Daniel J. Acosta

1.3k citations
13 papers · 876 indexed · 1 hit paper · h-index 5
Topics
Microplastics and Plastic Pollution (4 papers)biodegradable polymer synthesis and properties (3 papers)History and Theory of Mathematics (2 papers)
Partner nations
United StatesItalyChina

In The Last Decade

Daniel J. Acosta

11 papers receiving 860 citations

Hit Papers

Machine learning-aided engineering of hydrolases for PET ...20222026202320242022250500750

Peers

Daniel J. Acosta
Comparison fields: 5 of 100
  • Pollution 450
  • Biomaterials 369
  • Molecular Biology 239
  • Industrial and Manufacturing Engineering 228
  • Biomedical Engineering 140
Replace Wantae Kim with:
Wantae Kim United States
Daniel J. Diaz United States
Giyoung Shin South Korea
Yingying Qu China
Hongyuan Lu United States
Abhijit N. Shirke United States
Maria Kanelli Greece
Japheth E. Gado United States
Lixin Ma China
Daniel J. Acosta relative to Wantae Kim United States Wantae Kim's profile →
Citations per field
00.5×1.5×
Wantae Kim · 1×
Citations per year

Countries citing papers authored by Daniel J. Acosta

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Acosta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Acosta. 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 Daniel J. Acosta. The network helps show where Daniel J. Acosta may publish in the future.

Co-authorship network of co-authors of Daniel J. Acosta

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Acosta. A scholar is included among the top collaborators of Daniel J. Acosta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Acosta. Daniel J. Acosta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 3
3 30
4 15
5
Machine learning-aided engineering of hydrolases for PET depolymerizationbreakdown →
767
6 1
7 1
8 1
9 3
10 48
11 1
12 4
13 2

About Daniel J. Acosta

Daniel J. Acosta is a scholar working on Theoretical Computer Science, Pollution and Biomaterials, having authored 13 papers that have together received 876 indexed citations. Recurring topics across this work include Microplastics and Plastic Pollution (4 papers), biodegradable polymer synthesis and properties (3 papers) and History and Theory of Mathematics (2 papers). The work is most often cited by research in Pollution (450 citations), Biomaterials (369 citations) and Industrial and Manufacturing Engineering (228 citations). Daniel J. Acosta has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Hal S. Alper, Yan Zhang, Andrew D. Ellington, Daniel J. Diaz, Wantae Kim, Nathaniel A. Lynd, Hongyuan Lu, Congzhi Zhu, Raghav Shroff and Hannah Cole. Their work appears in journals such as Nature, Nature Communications and The ISME 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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