Stephen P. Curram

475 total citations
9 papers, 360 citations indexed

About

Stephen P. Curram is a scholar working on Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Stephen P. Curram has authored 9 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 2 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Stephen P. Curram's work include Efficiency Analysis Using DEA (3 papers), Energy Load and Power Forecasting (2 papers) and Neural Networks and Applications (2 papers). Stephen P. Curram is often cited by papers focused on Efficiency Analysis Using DEA (3 papers), Energy Load and Power Forecasting (2 papers) and Neural Networks and Applications (2 papers). Stephen P. Curram collaborates with scholars based in United Kingdom. Stephen P. Curram's co-authors include Antreas D. Athanassopoulos, John Mingers and Estelle Shale and has published in prestigious journals such as Journal of the Operational Research Society, International Journal of Forecasting and Foundations of Computing and Decision Sciences.

In The Last Decade

Stephen P. Curram

9 papers receiving 333 citations

Peers

Stephen P. Curram

MSOR

AI

ACCOU

EE

IS

Mehmet Özçalıcı Türkiye

Tzu-Yu Lin China

Shangkun Deng China

Chueh‐Yung Tsao Taiwan

Christoph Lohrmann Finland

Hsiao-Fen Hsiao China

Aslı Boru Türkiye

Arnab Bhattacharya United States

Lkhagvadorj Munkhdalai South Korea

R. Guo South Africa

Mehmet Özçalıcı Türkiye

Stephen P. Curram

311 ×1.6

MSOR

107 ×1.1

AI

19 ×0.4

ACCOU

91 ×1.9

EE

19 ×0.5

IS

Citations per year, relative to Stephen P. Curram Stephen P. Curram (= 1×) peers Mehmet Özçalıcı

Countries citing papers authored by Stephen P. Curram

Since Specialization

Citations

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

Fields of papers citing papers by Stephen P. Curram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen P. Curram

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen P. Curram. A scholar is included among the top collaborators of Stephen P. Curram 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 P. Curram. Stephen P. Curram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Curram, Stephen P., Antreas D. Athanassopoulos, & Estelle Shale. (2009). A frontier-based neural network for assessing the efficiency of activity units. Foundations of Computing and Decision Sciences. 23–39. 2 indexed citations

2.

Curram, Stephen P., et al.. (1996). Forecasting consumers' expenditure: A comparison between econometric and neural network models. International Journal of Forecasting. 12(2). 255–267. 50 indexed citations

3.

Athanassopoulos, Antreas D. & Stephen P. Curram. (1996). A Comparison of Data Envelopment Analysis and Artificial Neural Networks as Tools for Assessing the Efficiency of Decision Making Units. Journal of the Operational Research Society. 47(8). 1000–1016. 150 indexed citations

4.

Athanassopoulos, Antreas D. & Stephen P. Curram. (1996). A Comparison of Data Envelopment Analysis and Artificial Neural Networks as Tools for Assessing the Efficiency of Decision Making Units. Journal of the Operational Research Society. 47(8). 1000–1016. 4 indexed citations

5.

Athanassopoulos, Antreas D. & Stephen P. Curram. (1996). A Comparison of Data Envelopment Analysis and Artificial Neural Networks as Tools for Assessing the Efficiency of Decision Making Units. Journal of the Operational Research Society. 47(8). 1000–1000. 7 indexed citations

6.

Curram, Stephen P.. (1996). Sizewell B outage planning simulator. 1996. 71–75. 1 indexed citations

7.

Curram, Stephen P. & John Mingers. (1994). Neural Networks, Decision Tree Induction and Discriminant Analysis: an Empirical Comparison. Journal of the Operational Research Society. 45(4). 440–450. 12 indexed citations

8.

Curram, Stephen P. & John Mingers. (1994). Neural Networks, Decision Tree Induction and Discriminant Analysis: an Empirical Comparison. Journal of the Operational Research Society. 45(4). 440–450. 130 indexed citations

9.

Curram, Stephen P. & John Mingers. (1994). Neural Networks, Decision Tree Induction and Discriminant Analysis: An Empirical Comparison. Journal of the Operational Research Society. 45(4). 440–440. 4 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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