Richard S. Segall

429 total citations
49 papers, 204 citations indexed

About

Richard S. Segall is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Richard S. Segall has authored 49 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Molecular Biology. Recurrent topics in Richard S. Segall's work include Data Mining Algorithms and Applications (5 papers), Healthcare Operations and Scheduling Optimization (5 papers) and Evolutionary Algorithms and Applications (4 papers). Richard S. Segall is often cited by papers focused on Data Mining Algorithms and Applications (5 papers), Healthcare Operations and Scheduling Optimization (5 papers) and Evolutionary Algorithms and Applications (4 papers). Richard S. Segall collaborates with scholars based in United States, Pakistan and Italy. Richard S. Segall's co-authors include Qingyu Zhang, Daniel Berleant, Berrien Moore, Arthur H. Copeland, Sarath A. Nonis, Majid Jaraiedi, Hidayat Ur Rahman, Ankush Sharma, Md. Sahidul Islam and Lu Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Operational Research Society and Journal of the Association for Information Systems.

In The Last Decade

Richard S. Segall

40 papers receiving 183 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard S. Segall United States 8 72 49 25 22 15 49 204
Yukun Cheng China 8 62 0.9× 30 0.6× 68 2.7× 31 1.4× 13 0.9× 34 238
Pramod Patil India 6 60 0.8× 107 2.2× 29 1.2× 6 0.3× 11 0.7× 19 210
Mary E. Helander United States 11 202 2.8× 42 0.9× 58 2.3× 41 1.9× 12 0.8× 25 378
Basma Alharbi Saudi Arabia 8 25 0.3× 148 3.0× 34 1.4× 8 0.4× 12 0.8× 21 250
Stefanos Katsavounis Greece 11 62 0.9× 41 0.8× 76 3.0× 15 0.7× 7 0.5× 32 286
Ke Deng Australia 10 104 1.4× 128 2.6× 23 0.9× 20 0.9× 60 4.0× 29 323
Yen‐Hsien Lee Taiwan 9 90 1.3× 159 3.2× 20 0.8× 6 0.3× 19 1.3× 30 302
Jun Ye China 9 106 1.5× 123 2.5× 55 2.2× 28 1.3× 18 1.2× 59 263
Ni Juan China 8 116 1.6× 129 2.6× 44 1.8× 4 0.2× 7 0.5× 13 296

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
1.
Segall, Richard S., et al.. (2024). A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence. 148–156. 1 indexed citations
2.
3.
Berleant, Daniel, et al.. (2023). Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods. International Journal of Innovation and Technology Management. 20(4). 10 indexed citations
4.
Segall, Richard S., et al.. (2023). Data Visualization of Big Data for Predictive and Descriptive Analytics for Stroke, COVID-19, and Diabetes. 8(1). 1–31. 1 indexed citations
5.
Segall, Richard S., et al.. (2021). Forecasting of a Technology Using Quantitative Satellite Lifetime Data. SHILAP Revista de lepidopterología.
6.
Segall, Richard S., et al.. (2021). A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities. Bryant Digital Repository (Bryant University). 12(1). 1–20. 3 indexed citations
7.
Segall, Richard S., et al.. (2020). Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities. Bryant Digital Repository (Bryant University). 1 indexed citations
8.
Segall, Richard S., et al.. (2016). Statistical Quality Control and Improvement of Waste Water Treatment Plant. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Rahman, Hidayat Ur, Richard S. Segall, Ankush Sharma, et al.. (2016). Remote Access Programs to Better Integrate Individuals with Disabilities. 245–250. 3 indexed citations
10.
Segall, Richard S.. (2013). Computational Dimensionalities of Global Supercomputing. SHILAP Revista de lepidopterología. 4 indexed citations
11.
Segall, Richard S., et al.. (2013). Multi-SOM: an Algorithm for High-Dimensional, Small Size Datasets. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Shen, Lu & Richard S. Segall. (2011). Statistical Quality Control of Microarray Gene Expression Data. SHILAP Revista de lepidopterología.
13.
Segall, Richard S. & Qingyu Zhang. (2008). Web Mining of Hotel Customer Survey Data. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Segall, Richard S.. (2000). Some quantitative methods for determining capacities and locations of military emergency medical facilities. Applied Mathematical Modelling. 24(5-6). 365–389. 8 indexed citations
15.
Segall, Richard S., et al.. (1998). A Survey of the Use of Telecommunications and Distance Learning in Medical Informatics Programs. Journal of the Association for Information Systems. 1 indexed citations
16.
Segall, Richard S.. (1995). Mathematical modelling of spatial price equilibrium for multicommodity consumer flows of large markets using variational inequalities. Applied Mathematical Modelling. 19(2). 112–122. 1 indexed citations
17.
Segall, Richard S.. (1995). Some mathematical and computer modelling of neural networks. Applied Mathematical Modelling. 19(7). 386–399. 10 indexed citations
18.
Copeland, Arthur H., et al.. (1993). Mathematical modelling of singular value decomposition problems for oceans. Applied Mathematical Modelling. 17(10). 536–546. 1 indexed citations
19.
Segall, Richard S.. (1990). Using branch-and-bound to solve bi-level geometric programming problems: A new optimization model. Applied Mathematical Modelling. 14(5). 271–274. 3 indexed citations
20.
Segall, Richard S.. (1988). Mathematical modelling for the capacity planning of market oriented systems: with an application to real health data. Applied Mathematical Modelling. 12(4). 366–378. 7 indexed citations

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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