Haig Pakhchanian

562 citations
52 papers · 312 indexed · h-index 9

Haig Pakhchanian

46 papers receiving 308 citations

Peers

Haig Pakhchanian
Comparison fields: 5 of 81
  • Health Informatics 7
  • Infectious Diseases 89
  • Dermatology 34
  • Neurology 58
  • Health 25
Replace Rahul Raiker with:
Rahul Raiker United States
Eefje Jong Netherlands
Erik H Vogelzang Netherlands
Patrick Whelan United States
Marita Zimmermann United States
Reuben J. Arasaratnam United States
Ligita Jančorienė Lithuania
Shubhra Mishra India
Ramie Fathy United States
V. Rémy France
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Citations per field
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Rahul Raiker · 1×
Citations per year

Countries citing papers authored by Haig Pakhchanian

Since Specialization
Citations

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

Fields of papers citing papers by Haig Pakhchanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20228
4 20222
5 20220
6 20221
7 20221
8 20216
9 202117
10 20214
11
Associations between a Strabismus Diagnosis and Subsequent Mental Health Disorders in Children and Adolescents
20211
12 20211
13 20214
14 20213
15 20214
16 20213
17 202018
18 202029
19
Readability Analysis of Dacryocystorhinostomy Online Patient Information
20201
20 201616

About Haig Pakhchanian

Haig Pakhchanian is a scholar working on Dermatology, Ophthalmology and Emergency Medical Services, having authored 52 papers that have together received 312 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (10 papers), COVID-19 Clinical Research Studies (5 papers), Data-Driven Disease Surveillance (5 papers), Patient Satisfaction in Healthcare (4 papers), Dermatology and Skin Diseases (4 papers), Retinal and Optic Conditions (4 papers), Healthcare Policy and Management (4 papers) and Dermatological and COVID-19 studies (3 papers). The work is most often cited by research in Health Informatics (7 citations), Infectious Diseases (89 citations) and Dermatology (34 citations). Haig Pakhchanian has collaborated with scholars based in United States, Türkiye and India. Frequent co-authors include Rahul Raiker, Sinan Kardeş, Chengappa Kavadichanda, Sakir Ahmed, Latika Gupta, Mine Karagülle, Shailendra Singh, William E. Bentley, Mohammad Bilal and Gregory F. Payne. Their work appears in journals such as Journal of Investigative Dermatology, Journal of the American Academy of Dermatology, Dermatologic Surgery, Seminars in Ophthalmology and Seminars in Arthritis and Rheumatism.

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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