Sham Haidar

404 citations
20 papers · 254 indexed · h-index 7
Topics
Multilingual Education and Policy (12 papers)Second Language Learning and Teaching (9 papers)EFL/ESL Teaching and Learning (5 papers)
Journals
SHILAP Revista de lepidopterologíaTeaching in Higher EducationInteractive Learning Environments
Partner nations
PakistanKazakhstanChina

In The Last Decade

Sham Haidar

15 papers receiving 238 citations

Peers

Sham Haidar
Comparison fields: 5 of 35
  • Literature and Literary Theory 121
  • Linguistics and Language 104
  • Language and Linguistics 96
  • Education 79
  • Sociology and Political Science 44
Replace Christian W. Chun with:
Christian W. Chun United States
Mireia Trenchs Parera Spain
Hamza R’boul Hong Kong
Johanna Ennser‐Kananen Finland
Tope Omoniyi United Kingdom
Adriana Bolí­var Venezuela
Jeffrey Gil Australia
Virginia Zavala Peru
Catherine Kell New Zealand
Shirley Jordan United Kingdom
Sham Haidar relative to Christian W. Chun United States Christian W. Chun's profile →
Citations per field
00.5×2.9×
Christian W. Chun · 1×
Citations per year

Countries citing papers authored by Sham Haidar

Since Specialization
Citations

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

Fields of papers citing papers by Sham Haidar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sham Haidar

This figure shows the co-authorship network connecting the top 25 collaborators of Sham Haidar. A scholar is included among the top collaborators of Sham Haidar 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 Sham Haidar. Sham Haidar 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
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 2
6 1
7 24
8 4
9
Challenges to Female Educational Leaders in Pakistan: Effectiveness of Female Educational Leaders
0
10 6
11 10
12 3
13 5
14 34
15 68
16 26
17 2
18 28
19 40
20
THE EFFECTS OF COMPUTER-ASSISTED INSTRUCTION AND VARIABLE CERTIFICATION REQUIREMENTS ON STUDENT PERFORMANCE IN UNDERGRADUATE STATISTICS CLASSES
0

About Sham Haidar

Sham Haidar is a scholar working on Linguistics and Language, Literature and Literary Theory and Language and Linguistics, having authored 20 papers that have together received 254 indexed citations. Recurring topics across this work include Multilingual Education and Policy (12 papers), Second Language Learning and Teaching (9 papers) and EFL/ESL Teaching and Learning (5 papers). The work is most often cited by research in Linguistics and Language (104 citations), Literature and Literary Theory (121 citations) and Language and Linguistics (96 citations). Sham Haidar has collaborated with scholars based in Pakistan, Kazakhstan and China. Frequent co-authors include Fan Fang, Syed Abdul Manan, Riaz Hassan, Iftikhar Ahmed Khan, Lana Ivanitskaya and Lawrence Fulton. Their work appears in journals such as SHILAP Revista de lepidopterología, Teaching in Higher Education and Interactive Learning Environments.

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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