Jay Kotecha

15 papers receiving 273 citations

Jay Kotecha's Hit Papers

Survey Fatigue During the COVID-19 Pandemic: An Analysis of Neurosurgery Survey Response Rates 2021 · 208 citations
2080+1+3Years since publication50100150200

Peers

Jay Kotecha
Comparison fields: 5 of 104
  • Health Informatics 5
  • Research and Theory 2
  • Health 15
  • Public Health, Environmental and Occupational Health 47
  • Issues, ethics and legal aspects 2
Replace Abdullah Egiz with:
Abdullah Egiz United Kingdom
Joshua Erhabor Morocco
David Ulrich Dalle Morocco
George Higginbotham United Kingdom
Rosaline de Koning United Kingdom
Dawin Sichimba Zambia
Nourou Dine Adeniran Bankolé Morocco
Hamzeh Al-Balas Jordan
Amanda Woodward United States
Christoper A. Alarcón-Ruiz Peru
Jay Kotecha relative to Abdullah Egiz United Kingdom Abdullah Egiz's profile →
Citations per field
00.5×4.5×
Abdullah Egiz · 1×
Citations per year

Countries citing papers authored by Jay Kotecha

Since Specialization
Citations

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

Fields of papers citing papers by Jay Kotecha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Jay Kotecha, 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 Jay Kotecha Line = papers co-authored together Jay Kotecha links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Survey Fatigue During the COVID-19 Pandemic: An Analysis of Neurosurgery Survey Response Rates
Hit paper breakdown →
2021208
2 201816
3 202111
4 20219
5 20229
6 20228
7 20224
8 20224
9 20203
10 20212
11 20212
12 20122
13 20221
14 20221
15 20141
16 20220
17 20220

About Jay Kotecha

Jay Kotecha is a scholar working on Surgery, Emergency Medicine, Genetics, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 17 papers that have together received 281 indexed citations. Recurring topics across this work include Trauma and Emergency Care Studies (3 papers), Glioma Diagnosis and Treatment (3 papers), Emergency and Acute Care Studies (2 papers), Spinal Cord Injury Research (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Surgical Simulation and Training (1 paper) and Global Health and Surgery (1 paper). The work is most often cited by research in Health Informatics (5 citations), Research and Theory (2 citations), Health (15 citations), Public Health, Environmental and Occupational Health (47 citations) and Issues, ethics and legal aspects (2 citations). Jay Kotecha has collaborated with scholars based in Morocco, United Kingdom and Russia. Frequent co-authors include Abdullah Egiz, David Ulrich Dalle, Nourou Dine Adeniran Bankolé, Ulrick Sidney Kanmounye, Soham Bandyopadhyay, Setthasorn Zhi Yang Ooi, Dawin Sichimba, George Higginbotham, Joshua Erhabor and Mehdi Khan. Their work appears in journals such as European Journal of Surgical Oncology, British journal of surgery, World Neurosurgery, Frontiers in Surgery and Dementia and Geriatric Cognitive Disorders Extra.

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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