A. S. Akanda

45 papers receiving 930 citations

Peers

A. S. Akanda
Comparison fields: 5 of 88
  • Endocrinology 470
  • Modeling and Simulation 140
  • Oceanography 132
  • Nutrition and Dietetics 145
  • Water Science and Technology 128
Replace Antarpreet Jutla with:
Antarpreet Jutla United States
Taiichi Hayashi Japan
Joaquín Triñanes Spain
Aparna Lal Australia
Benjamin A. Cash United States
Robert J. Corner Australia
Benjamin H. Sherman United States
Damiano Pasetto Italy
Jennifer Small United States
Tristan McKenzie United States
A. S. Akanda relative to Antarpreet Jutla United States Antarpreet Jutla's profile →
Citations per field
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Antarpreet Jutla · 1×
Citations per year

Countries citing papers authored by A. S. Akanda

Since Specialization
Citations

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

Fields of papers citing papers by A. S. Akanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. Akanda. 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 A. S. Akanda. The network helps show where A. S. Akanda may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013137
2 201188
3 200981
4 201854
5 201052
6 201148
7 201739
8 201532
9 201730
10 201329
11 201227
12 201326
13 201223
14 202023
15 201722
16 201321
17
The Tigris-Euphrates River Basin: Mediating a Path Towards Regional Water Stability
200721
18 202020
19 201718
20 201417

About A. S. Akanda

A. S. Akanda is a scholar working on Endocrinology, Global and Planetary Change, Modeling and Simulation, Water Science and Technology and Oceanography, having authored 45 papers that have together received 965 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (23 papers), COVID-19 epidemiological studies (11 papers), Flood Risk Assessment and Management (8 papers), Hydrology and Watershed Management Studies (5 papers), Geophysics and Gravity Measurements (5 papers), Child Nutrition and Water Access (5 papers), Water resources management and optimization (5 papers) and Marine and coastal ecosystems (3 papers). The work is most often cited by research in Endocrinology (470 citations), Modeling and Simulation (140 citations), Oceanography (132 citations), Nutrition and Dietetics (145 citations) and Water Science and Technology (128 citations). A. S. Akanda has collaborated with scholars based in United States, Bangladesh and Saudi Arabia. Frequent co-authors include Antarpreet Jutla, Shafiqul Islam, Rita R. Colwell, Othman Fallatah, Mohamed Ahmed, Anwar Huq, Jeffrey K. Griffiths, R. Bradley Sack, Elizabeth Whitcombe and Bradd J. Haley. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, GeoHealth, Eos, Journal of Hydrology and Scientific Reports.

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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