Cesar Sanín

2.3k total citations · 1 hit paper
110 papers, 1.2k citations indexed

About

Cesar Sanín is a scholar working on Artificial Intelligence, Safety, Risk, Reliability and Quality and Management Information Systems. According to data from OpenAlex, Cesar Sanín has authored 110 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Artificial Intelligence, 33 papers in Safety, Risk, Reliability and Quality and 20 papers in Management Information Systems. Recurrent topics in Cesar Sanín's work include Experience-Based Knowledge Management (62 papers), Technology Assessment and Management (33 papers) and Big Data and Business Intelligence (16 papers). Cesar Sanín is often cited by papers focused on Experience-Based Knowledge Management (62 papers), Technology Assessment and Management (33 papers) and Big Data and Business Intelligence (16 papers). Cesar Sanín collaborates with scholars based in Australia, Poland and Spain. Cesar Sanín's co-authors include Edward Szczerbicki, Syed Imran Shafiq, Carlos Toro, Mohammad Maqbool Waris, Haoxi Zhang, Muhammad Bilal Ahmed, Eduardo Carrasco, Manuel Graña, Vineet Kumar and Jorge Posada and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Production Research and Neurocomputing.

In The Last Decade

Cesar Sanín

103 papers receiving 1.2k citations

Hit Papers

Virtual Engineering Object (VEO): Toward Experience-Based... 2015 2026 2018 2022 2015 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cesar Sanín Australia 19 553 485 258 232 132 110 1.2k
Μάρα Νικολαϊδου Greece 15 211 0.4× 89 0.2× 40 0.2× 211 0.9× 318 2.4× 110 911
Michael P. Brundage United States 19 192 0.3× 420 0.9× 164 0.6× 142 0.6× 137 1.0× 51 1.0k
Ljiljana Stojanović Germany 20 813 1.5× 241 0.5× 35 0.1× 233 1.0× 656 5.0× 80 1.4k
Tim Watson United Kingdom 15 335 0.6× 458 0.9× 42 0.2× 93 0.4× 479 3.6× 51 1.6k
Ramin Karim Sweden 17 201 0.4× 189 0.4× 195 0.8× 218 0.9× 147 1.1× 85 973
Ioannis T. Christou Greece 16 150 0.3× 188 0.4× 23 0.1× 144 0.6× 132 1.0× 66 811
Balbir Barn United Kingdom 12 105 0.2× 326 0.7× 38 0.1× 77 0.3× 210 1.6× 88 929
Bernhard Mitschang Germany 19 350 0.6× 379 0.8× 51 0.2× 293 1.3× 460 3.5× 208 1.5k
Alexandros Bousdekis Greece 14 106 0.2× 410 0.8× 165 0.6× 263 1.1× 81 0.6× 35 1.1k
Robert Cloutier United States 14 91 0.2× 78 0.2× 145 0.6× 74 0.3× 154 1.2× 55 532

Countries citing papers authored by Cesar Sanín

Since Specialization
Citations

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

Fields of papers citing papers by Cesar Sanín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cesar Sanín

This figure shows the co-authorship network connecting the top 25 collaborators of Cesar Sanín. A scholar is included among the top collaborators of Cesar Sanín 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 Cesar Sanín. Cesar Sanín 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.
Branković, Ljiljana, et al.. (2025). Advancements in Medicinal Plant Identification Using Deep Learning Techniques: A Comprehensive Review. Vietnam Journal of Computer Science. 13(2). 149–182. 1 indexed citations
2.
Sanín, Cesar, et al.. (2024). An Adversarial Machine Learning Approach on Securing Large Language Model with Vigil, an Open-Source Initiative. Procedia Computer Science. 246. 686–695.
3.
Sanín, Cesar, et al.. (2024). Use of ML and AI in Cybersecurity- A Survey. Procedia Computer Science. 246. 1260–1270.
4.
Branković, Ljiljana, et al.. (2024). A Systematic Review of Medicinal Plant Identification Using Deep Learning. Lecture notes in computer science. 3–14. 2 indexed citations
5.
Islam, Md Rafiqul, et al.. (2024). LDNet: A Robust Hybrid Approach for Lie Detection Using Deep Learning Techniques. Computers, materials & continua/Computers, materials & continua (Print). 81(2). 2845–2871.
6.
Branković, Ljiljana, et al.. (2024). Incremental and Zero-Shot Machine Learning for Vietnamese Medicinal Plant Image Classification. Procedia Computer Science. 246. 606–615. 2 indexed citations
7.
Sanín, Cesar. (2023). Artificial Intelligence: Current Perspectives and Alternative Paths. SHILAP Revista de lepidopterología. 26(57). e2731–e2731. 2 indexed citations
8.
Waris, Mohammad Maqbool, et al.. (2021). Evaluating Industry 4.0 Implementation Challenges Using Interpretive Structural Modeling and Fuzzy Analytic Hierarchy Process. Cybernetics & Systems. 52(5). 350–378. 43 indexed citations
9.
Sanín, Cesar, et al.. (2021). Where Did Knowledge Management Go?: A Comprehensive Survey. Cybernetics & Systems. 52(5). 461–476. 2 indexed citations
10.
Ahmed, Muhammad Bilal, Cesar Sanín, Syed Imran Shafiq, & Edward Szczerbicki. (2019). Experience based decisional DNA to support smart product design. Journal of Intelligent & Fuzzy Systems. 37(6). 7179–7187. 2 indexed citations
11.
Shafiq, Syed Imran, Cesar Sanín, Edward Szczerbicki, & Carlos Toro. (2016). Virtual Engineering Factory: Creating Experience Base for Industry 4.0. Cybernetics & Systems. 47(1-2). 32–47. 68 indexed citations
12.
Waris, Mohammad Maqbool, Cesar Sanín, & Edward Szczerbicki. (2016). Smart Innovation Management in Product Life Cycle. RUNE (Research UNE). 1 indexed citations
13.
Sanín, Cesar, et al.. (2010). The E-Decisional Community : an integrated knowledge sharing platform. NOVA (University of Newcastle, Australia). 53–60. 2 indexed citations
14.
Zhang, Haoxi, Cesar Sanín, & Edward Szczerbicki. (2010). Decisional DNA-based embedded systems: A new perspective. Systems Science. 36(1). 21–26. 2 indexed citations
15.
Sanín, Cesar, et al.. (2009). Towards the construction of a knowledge-oriented community. NOVA (University of Newcastle Australia).
16.
Sanín, Cesar & Edward Szczerbicki. (2008). Toward decisional DNA: developing holistic set of experience knowledge structure. NOVA (University of Newcastle Australia). 109–122. 6 indexed citations
17.
Toro, Carlos, Cesar Sanín, Edward Szczerbicki, & Jorge Posada. (2008). REFLEXIVE ONTOLOGIES: ENHANCING ONTOLOGIES WITH SELF-CONTAINED QUERIES. Cybernetics & Systems. 39(2). 171–189. 15 indexed citations
18.
Sanín, Cesar, et al.. (2007). Implementing decisional DNA in industrial maintenance by a knowledge SOUPA extension. Systems Science. 33(2). 61–68. 6 indexed citations
19.
Sanín, Cesar, Edward Szczerbicki, & Carlos Toro. (2007). An OWL Ontology of Set of Experience Knowledge Structure. JUCS - Journal of Universal Computer Science. 13. 209–223. 44 indexed citations
20.
Sanín, Cesar & Edward Szczerbicki. (2005). Set of experience: a knowledge structure for formal decision events. 95–113. 33 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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