Nova Ahmed

128 papers receiving 1.4k citations

Peers

Nova Ahmed
Comparison fields: 5 of 156
  • Human-Computer Interaction 182
  • Business and International Management 53
  • Information Systems 288
  • Dermatology 98
  • Gender Studies 99
Replace Ching‐Yi Chang with:
Ching‐Yi Chang Taiwan
Jay Chen United States
Hyojin Kim South Korea
Areej Malibari Saudi Arabia
Bing Wu China
Na Shi China
George Paltoglou Greece
Yijun Li China
Shirley Williams United Kingdom
Patricia Williams Australia
Nova Ahmed relative to Ching‐Yi Chang Taiwan Ching‐Yi Chang's profile →
Citations per field
00.5×12.3×
Ching‐Yi Chang · 1×
Citations per year

Countries citing papers authored by Nova Ahmed

Since Specialization
Citations

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

Fields of papers citing papers by Nova Ahmed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014125
2 2019117
3 201495
4 200483
5 199968
6 201856
7 202241
8 202139
9
The inhibitory effect of DL-alpha-tocopheryl ferulate in lecithin on melanogenesis.
200034
10 201634
11 199731
12 200628
13 199927
14 200326
15 201026
16 200726
17
"Privacy is not for me, it's for those rich women": Performative Privacy Practices on Mobile Phones by Women in South Asia
201826
18 201425
19 199724
20 200518

About Nova Ahmed

Nova Ahmed is a scholar working on Information Systems, Sociology and Political Science, Human-Computer Interaction, Computer Networks and Communications and Artificial Intelligence, having authored 141 papers that have together received 1.5k indexed citations. Recurring topics across this work include ICT in Developing Communities (32 papers), Innovative Human-Technology Interaction (17 papers), Innovation and Socioeconomic Development (11 papers), Child Development and Digital Technology (10 papers), Teaching and Learning Programming (9 papers), Impact of Technology on Adolescents (5 papers), Heart Rate Variability and Autonomic Control (5 papers) and Digital Mental Health Interventions (5 papers). The work is most often cited by research in Human-Computer Interaction (182 citations), Business and International Management (53 citations), Information Systems (288 citations), Dermatology (98 citations) and Gender Studies (99 citations). Nova Ahmed has collaborated with scholars based in Bangladesh, United States and United Kingdom. Frequent co-authors include Masamitsu Ichihashi, Md. Ashiqur Rahman, Masahito Ueda, Paul J. Thornalley, Syed Ishtiaque Ahmed, Nithya Sambasivan, Umakishore Ramachandran, Laura S. Gaytán‐Lugo, T. Osawa and Elizabeth F. Churchill. Their work appears in journals such as British Journal of Dermatology, Proceedings of the ACM on Human-Computer Interaction, interactions, Journal of Dermatological Science and Data Science Journal.

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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