Achla Marathe

4.0k citations
99 papers · 2.2k · h-index 25

Impact in

Papers in

Achla Marathe

95 papers receiving 2.1k citations

Peers

Achla Marathe
Comparison fields: 5 of 142
  • Modeling and Simulation 271
  • Health 198
  • Economics and Econometrics 673
  • Renewable Energy, Sustainability and the Environment 363
  • Pollution 239
Replace Zhijun Yan with:
Zhijun Yan China
Benjiang Ma China
Michael D. Intriligator United States
Mei Sun China
Andrea Flori Italy
Hazhir Rahmandad United States
Timothy Fraser United States
Benjamin D. Trump United States
Camelia Delcea Romania
Zhidong Cao China
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Citations per field
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Citations per year

Countries citing papers authored by Achla Marathe

Since Specialization
Citations

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

Fields of papers citing papers by Achla Marathe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006345
2 2017189
3 2003114
4 2011114
5 200286
6 201874
7 200374
8 200470
9 200153
10 201049
11 201041
12 201540
13 202139
14 200239
15 200437
16 201836
17 201333
18 200533
19 201732
20 201531

About Achla Marathe

Achla Marathe is a scholar working on Modeling and Simulation, Epidemiology, Economics and Econometrics, Management Science and Operations Research and Statistical and Nonlinear Physics, having authored 99 papers that have together received 2.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (24 papers), Complex Network Analysis Techniques (12 papers), Data-Driven Disease Surveillance (10 papers), Electric Power System Optimization (9 papers), Auction Theory and Applications (9 papers), Opinion Dynamics and Social Influence (8 papers), Smart Grid Energy Management (7 papers) and Influenza Virus Research Studies (7 papers). The work is most often cited by research in Modeling and Simulation (271 citations), Health (198 citations), Economics and Econometrics (673 citations), Renewable Energy, Sustainability and the Environment (363 citations) and Pollution (239 citations). Achla Marathe has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Pallab Mozumder, Madhav Marathe, Hany A. Shawky, Chris Barrett, Samarth Swarup, Kaja Abbas, Anil Vullikanti, Gloria J. Kang, William F. Vásquez and Martin Drozda. Their work appears in journals such as PLoS ONE, Scientific Reports, Social Network Analysis and Mining, Utilities Policy and BMJ Open.

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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