Daniel J. Fonseca

800 total citations
38 papers, 611 citations indexed

About

Daniel J. Fonseca is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Daniel J. Fonseca has authored 38 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Industrial and Manufacturing Engineering, 8 papers in Control and Systems Engineering and 8 papers in Building and Construction. Recurrent topics in Daniel J. Fonseca's work include Manufacturing Process and Optimization (7 papers), Traffic Prediction and Management Techniques (5 papers) and Transportation Planning and Optimization (5 papers). Daniel J. Fonseca is often cited by papers focused on Manufacturing Process and Optimization (7 papers), Traffic Prediction and Management Techniques (5 papers) and Transportation Planning and Optimization (5 papers). Daniel J. Fonseca collaborates with scholars based in United States, Iran and Mexico. Daniel J. Fonseca's co-authors include Gary P. Moynihan, Timothy J. Greene, Paul S. Ray, Puneet Saxena, Robert G. Batson, Teik C. Lim, Gerald M. Knapp, Charles L. Karr, Charlene A. Yauch and R. Rajagopalan and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Fuzzy Sets and Systems.

In The Last Decade

Daniel J. Fonseca

35 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Fonseca United States 12 178 131 85 82 73 38 611
Rajesh Jugulum United States 12 199 1.1× 219 1.7× 93 1.1× 75 0.9× 78 1.1× 24 698
Gerald M. Knapp United States 13 128 0.7× 90 0.7× 132 1.6× 69 0.8× 71 1.0× 32 652
Zaifang Zhang China 16 193 1.1× 327 2.5× 71 0.8× 44 0.5× 89 1.2× 45 912
Robert G. Batson United States 10 81 0.5× 104 0.8× 49 0.6× 40 0.5× 69 0.9× 44 482
Rafael Batres Japan 13 183 1.0× 35 0.3× 90 1.1× 159 1.9× 55 0.8× 66 594
Wayne J. Davis United States 14 303 1.7× 183 1.4× 131 1.5× 31 0.4× 42 0.6× 54 703
Sunith Bandaru Sweden 16 181 1.0× 70 0.5× 51 0.6× 335 4.1× 33 0.5× 46 762
Indra Gunawan Australia 17 55 0.3× 117 0.9× 85 1.0× 44 0.5× 121 1.7× 84 806
Lian-Yin Zhai Singapore 10 59 0.3× 343 2.6× 56 0.7× 110 1.3× 35 0.5× 14 778
Marin D. Guenov United Kingdom 14 275 1.5× 86 0.7× 76 0.9× 19 0.2× 162 2.2× 54 760

Countries citing papers authored by Daniel J. Fonseca

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Fonseca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Fonseca. 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 Daniel J. Fonseca. The network helps show where Daniel J. Fonseca may publish in the future.

Co-authorship network of co-authors of Daniel J. Fonseca

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Fonseca. A scholar is included among the top collaborators of Daniel J. Fonseca 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 Daniel J. Fonseca. Daniel J. Fonseca 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.
Jalili, Nader, et al.. (2024). Educating the Workforce of the 21st Century through Smart Manufacturing Systems in the Classrooms. Papers on Engineering Education Repository (American Society for Engineering Education). 1 indexed citations
2.
Fonseca, Daniel J., et al.. (2020). Development of an Automated MATLAB Based Platform for the Analysis of Massive EEG Datasets. International Journal of Emerging Technology and Advanced Engineering. 10(11). 7–11. 1 indexed citations
3.
Moynihan, Gary P. & Daniel J. Fonseca. (2016). Contraflow evacuation e-planning system for I-65 in Alabama. Electronic Government an International Journal. 12(1). 47–47. 1 indexed citations
4.
Moynihan, Gary P. & Daniel J. Fonseca. (2016). Design of an Evacuation Demand Forecasting Module for Hurricane Planning Applications. Journal of Transportation Technologies. 6(5). 257–276. 3 indexed citations
5.
Yauch, Charlene A., et al.. (2014). Assessing the Effects of Organizational Culture, Rewards, and Individual Creativity on Technical Workgroup Performance. Creativity Research Journal. 26(4). 439–455. 23 indexed citations
6.
Jones, Steven, et al.. (2011). Investigating Initialization Times, Repetitions, and MOE Variability in Simulation of Under Saturated and Saturated Traffic Signals. Procedia - Social and Behavioral Sciences. 16. 470–480. 2 indexed citations
7.
Moynihan, Gary P., et al.. (2009). Evacuation Decision Support System for Road Incident Detection and Characterization. Journal of Homeland Security and Emergency Management. 6(1). 4 indexed citations
8.
Fonseca, Daniel J., et al.. (2007). Fuzzy short-run control charts. RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 14(2). 81–101. 6 indexed citations
9.
Moynihan, Gary P., Vineet Jain, Robert W. McLeod, & Daniel J. Fonseca. (2006). An expert system for financial ratio analysis. 1(2/3). 141–141. 9 indexed citations
10.
Rajagopalan, R. & Daniel J. Fonseca. (2006). A GENETIC ALGORITHM APPROACH FOR MACHINE CELL FORMATION. Journal of Advanced Manufacturing Systems. 5(1). 27–44. 7 indexed citations
11.
Fonseca, Daniel J., et al.. (2005). Manufacturing engineering education for underrepresented populations in the southeast. Journal of Manufacturing Systems. 24(3). 244–250. 3 indexed citations
12.
Moynihan, Gary P., Puneet Saxena, & Daniel J. Fonseca. (2005). Development of a decision support system for procurement operations. International Journal of Logistics Systems and Management. 2(1). 1–1. 24 indexed citations
13.
Rajagopalan, R. & Daniel J. Fonseca. (2005). VOLUME SENSITIVITY ANALYSIS FOR MANUFACTURING CELLS: A GENETIC ALGORITHM APPROACH. Journal of Advanced Manufacturing Systems. 4(2). 167–183. 3 indexed citations
14.
Fonseca, Daniel J., et al.. (2005). Earliness–tardiness production planning for just-in-time manufacturing: A unifying approach by goal programming. European Journal of Operational Research. 175(1). 508–515. 12 indexed citations
15.
Fonseca, Daniel J., et al.. (2003). A knowledge-based system for conveyor equipment selection. Expert Systems with Applications. 26(4). 615–623. 56 indexed citations
16.
Fonseca, Daniel J., et al.. (2003). A computer‐based system for road selection. Expert Systems. 20(3). 133–140. 1 indexed citations
17.
Fonseca, Daniel J., et al.. (2003). Simulation metamodeling through artificial neural networks. Engineering Applications of Artificial Intelligence. 16(3). 177–183. 142 indexed citations
18.
Fonseca, Daniel J., et al.. (2002). Artificial neural networks for job shop simulation. Advanced Engineering Informatics. 16(4). 241–246. 65 indexed citations
19.
Fonseca, Daniel J. & Gerald M. Knapp. (2001). A fuzzy scheme for failure mode screening. Fuzzy Sets and Systems. 121(3). 453–457. 12 indexed citations
20.
Fonseca, Daniel J.. (2000). A knowledge‐based system for preventive maintenance. Expert Systems. 17(5). 241–247. 9 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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