Daphne Lopez

2.3k total citations · 1 hit paper
37 papers, 984 citations indexed

About

Daphne Lopez is a scholar working on Artificial Intelligence, Computer Networks and Communications and Modeling and Simulation. According to data from OpenAlex, Daphne Lopez has authored 37 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 6 papers in Modeling and Simulation. Recurrent topics in Daphne Lopez's work include COVID-19 epidemiological studies (6 papers), Data Stream Mining Techniques (6 papers) and Artificial Intelligence in Healthcare (5 papers). Daphne Lopez is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Data Stream Mining Techniques (6 papers) and Artificial Intelligence in Healthcare (5 papers). Daphne Lopez collaborates with scholars based in India, United States and Australia. Daphne Lopez's co-authors include Gunasekaran Manogaran, R. Varatharajan, Chandu Thota, Priyan Malarvizhi Kumar, Revathi Sundarasekar, Nancy Victor, Jemal Abawajy, Naveen Chilamkurti, Kaja Abbas and X.Z. Gao and has published in prestigious journals such as Information Sciences, Applied Soft Computing and Future Generation Computer Systems.

In The Last Decade

Daphne Lopez

35 papers receiving 929 citations

Hit Papers

A new architecture of Internet of Things and big data eco... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daphne Lopez India 15 335 296 217 141 113 37 984
Subhendu Kumar Pani India 19 269 0.8× 209 0.7× 295 1.4× 81 0.6× 126 1.1× 65 1.1k
Surjeet Dalal India 20 340 1.0× 244 0.8× 189 0.9× 115 0.8× 118 1.0× 84 995
J. Anuradha India 11 352 1.1× 162 0.5× 176 0.8× 88 0.6× 126 1.1× 31 942
Munish Bhatia India 19 254 0.8× 492 1.7× 336 1.5× 75 0.5× 154 1.4× 104 1.2k
Sabah Mohammed Canada 16 376 1.1× 265 0.9× 200 0.9× 90 0.6× 124 1.1× 157 1.2k
Jafar Habibi Iran 17 633 1.9× 375 1.3× 341 1.6× 289 2.0× 51 0.5× 97 1.3k
Muhammad Fermi Pasha Malaysia 17 346 1.0× 442 1.5× 544 2.5× 105 0.7× 118 1.0× 71 1.4k
Ebrahim Mahdipour Iran 15 233 0.7× 435 1.5× 320 1.5× 53 0.4× 83 0.7× 33 1.0k
Muhammad Saleem Pakistan 15 245 0.7× 217 0.7× 208 1.0× 94 0.7× 135 1.2× 36 896
Shabib Aftab Pakistan 22 557 1.7× 271 0.9× 625 2.9× 159 1.1× 72 0.6× 50 1.5k

Countries citing papers authored by Daphne Lopez

Since Specialization
Citations

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

Fields of papers citing papers by Daphne Lopez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daphne Lopez

This figure shows the co-authorship network connecting the top 25 collaborators of Daphne Lopez. A scholar is included among the top collaborators of Daphne Lopez 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 Daphne Lopez. Daphne Lopez 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.
Lopez, Daphne, et al.. (2025). Deep Neural Networks and Experience Replay in Q-learning Extensions: A Review. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 33(4). 401–432.
2.
Lopez, Daphne, et al.. (2024). Experience Replay Optimization via ESMM for Stable Deep Reinforcement Learning. International Journal of Advanced Computer Science and Applications. 15(1). 1 indexed citations
3.
Lopez, Daphne, et al.. (2023). Experience Replay Optimisation via ATSC and TSC for Performance Stability in Deep RL. Applied Sciences. 13(4). 2034–2034. 5 indexed citations
4.
Kesarkar, Amit P., et al.. (2020). High‐performance implementation of a two‐bit geohash coding technique for nearest neighbor search. Concurrency and Computation Practice and Experience. 33(5). 4 indexed citations
5.
Victor, Nancy & Daphne Lopez. (2020). sl-LSTM. International Journal of Grid and High Performance Computing. 12(3). 1–16. 3 indexed citations
6.
Lopez, Daphne, et al.. (2020). Deep Learning Model to predict the outbreak of Dengue in Tamil Nadu based on human mobility. International Journal of Infectious Diseases. 101. 361–361.
7.
Lopez, Daphne, Gunasekaran Manogaran, R. Varatharajan, & Kaja Abbas. (2018). An intelligent decision support system to prevent and control of dengue. Journal of Ambient Intelligence and Humanized Computing. 6 indexed citations
8.
Manogaran, Gunasekaran, Daphne Lopez, & Naveen Chilamkurti. (2018). In-Mapper combiner based MapReduce algorithm for processing of big climate data. Future Generation Computer Systems. 86. 433–445. 36 indexed citations
9.
Manogaran, Gunasekaran & Daphne Lopez. (2018). Health data analytics using scalable logistic regression with stochastic gradient descent. International Journal of Advanced Intelligence Paradigms. 10(1/2). 118–118. 42 indexed citations
10.
Lopez, Daphne, et al.. (2018). A scaled‐down neural conversational model for chatbots. Concurrency and Computation Practice and Experience. 31(10). 7 indexed citations
11.
Lopez, Daphne, et al.. (2017). Modelling the H1N1 influenza using mathematical and neural network approaches. Biomedical Research-tokyo. 28(8). 3711–3715. 17 indexed citations
12.
Manogaran, Gunasekaran & Daphne Lopez. (2017). A survey of big data architectures and machine learning algorithms in healthcare. International Journal of Biomedical Engineering and Technology. 25(2/3/4). 182–182. 80 indexed citations
13.
Parimala, M. & Daphne Lopez. (2016). Spatio-Temporal Modelling of Frequent Human Mobility Pattern to Analyse the Dynamics of Epidemic Disease. International journal of intelligent engineering and systems. 9(4). 167–178. 1 indexed citations
14.
Lopez, Daphne, et al.. (2015). Feature Selection used for Wind Speed Forecasting with Data Driven Approaches. Journal of Engineering Science and Technology Review. 8(5). 124–127. 22 indexed citations
15.
Victor, Nancy, Daphne Lopez, & Jemal Abawajy. (2015). Privacy models for big data: a survey. 3(1). 61–61. 55 indexed citations
16.
Parimala, M. & Daphne Lopez. (2015). Graph clustering based on Structural Attribute Neighborhood Similarity (SANS). 1–4. 4 indexed citations
17.
Parimala, M. & Daphne Lopez. (2015). K-Neighbourhood Structural Similarity Approach for Spatial Clustering. Indian Journal of Science and Technology. 8(23). 3 indexed citations
18.
Lopez, Daphne, et al.. (2012). DECISION MAKING IN AGRICULTURE BASED ON LAND SUITABILITY - SPATIAL DATA ANALYSIS APPROACH. 16 indexed citations
19.
Raja, S. V. Kasmir & Daphne Lopez. (2011). Dynamic task scheduling using service time error and virtual finish time. 2(5). 90–97. 1 indexed citations
20.
Murugan, B. S. & Daphne Lopez. (2011). A Survey of Resource Discovery Approaches in Distributed Computing Environment. International Journal of Computer Applications. 22(9). 44–46. 2 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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