Faraj

3.9k citations
3 papers · 3.0k · 1 hit paper · h-index 2

Impact in

Papers in

Journals
MIS Quarterly (1 paper)Journal of Mathematics and Statistics (1 paper)农业科学与技术:A (1 paper)
Partner nations
United StatesIraq

In The Last Decade

Faraj

3 papers receiving 2.9k citations

Faraj's Hit Papers

Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice1 2005 · 3.0k citations
3.0k0+7+14Years since publication50010001.5k2.0k2.5k

Peers

Faraj
Comparison fields: 5 of 106
  • Communication 1.9k
  • Information Systems and Management 959
  • Computer Science Applications 375
  • Sociology and Political Science 1.6k
  • Marketing 281
Replace Tung‐Ching Lin with:
Tung‐Ching Lin Taiwan
Jennifer L. Gibbs United States
Bernard C. Y. Tan Singapore
Joon Koh South Korea
Ángel Cabrera Chile
Michael J. Gallivan United States
Katja Hutter Austria
Wei‐Tsong Wang Taiwan
Noor Ismawati Jaafar Malaysia
Emmanuelle Vaast Canada
Faraj relative to Tung‐Ching Lin Taiwan Tung‐Ching Lin's profile →
Citations per field
00.5×1.5×2.3×
Tung‐Ching Lin · 1×
Citations per year

Countries citing papers authored by Faraj

Since Specialization
Citations

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

Fields of papers citing papers by Faraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Faraj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Faraj Line = papers co-authored together Faraj links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice1
Hit paper breakdown →
20052988
2 20102
3
Resistance of Hard Tick (Ixodidae) with some Acaricide in Cattle (Naturally Infestation) in Sulaimani Governorate Fields-Kurdistan Regional/Iraq
20131

About Faraj

Faraj is a scholar working on Infectious Diseases, Communication, Numerical Analysis, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 3 papers that have together received 3.0k indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (1 paper), Image and Signal Denoising Methods (1 paper), Viral Infections and Vectors (1 paper), Knowledge Management and Sharing (1 paper), Advanced Numerical Analysis Techniques (1 paper) and Social Capital and Networks (1 paper). The work is most often cited by research in Communication (1.9k citations), Information Systems and Management (959 citations), Computer Science Applications (375 citations), Sociology and Political Science (1.6k citations) and Marketing (281 citations). Faraj has collaborated with scholars based in United States and Iraq. Frequent co-authors include Molly Wasko. Their work appears in journals such as MIS Quarterly, Journal of Mathematics and Statistics and 农业科学与技术:A.

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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