Farida K. Ejaz

1.3k citations
49 papers · 1.0k · h-index 15

Impact in

Papers in

Farida K. Ejaz

45 papers receiving 925 citations

Peers

Farida K. Ejaz
Comparison fields: 5 of 73
  • General Health Professions 586
  • Leadership and Management 17
  • Demography 166
  • Health 103
  • Neuropsychology and Physiological Psychology 16
Replace Heather L. Menne with:
Heather L. Menne United States
Margaret M. Ross Canada
Anita De Bellis Australia
Karen M. Robinson United States
Abe Oudshoorn Canada
Banghwa Lee Casado United States
Annica Kihlgren Sweden
Ådel Bergland Norway
Ian Needham Switzerland
Mercedes Bern‐Klug United States
Farida K. Ejaz relative to Heather L. Menne United States Heather L. Menne's profile →
Citations per field
00.5×3.2×
Heather L. Menne · 1×
Citations per year

Countries citing papers authored by Farida K. Ejaz

Since Specialization
Citations

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

Fields of papers citing papers by Farida K. Ejaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Farida K. Ejaz, 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 Farida K. Ejaz Line = papers co-authored together Farida K. Ejaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001143
2 2008120
3 199488
4
Satisfaction surveys in long-term care
199966
5 200752
6 199451
7 200345
8 200144
9 201539
10 200238
11 201038
12 200934
13 200633
14 200725
15 201219
16 200114
17 200114
18 200214
19 201013
20 201312

About Farida K. Ejaz

Farida K. Ejaz is a scholar working on General Health Professions, Demography, Sociology and Political Science, Clinical Psychology and Health, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (25 papers), Intergenerational Family Dynamics and Caregiving (9 papers), Elder Abuse and Neglect (8 papers), Migration, Aging, and Tourism Studies (6 papers), Healthcare Decision-Making and Restraints (5 papers), Dementia and Cognitive Impairment Research (5 papers), Social Work Education and Practice (4 papers) and Palliative Care and End-of-Life Issues (4 papers). The work is most often cited by research in General Health Professions (586 citations), Leadership and Management (17 citations), Demography (166 citations), Health (103 citations) and Neuropsychology and Physiological Psychology (16 citations). Farida K. Ejaz has collaborated with scholars based in United States and India. Frequent co-authors include Linda S. Noelker, James Jones, Heather L. Menne, Wendy J. Looman, Carol J. Whitlatch, Miriam Rose, Joshua G. Bagaka’s, Jiska Cohen‐Mansfield, Perla Werner and Lauren Harris-Kojetin. Their work appears in journals such as Journal of Elder Abuse & Neglect, Journal of Aging & Social Policy, The Gerontologist, Journal of Applied Gerontology and Innovation in Aging.

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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