Siddhartha Shakya

985 total citations
59 papers, 518 citations indexed

About

Siddhartha Shakya is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Siddhartha Shakya has authored 59 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 15 papers in Management Science and Operations Research and 11 papers in Computational Theory and Mathematics. Recurrent topics in Siddhartha Shakya's work include Metaheuristic Optimization Algorithms Research (19 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Fuzzy Logic and Control Systems (8 papers). Siddhartha Shakya is often cited by papers focused on Metaheuristic Optimization Algorithms Research (19 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Fuzzy Logic and Control Systems (8 papers). Siddhartha Shakya collaborates with scholars based in United Kingdom, United Arab Emirates and Spain. Siddhartha Shakya's co-authors include John McCall, Gilbert Owusu, Roberto Santana, Hani Hagras, José A. Lozano, Sunil Prasad Lohani, Rubén Armañanzas, Alexander Mendiburu, Concha Bielza and Andrei Petrovski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Siddhartha Shakya

49 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siddhartha Shakya United Kingdom 14 302 116 76 52 46 59 518
Heloisa A. Camargo Brazil 11 271 0.9× 103 0.9× 75 1.0× 46 0.9× 33 0.7× 79 491
Raj Subbu United States 13 274 0.9× 159 1.4× 110 1.4× 69 1.3× 97 2.1× 36 587
Tunçhan Cura Türkiye 9 184 0.6× 44 0.4× 167 2.2× 98 1.9× 51 1.1× 14 452
Zhongbao Zhou China 7 155 0.5× 158 1.4× 63 0.8× 46 0.9× 45 1.0× 15 388
Ricardo Lüders Brazil 13 116 0.4× 102 0.9× 42 0.6× 114 2.2× 42 0.9× 49 496
Łukasz Wróbel Poland 11 188 0.6× 82 0.7× 18 0.2× 26 0.5× 35 0.8× 37 378
Pedro Villar Spain 13 492 1.6× 133 1.1× 166 2.2× 14 0.3× 57 1.2× 21 659
Antonin Ponsich Mexico 11 329 1.1× 270 2.3× 146 1.9× 122 2.3× 108 2.3× 42 714
Mitat Uysal Türkiye 7 148 0.5× 40 0.3× 89 1.2× 143 2.8× 25 0.5× 20 447
Sinem Kulluk Türkiye 11 218 0.7× 39 0.3× 25 0.3× 38 0.7× 40 0.9× 20 398

Countries citing papers authored by Siddhartha Shakya

Since Specialization
Citations

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

Fields of papers citing papers by Siddhartha Shakya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddhartha Shakya

This figure shows the co-authorship network connecting the top 25 collaborators of Siddhartha Shakya. A scholar is included among the top collaborators of Siddhartha Shakya 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 Siddhartha Shakya. Siddhartha Shakya 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.
Shakya, Siddhartha, et al.. (2024). Optimal Wireless Meter Deployment Using Evolutionary Algorithms. 332–339.
2.
Shakya, Siddhartha, et al.. (2024). Forearm Bio-Medical Signal Processing. 2(1). 49–59.
3.
4.
Lohani, Sunil Prasad, et al.. (2021). Anaerobic co-digestion of food waste, poultry litter and sewage sludge: seasonal performance under ambient condition and model evaluation. Energy Sources Part A Recovery Utilization and Environmental Effects. 47(2). 26 indexed citations
5.
Lohani, Sunil Prasad, et al.. (2021). Waste to energy in Kathmandu Nepal—A way toward achieving sustainable development goals. Sustainable Development. 29(5). 906–914. 25 indexed citations
6.
Shakya, Siddhartha, et al.. (2020). An application of GA and EDA for passive in-building distributed antenna systems. 287–288. 3 indexed citations
7.
Santana, Roberto, et al.. (2020). Investigating RNNs for vehicle volume forecasting in service stations. abs 1707 666. 2625–2632. 4 indexed citations
8.
Shakya, Siddhartha, et al.. (2019). Predicting Demand in IoT Enabled Service Stations. 12. 81–87. 1 indexed citations
9.
Hagras, Hani, et al.. (2018). iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization. IEEE Transactions on Fuzzy Systems. 27(3). 502–514. 12 indexed citations
10.
Li, Yang, Siddhartha Shakya, & Gilbert Owusu. (2017). Integrated forecasting & planning for strategic & operational telecom field service delivery. 220. 981–989. 1 indexed citations
11.
Shakya, Siddhartha, et al.. (2017). Spares parts optimization for legacy telecom networks using a permutation-based evolutionary algorithm. 2. 1742–1748. 3 indexed citations
12.
Hagras, Hani, et al.. (2016). A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization. Memetic Computing. 8(4). 269–286. 3 indexed citations
13.
Shakya, Siddhartha, et al.. (2013). Isolation and Characterization of Arsenic Resistant Pseudomonas Stutzeri ASP3 for its Potential in Arsenic Resistance and Removal. Kathmandu University Journal of Science Engineering and Technology. 9(1). 48–59. 1 indexed citations
14.
Bilik, Igal, et al.. (2011). Analysis of AOA-TOA signal distribution in indoor environments. European Conference on Antennas and Propagation. 1646–1650. 1 indexed citations
15.
Santana, Roberto, Concha Bielza, Pedro Larrañaga, et al.. (2010). Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Bielza, Concha, Pedro Larrañaga, José A. Lozano, et al.. (2010). Mateda-2.0: Estimation of Distribution Algorithms in MATLAB. 10 indexed citations
17.
Mendiburu, Alexander, et al.. (2009). MATEDA: A suite of EDA programs in Matlab. 17 indexed citations
18.
Brownlee, Alexander E. I., John McCall, Siddhartha Shakya, & Qingfu Zhang. (2009). Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. 192. 447–454. 13 indexed citations
19.
Shakya, Siddhartha & Roberto Santana. (2008). An EDA based on local markov property and gibbs sampling. 475–476. 19 indexed citations
20.
Shakya, Siddhartha, et al.. (2006). Solving the Ising Spin Glass Problem using a Bivariate EDA based on Markov Random Fields. Open Access Institutional Repository at Robert Gordon University (Robert Gordon University). 908–915. 17 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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