Alexandru Pîrjan

412 total citations
35 papers, 258 citations indexed

About

Alexandru Pîrjan is a scholar working on Electrical and Electronic Engineering, Information Systems and Artificial Intelligence. According to data from OpenAlex, Alexandru Pîrjan has authored 35 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Alexandru Pîrjan's work include Energy Load and Power Forecasting (7 papers), Smart Grid Energy Management (4 papers) and Solar Radiation and Photovoltaics (4 papers). Alexandru Pîrjan is often cited by papers focused on Energy Load and Power Forecasting (7 papers), Smart Grid Energy Management (4 papers) and Solar Radiation and Photovoltaics (4 papers). Alexandru Pîrjan collaborates with scholars based in Romania. Alexandru Pîrjan's co-authors include Dana-Mihaela Petroșanu, Adela Bârã and Simona‐Vasilica Oprea and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Sustainability.

In The Last Decade

Alexandru Pîrjan

28 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandru Pîrjan Romania 9 88 46 38 31 27 35 258
Dana-Mihaela Petroșanu Romania 9 70 0.8× 41 0.9× 37 1.0× 29 0.9× 27 1.0× 20 264
Zhe Luo China 10 199 2.3× 26 0.6× 14 0.4× 22 0.7× 17 0.6× 34 378
Karin Kandananond Thailand 8 144 1.6× 40 0.9× 29 0.8× 39 1.3× 33 1.2× 23 302
Ammar Al‐Bazi United Kingdom 10 85 1.0× 31 0.7× 61 1.6× 42 1.4× 85 3.1× 50 325
Gabriela Proştean Romania 8 54 0.6× 11 0.2× 22 0.6× 24 0.8× 35 1.3× 57 272
Octavian Proștean Romania 10 151 1.7× 25 0.5× 25 0.7× 40 1.3× 8 0.3× 86 372
Jun Woo Kim South Korea 10 168 1.9× 35 0.8× 15 0.4× 56 1.8× 92 3.4× 52 401
Nikhil Dev India 9 51 0.6× 20 0.4× 11 0.3× 11 0.4× 32 1.2× 24 340
Xiaobin Li China 12 67 0.8× 37 0.8× 17 0.4× 44 1.4× 153 5.7× 43 414

Countries citing papers authored by Alexandru Pîrjan

Since Specialization
Citations

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

Fields of papers citing papers by Alexandru Pîrjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandru Pîrjan

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandru Pîrjan. A scholar is included among the top collaborators of Alexandru Pîrjan 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 Alexandru Pîrjan. Alexandru Pîrjan 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.
Petroșanu, Dana-Mihaela, et al.. (2023). Tracing the Influence of Large Language Models across the Most Impactful Scientific Works. Electronics. 12(24). 4957–4957. 16 indexed citations
2.
Oprea, Simona‐Vasilica, et al.. (2018). Analyses of Distributed Generation and Storage Effect on the Electricity Consumption Curve in the Smart Grid Context. Sustainability. 10(7). 2264–2264. 16 indexed citations
3.
Pîrjan, Alexandru, et al.. (2017). An analysis of the main Characteristics and Implementation Requirements of the Advanced Metering Infrastructure Systems in Romania. RePEc: Research Papers in Economics. 7(3). 34–45. 2 indexed citations
4.
Pîrjan, Alexandru. (2016). A Mixed Approach Towards Improving Software Performance Of Compute Unified Device Architecture Applications. RePEc: Research Papers in Economics. 10(2). 448–459. 1 indexed citations
5.
Pîrjan, Alexandru, et al.. (2015). Research Issues Regarding The Bitcoin And Alternative Coins Digital Currencies. RePEc: Research Papers in Economics. 9(1). 199–212. 8 indexed citations
6.
Petroșanu, Dana-Mihaela & Alexandru Pîrjan. (2015). Solutions For Developing And Extending Rich Graphical User Interfaces For Office Applications. RePEc: Research Papers in Economics. 9(1). 157–167. 2 indexed citations
7.
Pîrjan, Alexandru. (2015). Solutions For Repurposing The Default Actions And States Of The Office Controls Through Component Object Model Add-Ins. RePEc: Research Papers in Economics. 9(1). 136–146.
8.
Pîrjan, Alexandru & Dana-Mihaela Petroșanu. (2014). Improving Parallel Programming In The Compute Unified Device Architecture Using The Unified Memory Feature. RePEc: Research Papers in Economics. 8(2). 352–362. 1 indexed citations
9.
Pîrjan, Alexandru & Dana-Mihaela Petroșanu. (2013). The Impact Of 3d Printing Technology On The Society And Economy. RePEc: Research Papers in Economics. 7(2). 360–370. 67 indexed citations
10.
Petroșanu, Dana-Mihaela & Alexandru Pîrjan. (2012). Economic Considerations Regarding The Opportunity Of Optimizing Data Processing Using Graphics Processing Units. RePEc: Research Papers in Economics. 6(1). 204–215. 1 indexed citations
11.
Petroșanu, Dana-Mihaela, et al.. (2012). Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Pîrjan, Alexandru. (2012). Solutions For Optimizing The Stream Compaction Algorithmic Function Using The Compute Unified Device Architecture. RePEc: Research Papers in Economics. 6(1). 216–231. 1 indexed citations
13.
Petroșanu, Dana-Mihaela, et al.. (2011). Solutions For Optimizing The Data Parallel Prefix Sum Algorithm Using The Compute Unified Device Architecture. RePEc: Research Papers in Economics. 5. 465–477. 4 indexed citations
14.
Pîrjan, Alexandru. (2011). The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture. SHILAP Revista de lepidopterología. 1(1). 37–47.
15.
Pîrjan, Alexandru. (2010). Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Pîrjan, Alexandru. (2010). Electronic Commerce Security In The Context Of The Means Of Payment Dematerialization. RePEc: Research Papers in Economics. 4(1). 183–194. 1 indexed citations
17.
Pîrjan, Alexandru, et al.. (2010). Research Issues Concerning Algorithms Used For Optimizing The Data Mining Process. RePEc: Research Papers in Economics. 4(2). 108–125. 3 indexed citations
18.
Pîrjan, Alexandru. (2010). Improving Software Performance in the Compute Unified Device Architecture. SHILAP Revista de lepidopterología. 4 indexed citations
19.
Pîrjan, Alexandru & Dana-Mihaela Petroșanu. (2008). DEMATERIALIZED MONIES – NEW MEANS OF PAYMENT. Romanian economic business review. 3(2). 37–47. 3 indexed citations
20.
Pîrjan, Alexandru & Dana-Mihaela Petroșanu. (2008). A Comparison Of The Most Popular Electronic Micropayment Systems. RePEc: Research Papers in Economics. 3(1). 277–293. 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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