. Smith (2 shared papers)David N. Cox (1 shared paper)
- Journals
- Information Systems (6 papers)Software Practice and Experience (3 papers)Journal of Medicinal Chemistry (2 papers)Information Processing & Management (2 papers)Interacting with Computers (1 paper)
- Partner nations
- United States
In The Last Decade
Alan L. Tharp
45 papers receiving 221 citations
Peers
Comparison fields: 5 of 67
- Computer Science Applications 43
- Artificial Intelligence 145
- Hardware and Architecture 29
- Signal Processing 30
- Information Systems 61
Countries citing papers authored by Alan L. Tharp
This map shows the geographic impact of Alan L. Tharp'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 Alan L. Tharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan L. Tharp more than expected).
Fields of papers citing papers by Alan L. Tharp
This network shows the impact of papers produced by Alan L. Tharp. 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 Alan L. Tharp. The network helps show where Alan L. Tharp may publish in the future.
Co-authors
The 6 scholars most cited alongside Alan L. Tharp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1977 | 28 | |
| 2 | File organization and processing | 1988 | 24 |
| 3 | 1991 | 20 | |
| 4 | 1967 | 18 | |
| 5 | 1982 | 14 | |
| 6 | 1994 | 10 | |
| 7 | 1989 | 10 | |
| 8 | 2006 | 10 | |
| 9 | 1990 | 9 | |
| 10 | 1983 | 7 | |
| 11 | Using relational operators to structure long-term memory | 1969 | 7 |
| 12 | 1981 | 7 | |
| 13 | 1982 | 6 | |
| 14 | 2006 | 6 | |
| 15 | 1983 | 6 | |
| 16 | 1982 | 6 | |
| 17 | 1991 | 5 | |
| 18 | 1988 | 5 | |
| 19 | 1973 | 5 | |
| 20 | 2003 | 5 |
About Alan L. Tharp
Alan L. Tharp is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Molecular Biology and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 259 indexed citations. Recurring topics across this work include Algorithms and Data Compression (19 papers), Teaching and Learning Programming (7 papers), Advanced Database Systems and Queries (6 papers), DNA and Biological Computing (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Network Packet Processing and Optimization (4 papers), Natural Language Processing Techniques (4 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computer Science Applications (43 citations), Artificial Intelligence (145 citations), Hardware and Architecture (29 citations), Signal Processing (30 citations) and Information Systems (61 citations). Alan L. Tharp has collaborated with scholars based in United States. Frequent co-authors include Richard Holcomb, Kuo‐Chung Tai, Joseph W. Baker, Gerald L. Bachman, Jeffrey W. Smith and David N. Cox. Their work appears in journals such as Information Systems, Software Practice and Experience, Journal of Medicinal Chemistry, Information Processing & Management and Interacting with Computers.
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.