Richard S. Segall

429 citations
49 papers · 204 indexed · h-index 8
Topics
Data Mining Algorithms and Applications (5 papers)Healthcare Operations and Scheduling Optimization (5 papers)Evolutionary Algorithms and Applications (4 papers)

In The Last Decade

Richard S. Segall

40 papers receiving 183 citations

Peers

Richard S. Segall
Comparison fields: 5 of 80
  • Information Systems 72
  • Artificial Intelligence 49
  • Computer Networks and Communications 25
  • Organizational Behavior and Human Resource Management 22
  • Marketing 15
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Countries citing papers authored by Richard S. Segall

Since Specialization
Citations

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

Fields of papers citing papers by Richard S. Segall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard S. Segall. 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 Richard S. Segall. The network helps show where Richard S. Segall may publish in the future.

Co-authorship network of co-authors of Richard S. Segall

This figure shows the co-authorship network connecting the top 25 collaborators of Richard S. Segall. A scholar is included among the top collaborators of Richard S. Segall 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 Richard S. Segall. Richard S. Segall 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 1
2 0
3 1
4 0
5
Forecasting of a Technology Using Quantitative Satellite Lifetime Data
0
6 3
7 4
8
Statistical Quality Control and Improvement of Waste Water Treatment Plant
1
9 3
10
Disease Named Entity Recognition Using Conditional Random Fields.
0
11
Computational Dimensionalities of Global Supercomputing
4
12
Multi-SOM: an Algorithm for High-Dimensional, Small Size Datasets
2
13
Statistical Quality Control of Microarray Gene Expression Data
0
14
Web Mining of Hotel Customer Survey Data
3
15 10
16 1
17 1
18 3
19 3
20 7

About Richard S. Segall

Richard S. Segall is a scholar working on Health Informatics, Emergency Medical Services and Transportation, having authored 49 papers that have together received 204 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Healthcare Operations and Scheduling Optimization (5 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Information Systems (72 citations), Health Informatics (4 citations) and Organizational Behavior and Human Resource Management (22 citations). Richard S. Segall has collaborated with scholars based in United States, Pakistan and Italy. Frequent co-authors include Qingyu Zhang, Daniel Berleant, Arthur H. Copeland, Sarath A. Nonis, Berrien Moore, Majid Jaraiedi, Hidayat Ur Rahman, Md. Sahidul Islam, Shigeru Takahashi and Ankush Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the Operational Research Society and Journal of the Association for Information Systems.

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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