Nada Elgendy

14 total papers · 799 total citations
7 papers, 413 citations indexed

About

Nada Elgendy is a scholar working on Management Information Systems, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Nada Elgendy has authored 7 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Information Systems, 3 papers in Management Science and Operations Research and 2 papers in Information Systems. Recurrent topics in Nada Elgendy's work include Big Data and Business Intelligence (6 papers), Data Quality and Management (2 papers) and Forecasting Techniques and Applications (1 paper). Nada Elgendy is often cited by papers focused on Big Data and Business Intelligence (6 papers), Data Quality and Management (2 papers) and Forecasting Techniques and Applications (1 paper). Nada Elgendy collaborates with scholars based in Sweden, Finland and Egypt. Nada Elgendy's co-authors include Ahmed Elragal and Tero Päivärinta and has published in prestigious journals such as Lecture notes in computer science, Journal of Enterprise Information Management and Journal of Decision System.

In The Last Decade

Nada Elgendy

6 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
Nada Elgendy	205	95	90	85	59	7	413
Maria Ijaz Baig	147 0.7×	101 1.1×	59 0.7×	83 1.0×	90 1.5×	16	493
Khawar Hameed	102 0.5×	159 1.7×	90 1.0×	36 0.4×	39 0.7×	13	401
Radha K. Mahapatra	99 0.5×	114 1.2×	62 0.7×	120 1.4×	43 0.7×	14	442
Jeffrey L. Whitten	184 0.9×	238 2.5×	47 0.5×	108 1.3×	29 0.5×	8	490
Imane El Alaoui	127 0.6×	100 1.1×	116 1.3×	165 1.9×	25 0.4×	18	372
Jan Jöhnk	152 0.7×	69 0.7×	46 0.5×	88 1.0×	50 0.8×	15	437
Rajendra Sonar	91 0.4×	187 2.0×	113 1.3×	89 1.0×	38 0.6×	22	429
Mitzi G. Pitts	107 0.5×	155 1.6×	55 0.6×	57 0.7×	89 1.5×	10	491
Q.B. Chung	145 0.7×	70 0.7×	84 0.9×	58 0.7×	66 1.1×	29	468
Kim Gang-Hoon	133 0.6×	79 0.8×	102 1.1×	73 0.9×	56 0.9×	5	384

Countries citing papers authored by Nada Elgendy

Since Specialization

Citations

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

Fields of papers citing papers by Nada Elgendy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nada Elgendy

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