Hind Bitar

414 citations
22 papers · 174 · h-index 5

Impact in

Papers in

Hind Bitar

21 papers receiving 169 citations

Peers

Hind Bitar
Comparison fields: 5 of 91
  • Health Informatics 6
  • General Health Professions 58
  • Human-Computer Interaction 11
  • Public Health, Environmental and Occupational Health 54
  • Applied Psychology 9
Replace Sarah Alismail with:
Sarah Alismail United States
José F. Flórez-Arango United States
Terje Solvoll Norway
Azita Yazdani Iran
Stefano Canali Italy
Jorge Calvillo‐Arbizu Spain
Afsoon Asadzadeh Iran
Ahjung Byun South Korea
Marina Zhanaliyeva Kazakhstan
Sarah Chaytor United Kingdom
Hind Bitar relative to Sarah Alismail United States Sarah Alismail's profile →
Citations per field
00.5×1.5×
Sarah Alismail · 1×
Citations per year

Countries citing papers authored by Hind Bitar

Since Specialization
Citations

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

Fields of papers citing papers by Hind Bitar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Hind Bitar, 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 Hind Bitar Line = papers co-authored together Hind Bitar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021106
2 202111
3 20237
4 20237
5 20224
6 20224
7 20214
8 20164
9 20214
10 20234
11 20163
12 20213
13 20242
14 20222
15 20172
16 20172
17
A Prototype for Alzheimer’s Disease Early Diagnosis to Assist Caregivers and Physicians
20161
18
Geographic Decision Support Systems To Optimize The Placement Of Distributed Energy Resources
20161
19 20241
20 20201

About Hind Bitar

Hind Bitar is a scholar working on General Health Professions, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Epidemiology and Human-Computer Interaction, having authored 22 papers that have together received 174 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (5 papers), Augmented Reality Applications (3 papers), Hand Gesture Recognition Systems (2 papers), Power Systems and Technologies (2 papers), Cervical Cancer and HPV Research (2 papers), COVID-19 and Mental Health (2 papers), Electric Vehicles and Infrastructure (1 paper) and Health Literacy and Information Accessibility (1 paper). The work is most often cited by research in Health Informatics (6 citations), General Health Professions (58 citations), Human-Computer Interaction (11 citations), Public Health, Environmental and Occupational Health (54 citations) and Applied Psychology (9 citations). Hind Bitar has collaborated with scholars based in United States, Saudi Arabia and South Sudan. Frequent co-authors include Sarah Alismail, Maram Meccawy, Ahmed Alzahrani, Brian Hilton and Terry Ryan. Their work appears in journals such as Digital Health, Journal of Infection and Public Health, International Journal of Environmental Research and Public Health, Journal of Intelligent Systems and SHILAP Revista de lepidopterología.

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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