Nadia Nedjah

480 total papers · 4.0k total citations
261 papers, 2.3k citations indexed

About

Nadia Nedjah is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nadia Nedjah has authored 261 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Artificial Intelligence, 59 papers in Computer Networks and Communications and 53 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nadia Nedjah's work include Coding theory and cryptography (34 papers), Cryptography and Residue Arithmetic (34 papers) and Evolutionary Algorithms and Applications (30 papers). Nadia Nedjah is often cited by papers focused on Coding theory and cryptography (34 papers), Cryptography and Residue Arithmetic (34 papers) and Evolutionary Algorithms and Applications (30 papers). Nadia Nedjah collaborates with scholars based in Brazil, China and India. Nadia Nedjah's co-authors include Luiza de Macedo Mourelle, Brij B. Gupta, L. Jóźwiak, Igor Santos, Alan Oliveira de Sá, Leandro dos Santos Coelho, Miguel Figueroa, Xiaojun Chang, Ajith Abraham and Pooja Chaudhary and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Nadia Nedjah

237 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nadia Nedjah 968 579 419 403 386 261 2.3k
Paul A. Fishwick 769 0.8× 542 0.9× 259 0.6× 324 0.8× 223 0.6× 200 3.0k
Una-May O’Reilly 1.6k 1.7× 558 1.0× 383 0.9× 225 0.6× 331 0.9× 148 3.0k
Kalyan Veeramachaneni 1.3k 1.3× 470 0.8× 362 0.9× 364 0.9× 307 0.8× 81 2.5k
Zoran Salčić 870 0.9× 604 1.0× 184 0.4× 455 1.1× 948 2.5× 255 2.9k
Paolo Nesi 606 0.6× 737 1.3× 832 2.0× 696 1.7× 306 0.8× 240 3.3k
Xiao Chen 443 0.5× 483 0.8× 366 0.9× 453 1.1× 317 0.8× 130 2.0k
Miguel A. Vega‐Rodríguez 1.0k 1.1× 448 0.8× 204 0.5× 463 1.1× 664 1.7× 300 3.1k
Sheng‐De Wang 942 1.0× 464 0.8× 290 0.7× 757 1.9× 260 0.7× 126 2.5k
Jin Song Dong 1.1k 1.2× 617 1.1× 882 2.1× 287 0.7× 250 0.6× 216 2.8k
Muhammad Rashid 650 0.7× 210 0.4× 497 1.2× 435 1.1× 444 1.2× 176 2.2k

Countries citing papers authored by Nadia Nedjah

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Nedjah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Nedjah

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Nedjah. A scholar is included among the top collaborators of Nadia Nedjah 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 Nadia Nedjah. Nadia Nedjah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026