Jorge C. Pais

3.0k total citations · 1 hit paper
159 papers, 2.1k citations indexed

About

Jorge C. Pais is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jorge C. Pais has authored 159 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Civil and Structural Engineering, 29 papers in Mechanical Engineering and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jorge C. Pais's work include Asphalt Pavement Performance Evaluation (96 papers), Infrastructure Maintenance and Monitoring (87 papers) and Innovative concrete reinforcement materials (31 papers). Jorge C. Pais is often cited by papers focused on Asphalt Pavement Performance Evaluation (96 papers), Infrastructure Maintenance and Monitoring (87 papers) and Innovative concrete reinforcement materials (31 papers). Jorge C. Pais collaborates with scholars based in Portugal, Brazil and Spain. Jorge C. Pais's co-authors include Paulo A. A. Pereirâ, Manuel J. C. Minhoto, Francisco M. Fernandes, Glicério Trichês, Luís Picado-Santos, Jorge B. Sousa, Mezgeen Rasol, Vega Pérez‐Gracia, Ignacio Pérez Pérez and A.R. Pasandín and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and European Heart Journal.

In The Last Decade

Jorge C. Pais

133 papers receiving 1.9k citations

Hit Papers

GPR monitoring for road transport infrastructure: A syste... 2022 2026 2023 2024 2022 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
Jorge C. Pais Portugal 25 1.6k 375 337 236 230 159 2.1k
Amara Loulizi United States 25 1.0k 0.6× 268 0.7× 296 0.9× 41 0.2× 97 0.4× 83 1.6k
Christina Plati Greece 20 947 0.6× 521 1.4× 232 0.7× 30 0.1× 158 0.7× 77 1.4k
Musharraf Zaman United States 33 3.0k 1.9× 367 1.0× 760 2.3× 278 1.2× 34 0.1× 187 3.6k
Mostafa A. Elseifi United States 30 3.2k 2.0× 142 0.4× 695 2.1× 253 1.1× 51 0.2× 165 3.4k
Krzysztof Schabowicz Poland 22 883 0.6× 381 1.0× 309 0.9× 132 0.6× 46 0.2× 84 1.4k
Liyuan Liu China 19 486 0.3× 293 0.8× 555 1.6× 94 0.4× 66 0.3× 90 1.5k
Shihui Shen United States 35 2.9k 1.8× 105 0.3× 518 1.5× 236 1.0× 53 0.2× 114 3.1k
Emad Kassem United States 26 1.6k 1.0× 85 0.2× 331 1.0× 102 0.4× 77 0.3× 87 1.8k
Łukasz Sadowski Poland 32 2.6k 1.6× 303 0.8× 417 1.2× 125 0.5× 82 0.4× 177 3.3k
Hervé Di Benedetto France 45 5.8k 3.6× 159 0.4× 936 2.8× 409 1.7× 100 0.4× 210 6.1k

Countries citing papers authored by Jorge C. Pais

Since Specialization
Citations

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

Fields of papers citing papers by Jorge C. Pais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge C. Pais. 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 Jorge C. Pais. The network helps show where Jorge C. Pais may publish in the future.

Co-authorship network of co-authors of Jorge C. Pais

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge C. Pais. A scholar is included among the top collaborators of Jorge C. Pais 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 Jorge C. Pais. Jorge C. Pais 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
3.
Pais, Jorge C., Paulo A. A. Pereirâ, & Liseane Padilha Thives. (2023). Wander Effect on Pavement Performance for Application in Connected and Autonomous Vehicles. Infrastructures. 8(8). 119–119. 1 indexed citations
4.
Pais, Jorge C., et al.. (2023). Improving Fatigue and Rutting Resistance of Road Pavements Using Aramid Fibers. SHILAP Revista de lepidopterología. 65–65.
5.
Jesus, Carlos M. G., et al.. (2022). Mix design and physical and mechanical properties of pervious concretes. Materiales de Construcción. 72(348). e297–e297. 2 indexed citations
6.
Rasol, Mezgeen, Jorge C. Pais, Vega Pérez‐Gracia, et al.. (2022). GPR monitoring for road transport infrastructure: A systematic review and machine learning insights. Construction and Building Materials. 324. 126686–126686. 112 indexed citations breakdown →
7.
Cunha, Pedro Silva, Jorge C. Pais, & Mário Oliveira. (2021). His‐bundle pacing as an alternative to CRT in a patient with left bundle branch block, left ventricular dysfunction, and TAVI‐induced complete AV block. SHILAP Revista de lepidopterología. 9(4). 2245–2248. 1 indexed citations
8.
Fernandes, Francisco M., et al.. (2018). GPR dipoles orientation in road pavement cracking identification. EGUGA. 16166. 1 indexed citations
9.
Pais, Jorge C., et al.. (2018). The adjustment of pavement deflections due to temperature variations. International Journal of Pavement Engineering. 21(13). 1585–1594. 8 indexed citations
10.
Reis, Liliana, Rogério Teixeira, Andreia Fernandes, et al.. (2018). Prevention of Sudden Cardiac Death in Hypertrophic Cardiomyopathy: What has Changed in The Guidelines?. Arquivos Brasileiros de Cardiologia. 110(6). 524–531. 1 indexed citations
11.
Trichês, Glicério, et al.. (2008). Comparison between asphalt rubber and conventional mixtures in overlay design. RepositóriUM (Universidade do Minho). 2 indexed citations
12.
Pereirâ, Paulo A. A., Jorge C. Pais, Elisabete F. Freitas, Hugo Manuel Ribeiro Dias da Silva, & Joel Oliveira. (2007). The road network rehabilitation for the 21st century: a global vision on innovation in road rehabilitation. RepositóriUM (Universidade do Minho). 3(1). 1 indexed citations
13.
Trichês, Glicério, et al.. (2007). Desempenho de misturas betuminosas com betume modificado com borracha através do processo húmido. RepositóriUM (Universidade do Minho). 67(5). 182–5. 1 indexed citations
14.
Oliveira, Joel, Jorge C. Pais, Nicholas Howard Thom, & Salah E. Zoorob. (2007). A Study of the Fatigue Properties of Grouted Macadams. RepositóriUM (Universidade do Minho). 6(1). 6357–6362. 12 indexed citations
15.
Pais, Jorge C., et al.. (2002). VARIABILITY OF LABORATORY FATIGUE LIFE OF BITUMINOUS MIXTURES USING FOUR POINT BENDING TEST RESULTS. 1(2). 1 indexed citations
16.
Sousa, Jorge B., et al.. (2002). Development of a mechanistic-empirical based overlay design method for reflective cracking. Transportation Research Record Journal of the Transportation Research Board. 209–217. 15 indexed citations
17.
Pais, Jorge C., et al.. (2000). An overlay design method for reflective cracking. RepositóriUM (Universidade do Minho). 120(10). 1120–5. 6 indexed citations
18.
Pereirâ, Paulo A. A., Jorge C. Pais, & Jorge B. Sousa. (2000). MODELLING THE EFFECT OF TRUCK SPEED ON PERMANENT DEFORMATION OF ASPHALT MIXES. Road Materials and Pavement Design. 1(2). 1 indexed citations
19.
Pereirâ, Paulo A. A., Jorge C. Pais, & Jorge B. Sousa. (1999). Modeling the effect of truck speed on permanent deformation of asphalt concrete mixes. Road Materials and Pavement Design. 1(2). 197–207. 3 indexed citations
20.
Pais, Jorge C., Paulo A. A. Pereirâ, & Jorge B. Sousa. (1998). Field measurements of crack activity and laboratory simulation of crack reflection phenomenon in pavement overlays. Skeletal Radiology. 40(11). 1481–5.

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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