George Nasr

21 papers receiving 512 citations

Peers

George Nasr
Comparison fields: 5 of 94
  • Electrical and Electronic Engineering 303
  • Management Science and Operations Research 158
  • Renewable Energy, Sustainability and the Environment 144
  • Economics and Econometrics 101
  • Artificial Intelligence 86
Replace E. A. Badr with:
E. A. Badr Lebanon
Christos K. Simoglou Greece
Ariel Liebman Australia
Karl Mason Ireland
Peter Tzscheutschler Germany
Stylianos Sp. Pappas Greece
Felipe Valencia Chile
Mikael Amelin Sweden
Yuan Zeng China
Stylianos I. Vagropoulos Greece
George Nasr relative to E. A. Badr Lebanon E. A. Badr's profile →
Citations per field
00.5×1.5×
E. A. Badr · 1×
Citations per year

Countries citing papers authored by George Nasr

Since Specialization
Citations

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

Fields of papers citing papers by George Nasr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George Nasr. 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 George Nasr. The network helps show where George Nasr may publish in the future.

Co-authorship network of co-authors of George Nasr

This figure shows the co-authorship network connecting the top 25 collaborators of George Nasr. A scholar is included among the top collaborators of George Nasr 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 George Nasr. George Nasr 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 7
2
Stereo-vision calibration by multi-layer perceptrons of an artificial neural network
6
3 5
4 2
5
Modelling Exchange Rates during Currency Crisis using Neural Networks
1
6 1
7
BUC Algorithm for Iceberg Cubes: Implementation and Sensitivity Analysis.
1
8
Cross Entropy Error Function in Neural Networks: Forecasting Gasoline Demand
72
9 73
10 2
11 14
12
Neural Networks in Forecasting Electrical Energy Consumption
10
13 205
14 2
15 49
16 20
17 72
18
Enhanced Simulated Annealing Techniques for Multiprocessor Scheduling
2
19 3
20 2

About George Nasr

George Nasr is a scholar working on Management Science and Operations Research, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 22 papers that have together received 551 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Forecasting Techniques and Applications (6 papers) and Market Dynamics and Volatility (4 papers). The work is most often cited by research in Management Science and Operations Research (158 citations), General Energy (11 citations) and Renewable Energy, Sustainability and the Environment (144 citations). George Nasr has collaborated with scholars based in Lebanon and United States. Frequent co-authors include E. A. Badr, Samer S. Saab, Ghassan Dibeh, Roger Achkar, Wissam Fawaz, Zahi Nakad, R. Ghajar, A. Achkar and Chadi Abou‐Rjeily. Their work appears in journals such as Energy Conversion and Management, Energy and Energy Economics.

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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