Arash Shaban‐Nejad

2.2k total citations
91 papers, 859 citations indexed

About

Arash Shaban‐Nejad is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Arash Shaban‐Nejad has authored 91 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 23 papers in Molecular Biology and 17 papers in General Health Professions. Recurrent topics in Arash Shaban‐Nejad's work include Biomedical Text Mining and Ontologies (23 papers), Semantic Web and Ontologies (16 papers) and Data Quality and Management (9 papers). Arash Shaban‐Nejad is often cited by papers focused on Biomedical Text Mining and Ontologies (23 papers), Semantic Web and Ontologies (16 papers) and Data Quality and Management (9 papers). Arash Shaban‐Nejad collaborates with scholars based in United States, Canada and United Kingdom. Arash Shaban‐Nejad's co-authors include Olufunto A. Olusanya, Nariman Ammar, Robert L. Davis, Chad Melton, David L. Buckeridge, Robert A. Bednarczyk, Eun Kyong Shin, Anya Okhmatovskaia, Volker Haarslev and Christopher J. O. Baker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Arash Shaban‐Nejad

86 papers receiving 836 citations

Peers

Arash Shaban‐Nejad
Comparison fields: 5 of 125
  • Artificial Intelligence 255
  • Health 231
  • Sociology and Political Science 145
  • General Health Professions 137
  • Epidemiology 137
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Citations per field, relative to Arash Shaban‐Nejad
Arash Shaban‐Nejad · 1×
Citations per year, relative to Arash Shaban‐Nejad
Arash Shaban‐Nejad · 1×

Countries citing papers authored by Arash Shaban‐Nejad

Since Specialization
Citations

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

Fields of papers citing papers by Arash Shaban‐Nejad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arash Shaban‐Nejad. 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 Arash Shaban‐Nejad. The network helps show where Arash Shaban‐Nejad may publish in the future.

Co-authorship network of co-authors of Arash Shaban‐Nejad

This figure shows the co-authorship network connecting the top 25 collaborators of Arash Shaban‐Nejad. A scholar is included among the top collaborators of Arash Shaban‐Nejad 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 Arash Shaban‐Nejad. Arash Shaban‐Nejad 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
# Work Indexed citations
1 1
2 0
3 1
4 26
5 4
6 1
7 7
8 6
9 14
10 9
11 7
12 41
13 1
14 7
15 1
16 34
17 6
18 12
19
Population Health Record: An Informatics Infrastructure for Management, Integration, and Analysis of Large Scale Population Health Data
1
20 2

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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