Stephen F. Weiss

512 citations
21 papers · 325 indexed · h-index 9
Topics
Algorithms and Data Compression (5 papers)Data Management and Algorithms (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)

In The Last Decade

Stephen F. Weiss

21 papers receiving 263 citations

Peers

Stephen F. Weiss
Comparison fields: 5 of 53
  • Artificial Intelligence 207
  • Information Systems 67
  • Human-Computer Interaction 62
  • Computer Vision and Pattern Recognition 39
  • Computer Networks and Communications 29
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Countries citing papers authored by Stephen F. Weiss

Since Specialization
Citations

This map shows the geographic impact of Stephen F. Weiss'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 Stephen F. Weiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen F. Weiss more than expected).

Fields of papers citing papers by Stephen F. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen F. Weiss. 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 Stephen F. Weiss. The network helps show where Stephen F. Weiss may publish in the future.

Co-authorship network of co-authors of Stephen F. Weiss

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen F. Weiss. A scholar is included among the top collaborators of Stephen F. Weiss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen F. Weiss. Stephen F. Weiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 6
3 1
4 23
5
MICROARRAS: An Advanced Full-Text Retrieval and Analysis System.
7
6 42
7 3
8 25
9 5
10 17
11 8
12
A word-based compression technique for text files
2
13 8
14 114
15 35
16 4
17
A template approach to natural language analysis for information retrieval
1
18
A QUANTITATIVE EVALUATION OF MAJOR FACTORS INFLUENCING URBAN LAND DEVELOPMENT IN A REGIONAL CLUSTER
3
19
SHORT-RANGE RESIDENTIAL FORECASTS FOR TESTING PUBLIC POLICY
2
20
SOME INPUT REFINEMENTS FOR A RESIDENTIAL MODEL
7

About Stephen F. Weiss

Stephen F. Weiss is a scholar working on Human-Computer Interaction, Software and Signal Processing, having authored 21 papers that have together received 325 indexed citations. Recurring topics across this work include Algorithms and Data Compression (5 papers), Data Management and Algorithms (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (62 citations), Artificial Intelligence (207 citations) and Development (11 citations). Stephen F. Weiss has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include John B. Smith, Caroline M. Eastman, Jay David Bolter, Marcy Lansman, F. Stuart Chapin, Edward J. Kaiser, Donald F. Stanat, George Ferguson, Jared B. Smith and Mark E. Frisse. Their work appears in journals such as Communications of the ACM, Information Systems and ACM SIGIR Forum.

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.

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