Nabíl Schear

31 total papers · 442 total citations
15 papers, 204 citations indexed

About

Nabíl Schear is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Nabíl Schear has authored 15 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Nabíl Schear's work include Cloud Data Security Solutions (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Security and Verification in Computing (4 papers). Nabíl Schear is often cited by papers focused on Cloud Data Security Solutions (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Security and Verification in Computing (4 papers). Nabíl Schear collaborates with scholars based in United States and Vietnam. Nabíl Schear's co-authors include Emily Shen, Sophia Yakoubov, Thomas Moyer, Arkady Yerukhimovich, Vijay Gadepally, Samuel T. King, David M. Nicol, Qing Zhang, Wajih Ul Hassan and Kevin Butler and has published in prestigious journals such as SIMULATION.

In The Last Decade

Nabíl Schear

14 papers receiving 191 citations

Author Peers

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

Author						Papers	Cites
Nabíl Schear	141	115	104	92	11	15	204
Liping Peng	111 0.8×	116 1.0×	70 0.7×	98 1.1×	13 1.2×	13	223
Michael D. Iannacone	155 1.1×	168 1.5×	120 1.2×	95 1.0×	4 0.4×	12	260
Wei Wang	111 0.8×	175 1.5×	79 0.8×	111 1.2×	3 0.3×	16	221
Mustafa Kaiiali	75 0.5×	192 1.7×	174 1.7×	159 1.7×	6 0.5×	20	277
Luke Valenta	118 0.8×	74 0.6×	78 0.8×	49 0.5×	4 0.4×	11	179
Matthias Brantner	87 0.6×	243 2.1×	138 1.3×	87 0.9×	15 1.4×	10	276
Abhay Mehta	77 0.5×	220 1.9×	132 1.3×	138 1.5×	7 0.6×	16	269
Robert Krahn	159 1.1×	113 1.0×	160 1.5×	39 0.4×	11 1.0×	17	253
Peter Frühwirt	66 0.5×	92 0.8×	188 1.8×	141 1.5×	6 0.5×	14	261
Asmaa Sallam	98 0.7×	197 1.7×	126 1.2×	148 1.6×	7 0.6×	14	257

Countries citing papers authored by Nabíl Schear

Since Specialization

Citations

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

Fields of papers citing papers by Nabíl Schear

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabíl Schear

This figure shows the co-authorship network connecting the top 25 collaborators of Nabíl Schear. A scholar is included among the top collaborators of Nabíl Schear 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 Nabíl Schear. Nabíl Schear 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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